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You searched for +publisher:"University of Illinois – Urbana-Champaign" +contributor:("Levinson, Stephen E."). Showing records 1 – 29 of 29 total matches.

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University of Illinois – Urbana-Champaign

1. Bryan, Jacob. Autoregressive hidden Markov models and the speech signal.

Degree: MS, 1200, 2015, University of Illinois – Urbana-Champaign

 This thesis introduces an autoregressive hidden Markov model (HMM) and demonstrates its application to the speech signal. This new variant of the HMM is built… (more)

Subjects/Keywords: language acquisition; Hidden Markov Model (HMM); linear prediction; speech; signal processing; linear prediction coefficient (LPC)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Bryan, J. (2015). Autoregressive hidden Markov models and the speech signal. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/72994

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bryan, Jacob. “Autoregressive hidden Markov models and the speech signal.” 2015. Thesis, University of Illinois – Urbana-Champaign. Accessed November 15, 2019. http://hdl.handle.net/2142/72994.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bryan, Jacob. “Autoregressive hidden Markov models and the speech signal.” 2015. Web. 15 Nov 2019.

Vancouver:

Bryan J. Autoregressive hidden Markov models and the speech signal. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2015. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/2142/72994.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bryan J. Autoregressive hidden Markov models and the speech signal. [Thesis]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/72994

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Urbana-Champaign

2. Wang, Felix. Analysis framework for adaptive spiking neural networks.

Degree: MS, 1200, 2014, University of Illinois – Urbana-Champaign

 Learning is an inherently closed-loop process that involves the interaction between an intelligent agent and its environment. In the human brain, we assert that the… (more)

Subjects/Keywords: Spiking Neural Network; Phenomenological models; Bottom-up; Learning; Adaptation; Closed-loop; Parallel; Asynchronous; Simulation

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APA (6th Edition):

Wang, F. (2014). Analysis framework for adaptive spiking neural networks. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/50483

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wang, Felix. “Analysis framework for adaptive spiking neural networks.” 2014. Thesis, University of Illinois – Urbana-Champaign. Accessed November 15, 2019. http://hdl.handle.net/2142/50483.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wang, Felix. “Analysis framework for adaptive spiking neural networks.” 2014. Web. 15 Nov 2019.

Vancouver:

Wang F. Analysis framework for adaptive spiking neural networks. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2014. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/2142/50483.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang F. Analysis framework for adaptive spiking neural networks. [Thesis]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/50483

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Urbana-Champaign

3. Duda, Alexander Michael. Towards a neocortically-inspired ab initio cellular model of associative memory.

Degree: PhD, Electrical & Computer Engr, 2015, University of Illinois – Urbana-Champaign

 We are interested in self-organization and adaptation in intelligent systems that are robustly coupled with the real world. Such systems have a variety of sensory… (more)

Subjects/Keywords: Ab Initio Cellular Models; Associative Memory; Attractors; Complex Networks; Emergence; Information-Preserving; Multi-Scale Modeling; Neurorobotics; Nonlinear Dynamics; Real-World Coupling; Spiking Neural Networks; Spike-timing Dependent Plasticity; Spike-timing Dependent Plasticity (STDP) Learning; Topological Adaptation

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APA (6th Edition):

Duda, A. M. (2015). Towards a neocortically-inspired ab initio cellular model of associative memory. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/78735

Chicago Manual of Style (16th Edition):

Duda, Alexander Michael. “Towards a neocortically-inspired ab initio cellular model of associative memory.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed November 15, 2019. http://hdl.handle.net/2142/78735.

MLA Handbook (7th Edition):

Duda, Alexander Michael. “Towards a neocortically-inspired ab initio cellular model of associative memory.” 2015. Web. 15 Nov 2019.

Vancouver:

Duda AM. Towards a neocortically-inspired ab initio cellular model of associative memory. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/2142/78735.

Council of Science Editors:

Duda AM. Towards a neocortically-inspired ab initio cellular model of associative memory. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/78735


University of Illinois – Urbana-Champaign

4. Majure, Lydia. Developmental model of sensorimotor map acquisition for a humanoid robot.

Degree: PhD, 1200, 2013, University of Illinois – Urbana-Champaign

 Cognitive developmental robotics unites machine learning and neuroscience with the aim of creating robots which display the robustness and efficiency of human cognition. This document… (more)

Subjects/Keywords: Cognitive Developmental Robotics; Artificial Intelligence; Humanoid Robotics; Machine Learning; Neural Dynamics

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APA (6th Edition):

Majure, L. (2013). Developmental model of sensorimotor map acquisition for a humanoid robot. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/45648

Chicago Manual of Style (16th Edition):

Majure, Lydia. “Developmental model of sensorimotor map acquisition for a humanoid robot.” 2013. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed November 15, 2019. http://hdl.handle.net/2142/45648.

MLA Handbook (7th Edition):

Majure, Lydia. “Developmental model of sensorimotor map acquisition for a humanoid robot.” 2013. Web. 15 Nov 2019.

Vancouver:

Majure L. Developmental model of sensorimotor map acquisition for a humanoid robot. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2013. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/2142/45648.

Council of Science Editors:

Majure L. Developmental model of sensorimotor map acquisition for a humanoid robot. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2013. Available from: http://hdl.handle.net/2142/45648


University of Illinois – Urbana-Champaign

5. Niehaus, Logan. Robots as language users: a computational model for pragmatic word learning.

Degree: PhD, 1200, 2014, University of Illinois – Urbana-Champaign

 The development of machines capable of natural linguistic interaction with humans has been an active and diverse area of research for decades. More recent frameworks,… (more)

Subjects/Keywords: cognitive robotics; language acquisition; cognitive modeling; pragmatics

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APA (6th Edition):

Niehaus, L. (2014). Robots as language users: a computational model for pragmatic word learning. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/50430

Chicago Manual of Style (16th Edition):

Niehaus, Logan. “Robots as language users: a computational model for pragmatic word learning.” 2014. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed November 15, 2019. http://hdl.handle.net/2142/50430.

MLA Handbook (7th Edition):

Niehaus, Logan. “Robots as language users: a computational model for pragmatic word learning.” 2014. Web. 15 Nov 2019.

Vancouver:

Niehaus L. Robots as language users: a computational model for pragmatic word learning. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2014. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/2142/50430.

Council of Science Editors:

Niehaus L. Robots as language users: a computational model for pragmatic word learning. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/50430


University of Illinois – Urbana-Champaign

6. Wendt, Luke Adam. Optimal nonlinear control and estimation using global domain linearization.

Degree: PhD, Electrical & Computer Engr, 2017, University of Illinois – Urbana-Champaign

 Alan Turing teaches that cognition is symbol processing. Norbert Wiener teaches that intelligence rests on feedback control. Thus, there are discrete symbols and continuous sensory-motor… (more)

Subjects/Keywords: Approximate; Domain; Optimal; Nonlinear; Control; Estimation; Linearization; Generalized; Radial; Basis; Continuous; Dynamic; Differential; Feedback

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APA (6th Edition):

Wendt, L. A. (2017). Optimal nonlinear control and estimation using global domain linearization. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/98334

Chicago Manual of Style (16th Edition):

Wendt, Luke Adam. “Optimal nonlinear control and estimation using global domain linearization.” 2017. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed November 15, 2019. http://hdl.handle.net/2142/98334.

MLA Handbook (7th Edition):

Wendt, Luke Adam. “Optimal nonlinear control and estimation using global domain linearization.” 2017. Web. 15 Nov 2019.

Vancouver:

Wendt LA. Optimal nonlinear control and estimation using global domain linearization. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2017. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/2142/98334.

Council of Science Editors:

Wendt LA. Optimal nonlinear control and estimation using global domain linearization. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/98334


University of Illinois – Urbana-Champaign

7. Bryan, Jacob. A sensorimotor basis of speech communication.

Degree: PhD, Electrical & Computer Engr, 2019, University of Illinois – Urbana-Champaign

 This dissertation presents the development of sensorimotor primitives as a means of constructing a language-agnostic model of speech communication. Insights from major theories in speech… (more)

Subjects/Keywords: speech; langauge; artificial intelligence; speech signal processing; speech communication; speech articulation; sensorimotor primitives; speech primitives; variational autoencoder; inverse channel encoder

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APA (6th Edition):

Bryan, J. (2019). A sensorimotor basis of speech communication. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/104777

Chicago Manual of Style (16th Edition):

Bryan, Jacob. “A sensorimotor basis of speech communication.” 2019. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed November 15, 2019. http://hdl.handle.net/2142/104777.

MLA Handbook (7th Edition):

Bryan, Jacob. “A sensorimotor basis of speech communication.” 2019. Web. 15 Nov 2019.

Vancouver:

Bryan J. A sensorimotor basis of speech communication. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2019. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/2142/104777.

Council of Science Editors:

Bryan J. A sensorimotor basis of speech communication. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2019. Available from: http://hdl.handle.net/2142/104777


University of Illinois – Urbana-Champaign

8. Xu, Xun. Appearance based modeling and learning of the human face with application to biometrics.

Degree: PhD, 1200, 2010, University of Illinois – Urbana-Champaign

 In this dissertation we study key problems in face processing, with a focus on the applications in biometrics, including both hard biometrics (i.e. conventional face… (more)

Subjects/Keywords: computer vision; pattern recognition; machine learning; face recognition; face alignment; biometrics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Xu, X. (2010). Appearance based modeling and learning of the human face with application to biometrics. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/16531

Chicago Manual of Style (16th Edition):

Xu, Xun. “Appearance based modeling and learning of the human face with application to biometrics.” 2010. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed November 15, 2019. http://hdl.handle.net/2142/16531.

MLA Handbook (7th Edition):

Xu, Xun. “Appearance based modeling and learning of the human face with application to biometrics.” 2010. Web. 15 Nov 2019.

Vancouver:

Xu X. Appearance based modeling and learning of the human face with application to biometrics. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2010. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/2142/16531.

Council of Science Editors:

Xu X. Appearance based modeling and learning of the human face with application to biometrics. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/16531


University of Illinois – Urbana-Champaign

9. Sharma, Harsh. Acoustic model adaptation for recognition of dysarthric speech.

Degree: PhD, 1200, 2012, University of Illinois – Urbana-Champaign

 Speech production errors characteristic of dysarthria are chiefly responsible for the low accuracy of automatic speech recognition (ASR) when used by people diagnosed with the… (more)

Subjects/Keywords: Hidden Markov Model (HMM); model adaptation; acoustic model; acoustic model adaptation; dysarthria; speech recognition; automatic speech recognition (ASR); assistive technology; isolated word recognition; UA-Speech; motor speech disorder

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APA (6th Edition):

Sharma, H. (2012). Acoustic model adaptation for recognition of dysarthric speech. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/31966

Chicago Manual of Style (16th Edition):

Sharma, Harsh. “Acoustic model adaptation for recognition of dysarthric speech.” 2012. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed November 15, 2019. http://hdl.handle.net/2142/31966.

MLA Handbook (7th Edition):

Sharma, Harsh. “Acoustic model adaptation for recognition of dysarthric speech.” 2012. Web. 15 Nov 2019.

Vancouver:

Sharma H. Acoustic model adaptation for recognition of dysarthric speech. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2012. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/2142/31966.

Council of Science Editors:

Sharma H. Acoustic model adaptation for recognition of dysarthric speech. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2012. Available from: http://hdl.handle.net/2142/31966


University of Illinois – Urbana-Champaign

10. Huang, Jui Ting. Semi-supervised learning for acoustic and prosodic modeling in speech applications.

Degree: PhD, 1200, 2012, University of Illinois – Urbana-Champaign

 Enormous amounts of audio recordings of human speech are essential ingredients for building reliable statistical models for many speech applications, such as automatic speech recognition… (more)

Subjects/Keywords: Semi-Supervised Learning; Speech Recognition; Acoustic Modeling; Prosodic Modeling

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APA (6th Edition):

Huang, J. T. (2012). Semi-supervised learning for acoustic and prosodic modeling in speech applications. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/32006

Chicago Manual of Style (16th Edition):

Huang, Jui Ting. “Semi-supervised learning for acoustic and prosodic modeling in speech applications.” 2012. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed November 15, 2019. http://hdl.handle.net/2142/32006.

MLA Handbook (7th Edition):

Huang, Jui Ting. “Semi-supervised learning for acoustic and prosodic modeling in speech applications.” 2012. Web. 15 Nov 2019.

Vancouver:

Huang JT. Semi-supervised learning for acoustic and prosodic modeling in speech applications. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2012. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/2142/32006.

Council of Science Editors:

Huang JT. Semi-supervised learning for acoustic and prosodic modeling in speech applications. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2012. Available from: http://hdl.handle.net/2142/32006


University of Illinois – Urbana-Champaign

11. Bharadwaj, Sujeeth Subramanya. A theory of (almost) zero resource speech recognition.

Degree: PhD, Electrical & Computer Engr, 2015, University of Illinois – Urbana-Champaign

 Automatic speech recognition has matured into a commercially successful technology, enabling voice-based interfaces for smartphones, smart TVs, and many other consumer devices. The overwhelming popularity,… (more)

Subjects/Keywords: Speech recognition; Unsupervised learning; PAC-Bayesian theory; Language Modeling; Acoustic Event Detection; anomaly detection

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APA (6th Edition):

Bharadwaj, S. S. (2015). A theory of (almost) zero resource speech recognition. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/78343

Chicago Manual of Style (16th Edition):

Bharadwaj, Sujeeth Subramanya. “A theory of (almost) zero resource speech recognition.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed November 15, 2019. http://hdl.handle.net/2142/78343.

MLA Handbook (7th Edition):

Bharadwaj, Sujeeth Subramanya. “A theory of (almost) zero resource speech recognition.” 2015. Web. 15 Nov 2019.

Vancouver:

Bharadwaj SS. A theory of (almost) zero resource speech recognition. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/2142/78343.

Council of Science Editors:

Bharadwaj SS. A theory of (almost) zero resource speech recognition. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/78343


University of Illinois – Urbana-Champaign

12. Le, Vuong. 3D face processing for animation and biometrics.

Degree: PhD, 1200, 2014, University of Illinois – Urbana-Champaign

 In this dissertation we study core problems in 3D face processing with their important applications in biometrics and graphics. We propose efficient and accurate feature… (more)

Subjects/Keywords: 3D shape modeling; performance driven avatar; 3D morphable model; face tracking; optical flow; gaze estimation; facial animation; facial feature localization; expression recognition; nonrigid tracking; motion model

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APA (6th Edition):

Le, V. (2014). 3D face processing for animation and biometrics. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/49853

Chicago Manual of Style (16th Edition):

Le, Vuong. “3D face processing for animation and biometrics.” 2014. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed November 15, 2019. http://hdl.handle.net/2142/49853.

MLA Handbook (7th Edition):

Le, Vuong. “3D face processing for animation and biometrics.” 2014. Web. 15 Nov 2019.

Vancouver:

Le V. 3D face processing for animation and biometrics. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2014. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/2142/49853.

Council of Science Editors:

Le V. 3D face processing for animation and biometrics. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/49853


University of Illinois – Urbana-Champaign

13. Cheng, Zuofu. Design of a real-time GPU accelerated acoustic simulation engine for interactive applications.

Degree: PhD, 1200, 2014, University of Illinois – Urbana-Champaign

 Current-generation video game applications use sampled recordings along with positional audio and modular effects to create the audio experience. While computationally efficient, this presents multiple… (more)

Subjects/Keywords: room acoustics; audio; Digital Signal Processor (DSP); Graphics Processing Unit (GPU); parallel; video games; simulation

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APA (6th Edition):

Cheng, Z. (2014). Design of a real-time GPU accelerated acoustic simulation engine for interactive applications. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/50364

Chicago Manual of Style (16th Edition):

Cheng, Zuofu. “Design of a real-time GPU accelerated acoustic simulation engine for interactive applications.” 2014. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed November 15, 2019. http://hdl.handle.net/2142/50364.

MLA Handbook (7th Edition):

Cheng, Zuofu. “Design of a real-time GPU accelerated acoustic simulation engine for interactive applications.” 2014. Web. 15 Nov 2019.

Vancouver:

Cheng Z. Design of a real-time GPU accelerated acoustic simulation engine for interactive applications. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2014. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/2142/50364.

Council of Science Editors:

Cheng Z. Design of a real-time GPU accelerated acoustic simulation engine for interactive applications. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/50364


University of Illinois – Urbana-Champaign

14. Johnson, Erik C. Minimum-error, energy-constrained source coding by sensory neurons.

Degree: PhD, Electrical & Computer Engr, 2016, University of Illinois – Urbana-Champaign

 Neural coding, the process by which neurons represent, transmit, and manipulate physical signals, is critical to the function of the nervous system. Despite years of… (more)

Subjects/Keywords: neural coding; sensory neurons; source coding; temporal coding; minimum energy

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APA (6th Edition):

Johnson, E. C. (2016). Minimum-error, energy-constrained source coding by sensory neurons. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/95741

Chicago Manual of Style (16th Edition):

Johnson, Erik C. “Minimum-error, energy-constrained source coding by sensory neurons.” 2016. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed November 15, 2019. http://hdl.handle.net/2142/95741.

MLA Handbook (7th Edition):

Johnson, Erik C. “Minimum-error, energy-constrained source coding by sensory neurons.” 2016. Web. 15 Nov 2019.

Vancouver:

Johnson EC. Minimum-error, energy-constrained source coding by sensory neurons. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2016. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/2142/95741.

Council of Science Editors:

Johnson EC. Minimum-error, energy-constrained source coding by sensory neurons. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2016. Available from: http://hdl.handle.net/2142/95741


University of Illinois – Urbana-Champaign

15. Zhuang, Xiaodan. Modeling audio and visual cues for real-world event detection.

Degree: PhD, 1200, 2011, University of Illinois – Urbana-Champaign

 Audio-visual event detection aims to identify semantically defined events that reveal human activities. Most previous literature focused on restricted highlight events, and depended on highly… (more)

Subjects/Keywords: hidden Markov model; Gaussian mixture model; Acoustic Event Detection; multimedia retrieval; branch and bound

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APA (6th Edition):

Zhuang, X. (2011). Modeling audio and visual cues for real-world event detection. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/24439

Chicago Manual of Style (16th Edition):

Zhuang, Xiaodan. “Modeling audio and visual cues for real-world event detection.” 2011. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed November 15, 2019. http://hdl.handle.net/2142/24439.

MLA Handbook (7th Edition):

Zhuang, Xiaodan. “Modeling audio and visual cues for real-world event detection.” 2011. Web. 15 Nov 2019.

Vancouver:

Zhuang X. Modeling audio and visual cues for real-world event detection. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2011. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/2142/24439.

Council of Science Editors:

Zhuang X. Modeling audio and visual cues for real-world event detection. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/24439


University of Illinois – Urbana-Champaign

16. Bhat, Suma P. Estimation problems in speech and natural language.

Degree: PhD, 1200, 2010, University of Illinois – Urbana-Champaign

 This dissertation is a study of two problems on estimation in the areas of natural language and speech. In the first problem we revisit the… (more)

Subjects/Keywords: Vocabulary Size Estimation; Estimation of the number of unseen events; Automatic Fluency Assessment; Variable Selection; Predictors of Oral Fluency; Click-Through Rate Prediction

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APA (6th Edition):

Bhat, S. P. (2010). Estimation problems in speech and natural language. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/16031

Chicago Manual of Style (16th Edition):

Bhat, Suma P. “Estimation problems in speech and natural language.” 2010. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed November 15, 2019. http://hdl.handle.net/2142/16031.

MLA Handbook (7th Edition):

Bhat, Suma P. “Estimation problems in speech and natural language.” 2010. Web. 15 Nov 2019.

Vancouver:

Bhat SP. Estimation problems in speech and natural language. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2010. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/2142/16031.

Council of Science Editors:

Bhat SP. Estimation problems in speech and natural language. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/16031


University of Illinois – Urbana-Champaign

17. Zhou, Xi. Joint appearance and locality image representation by Gaussianization.

Degree: PhD, 1200, 2010, University of Illinois – Urbana-Champaign

 A novel image representation is proposed in this thesis to capture both the appearance and locality information for image classification applications. First, we model the… (more)

Subjects/Keywords: image representation; hierarchical Gaussianization; discriminant attribute projection

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APA (6th Edition):

Zhou, X. (2010). Joint appearance and locality image representation by Gaussianization. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/16772

Chicago Manual of Style (16th Edition):

Zhou, Xi. “Joint appearance and locality image representation by Gaussianization.” 2010. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed November 15, 2019. http://hdl.handle.net/2142/16772.

MLA Handbook (7th Edition):

Zhou, Xi. “Joint appearance and locality image representation by Gaussianization.” 2010. Web. 15 Nov 2019.

Vancouver:

Zhou X. Joint appearance and locality image representation by Gaussianization. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2010. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/2142/16772.

Council of Science Editors:

Zhou X. Joint appearance and locality image representation by Gaussianization. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/16772


University of Illinois – Urbana-Champaign

18. Kim, Lae-Hoon. Statistical Model Based Multi-Microphone Speech Processing: Toward Overcoming Mismatch Problem.

Degree: PhD, 1200, 2010, University of Illinois – Urbana-Champaign

 In this thesis, a joint optimal method for clean speech estimation and ASR in a mismatched condition will be described with a unified speech model… (more)

Subjects/Keywords: Independent component analysis; beamforming; Expectation maximization beamforming (EMB); robust automatic speech recognition; missing feature

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APA (6th Edition):

Kim, L. (2010). Statistical Model Based Multi-Microphone Speech Processing: Toward Overcoming Mismatch Problem. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/16839

Chicago Manual of Style (16th Edition):

Kim, Lae-Hoon. “Statistical Model Based Multi-Microphone Speech Processing: Toward Overcoming Mismatch Problem.” 2010. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed November 15, 2019. http://hdl.handle.net/2142/16839.

MLA Handbook (7th Edition):

Kim, Lae-Hoon. “Statistical Model Based Multi-Microphone Speech Processing: Toward Overcoming Mismatch Problem.” 2010. Web. 15 Nov 2019.

Vancouver:

Kim L. Statistical Model Based Multi-Microphone Speech Processing: Toward Overcoming Mismatch Problem. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2010. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/2142/16839.

Council of Science Editors:

Kim L. Statistical Model Based Multi-Microphone Speech Processing: Toward Overcoming Mismatch Problem. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/16839


University of Illinois – Urbana-Champaign

19. Tang, Hao. One-vector representations of stochastic signals for pattern recognition.

Degree: PhD, 1200, 2011, University of Illinois – Urbana-Champaign

 When building a pattern recognition system, we primarily deal with stochastic signals such as speech, image, video, and so forth. Often, a stochastic signal is… (more)

Subjects/Keywords: Pattern Recognition; Stochastic Signal; One-Vector Representation; Hidden Markov Model

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APA (6th Edition):

Tang, H. (2011). One-vector representations of stochastic signals for pattern recognition. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/18595

Chicago Manual of Style (16th Edition):

Tang, Hao. “One-vector representations of stochastic signals for pattern recognition.” 2011. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed November 15, 2019. http://hdl.handle.net/2142/18595.

MLA Handbook (7th Edition):

Tang, Hao. “One-vector representations of stochastic signals for pattern recognition.” 2011. Web. 15 Nov 2019.

Vancouver:

Tang H. One-vector representations of stochastic signals for pattern recognition. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2011. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/2142/18595.

Council of Science Editors:

Tang H. One-vector representations of stochastic signals for pattern recognition. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/18595


University of Illinois – Urbana-Champaign

20. Cole, Cliston Luther. On the effects of masking of perceptual cues in hearing-impaired ears.

Degree: PhD, Electrical & Computer Engr, 2017, University of Illinois – Urbana-Champaign

 One of the goals of the Human Speech Recognition (HSR) group is to understand the strategy of the hearing-impaired (HI) ear in detecting consonants. It… (more)

Subjects/Keywords: Speech perception; Psycho-acoustic; Acoustic cues; Hearing impaired; Signal processing; Amplification strategy

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Cole, C. L. (2017). On the effects of masking of perceptual cues in hearing-impaired ears. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/98279

Chicago Manual of Style (16th Edition):

Cole, Cliston Luther. “On the effects of masking of perceptual cues in hearing-impaired ears.” 2017. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed November 15, 2019. http://hdl.handle.net/2142/98279.

MLA Handbook (7th Edition):

Cole, Cliston Luther. “On the effects of masking of perceptual cues in hearing-impaired ears.” 2017. Web. 15 Nov 2019.

Vancouver:

Cole CL. On the effects of masking of perceptual cues in hearing-impaired ears. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2017. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/2142/98279.

Council of Science Editors:

Cole CL. On the effects of masking of perceptual cues in hearing-impaired ears. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/98279

21. Wagner, William Jacob. Unsupervised learning of vocal tract sensory-motor synergies.

Degree: MS, Mechanical Engineering, 2017, University of Illinois – Urbana-Champaign

 The degrees of freedom problem is ubiquitous within motor control arising out of the redundancy inherent in motor systems and raises the question of how… (more)

Subjects/Keywords: Synergies; Speech; Vocal tract; Sensory-motor primitives; Articulatory speech synthesis

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APA (6th Edition):

Wagner, W. J. (2017). Unsupervised learning of vocal tract sensory-motor synergies. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/98429

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wagner, William Jacob. “Unsupervised learning of vocal tract sensory-motor synergies.” 2017. Thesis, University of Illinois – Urbana-Champaign. Accessed November 15, 2019. http://hdl.handle.net/2142/98429.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wagner, William Jacob. “Unsupervised learning of vocal tract sensory-motor synergies.” 2017. Web. 15 Nov 2019.

Vancouver:

Wagner WJ. Unsupervised learning of vocal tract sensory-motor synergies. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2017. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/2142/98429.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wagner WJ. Unsupervised learning of vocal tract sensory-motor synergies. [Thesis]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/98429

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

22. Niehaus, Logan. Autonomous learning of action-word semantics in a humanoid robot.

Degree: MS, 1200, 2011, University of Illinois – Urbana-Champaign

 For creation of an artificial agent that is capable of using language naturally, models that only manipulate symbols or classify speech are ineffective. The semantic… (more)

Subjects/Keywords: language acquisition; autonomous mental development; cognitive robotics; embodied cognition

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APA (6th Edition):

Niehaus, L. (2011). Autonomous learning of action-word semantics in a humanoid robot. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/24151

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Niehaus, Logan. “Autonomous learning of action-word semantics in a humanoid robot.” 2011. Thesis, University of Illinois – Urbana-Champaign. Accessed November 15, 2019. http://hdl.handle.net/2142/24151.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Niehaus, Logan. “Autonomous learning of action-word semantics in a humanoid robot.” 2011. Web. 15 Nov 2019.

Vancouver:

Niehaus L. Autonomous learning of action-word semantics in a humanoid robot. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2011. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/2142/24151.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Niehaus L. Autonomous learning of action-word semantics in a humanoid robot. [Thesis]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/24151

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

23. Silver, Aaron. Multi-dimensional pre-programmed and learned fine motor control for a humanoid robot.

Degree: MS, 1200, 2012, University of Illinois – Urbana-Champaign

 One of the biggest questions in modern electrical and computer engineering is that of computational intelligence. Can an artificially created mechanism, such as a humanoid… (more)

Subjects/Keywords: reinforcement learning; fine motor control; humanoid robot; iCub; proportional–integral–derivative (PID) control; balancing

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APA (6th Edition):

Silver, A. (2012). Multi-dimensional pre-programmed and learned fine motor control for a humanoid robot. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/34413

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Silver, Aaron. “Multi-dimensional pre-programmed and learned fine motor control for a humanoid robot.” 2012. Thesis, University of Illinois – Urbana-Champaign. Accessed November 15, 2019. http://hdl.handle.net/2142/34413.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Silver, Aaron. “Multi-dimensional pre-programmed and learned fine motor control for a humanoid robot.” 2012. Web. 15 Nov 2019.

Vancouver:

Silver A. Multi-dimensional pre-programmed and learned fine motor control for a humanoid robot. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2012. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/2142/34413.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Silver A. Multi-dimensional pre-programmed and learned fine motor control for a humanoid robot. [Thesis]. University of Illinois – Urbana-Champaign; 2012. Available from: http://hdl.handle.net/2142/34413

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

24. Wendt, Luke. Optimal adaptive control with ΘLQG.

Degree: MS, 1200, 2013, University of Illinois – Urbana-Champaign

 This thesis introduces ΘLQG, the hyper extension of the Linear Quadratic Gaussian Regulator, for solving general purpose (locally optimal) nonlinear adaptive control on multiple-input multiple-output… (more)

Subjects/Keywords: Optimal Adaptive Control; Multiple-Input Multiple-Output (MIMO); Extended Kalman Filter (EKF); Hyper-Extended Kalman Filter (EKF); Linear Quadratic Regulator (LQR); Linear Quadratic Gaussian Regulator (LQG); Hyper Extended LQG (ΘLQG); Pendulum on Cart

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APA (6th Edition):

Wendt, L. (2013). Optimal adaptive control with ΘLQG. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/44105

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wendt, Luke. “Optimal adaptive control with ΘLQG.” 2013. Thesis, University of Illinois – Urbana-Champaign. Accessed November 15, 2019. http://hdl.handle.net/2142/44105.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wendt, Luke. “Optimal adaptive control with ΘLQG.” 2013. Web. 15 Nov 2019.

Vancouver:

Wendt L. Optimal adaptive control with ΘLQG. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2013. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/2142/44105.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wendt L. Optimal adaptive control with ΘLQG. [Thesis]. University of Illinois – Urbana-Champaign; 2013. Available from: http://hdl.handle.net/2142/44105

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

25. Kamalnath, Vishnu Nath. Usage of computer vision and machine learning to solve 3D mazes.

Degree: MS, 0112, 2013, University of Illinois – Urbana-Champaign

 This thesis deals with incorporating artificial intelligence into a humanoid robot by making a cognitive model of the learning process. The goal is to “teach”… (more)

Subjects/Keywords: Artificial Intelligence; Machine Learning; Robotics; iCub; Computer Vision; Computer Science; Pattern Recognition; learning; q-learning

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APA (6th Edition):

Kamalnath, V. N. (2013). Usage of computer vision and machine learning to solve 3D mazes. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/45440

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kamalnath, Vishnu Nath. “Usage of computer vision and machine learning to solve 3D mazes.” 2013. Thesis, University of Illinois – Urbana-Champaign. Accessed November 15, 2019. http://hdl.handle.net/2142/45440.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kamalnath, Vishnu Nath. “Usage of computer vision and machine learning to solve 3D mazes.” 2013. Web. 15 Nov 2019.

Vancouver:

Kamalnath VN. Usage of computer vision and machine learning to solve 3D mazes. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2013. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/2142/45440.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kamalnath VN. Usage of computer vision and machine learning to solve 3D mazes. [Thesis]. University of Illinois – Urbana-Champaign; 2013. Available from: http://hdl.handle.net/2142/45440

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

26. Rozier, Eric. Understanding the fault-tolerance properties of large-scale storage systems.

Degree: PhD, 0112, 2012, University of Illinois – Urbana-Champaign

 Modern storage systems continue to increase in scale and complexity as they attempt to meet the increasing storage needs of our society. Additionally, increased requirements… (more)

Subjects/Keywords: storage systems; modeling; simulation; rare-events; fault-tolerance

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

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APA (6th Edition):

Rozier, E. (2012). Understanding the fault-tolerance properties of large-scale storage systems. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/29680

Chicago Manual of Style (16th Edition):

Rozier, Eric. “Understanding the fault-tolerance properties of large-scale storage systems.” 2012. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed November 15, 2019. http://hdl.handle.net/2142/29680.

MLA Handbook (7th Edition):

Rozier, Eric. “Understanding the fault-tolerance properties of large-scale storage systems.” 2012. Web. 15 Nov 2019.

Vancouver:

Rozier E. Understanding the fault-tolerance properties of large-scale storage systems. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2012. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/2142/29680.

Council of Science Editors:

Rozier E. Understanding the fault-tolerance properties of large-scale storage systems. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2012. Available from: http://hdl.handle.net/2142/29680

27. Trevino, Andrea. Techniques for understanding hearing-impaired perception of consonant cues.

Degree: PhD, 1200, 2014, University of Illinois – Urbana-Champaign

 We examine the cues used for consonant perception and the systematic behavior of normal and hearing-impaired listeners. All stimuli were presented as isolated consonant-vowel tokens,… (more)

Subjects/Keywords: Hearing Impaired; Speech; Perception; Normal Hearing; k means; Confusion Matrix; Aigram; 3D Deep Search (3dds); Auditory Training; Hearing; Hearing Aids; Consonant

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APA (6th Edition):

Trevino, A. (2014). Techniques for understanding hearing-impaired perception of consonant cues. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/46591

Chicago Manual of Style (16th Edition):

Trevino, Andrea. “Techniques for understanding hearing-impaired perception of consonant cues.” 2014. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed November 15, 2019. http://hdl.handle.net/2142/46591.

MLA Handbook (7th Edition):

Trevino, Andrea. “Techniques for understanding hearing-impaired perception of consonant cues.” 2014. Web. 15 Nov 2019.

Vancouver:

Trevino A. Techniques for understanding hearing-impaired perception of consonant cues. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2014. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/2142/46591.

Council of Science Editors:

Trevino A. Techniques for understanding hearing-impaired perception of consonant cues. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/46591

28. Kumar, Avinash. Generic camera calibration for omnifocus imaging, depth estimation and a train monitoring system.

Degree: PhD, Electrical & Computer Engr, 2015, University of Illinois – Urbana-Champaign

 Calibrating an imaging system for its geometric properties is an important step toward understanding the process of image formation and devising techniques to invert this… (more)

Subjects/Keywords: Camera Calibration; Machine Vision System

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kumar, A. (2015). Generic camera calibration for omnifocus imaging, depth estimation and a train monitoring system. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/78491

Chicago Manual of Style (16th Edition):

Kumar, Avinash. “Generic camera calibration for omnifocus imaging, depth estimation and a train monitoring system.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed November 15, 2019. http://hdl.handle.net/2142/78491.

MLA Handbook (7th Edition):

Kumar, Avinash. “Generic camera calibration for omnifocus imaging, depth estimation and a train monitoring system.” 2015. Web. 15 Nov 2019.

Vancouver:

Kumar A. Generic camera calibration for omnifocus imaging, depth estimation and a train monitoring system. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/2142/78491.

Council of Science Editors:

Kumar A. Generic camera calibration for omnifocus imaging, depth estimation and a train monitoring system. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/78491

29. Lim, Boon Pang. Computational differences between whispered and non-whispered speech.

Degree: PhD, 1200, 2011, University of Illinois – Urbana-Champaign

 Whispering is a common type of speech which is not often studied in speech technology. Perceptual and physiological studies show us that whispered speech is… (more)

Subjects/Keywords: speech recognition; whispered speech; modified rhyme test; eigenvoices; speaker adaptation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lim, B. P. (2011). Computational differences between whispered and non-whispered speech. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/24283

Chicago Manual of Style (16th Edition):

Lim, Boon Pang. “Computational differences between whispered and non-whispered speech.” 2011. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed November 15, 2019. http://hdl.handle.net/2142/24283.

MLA Handbook (7th Edition):

Lim, Boon Pang. “Computational differences between whispered and non-whispered speech.” 2011. Web. 15 Nov 2019.

Vancouver:

Lim BP. Computational differences between whispered and non-whispered speech. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2011. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/2142/24283.

Council of Science Editors:

Lim BP. Computational differences between whispered and non-whispered speech. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/24283

.