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University of Western Ontario

1. Parameswaran, Krishnan. Objective Assessment of Machine Learning Algorithms for Speech Enhancement in Hearing Aids.

Degree: 2018, University of Western Ontario

Speech enhancement in assistive hearing devices has been an area of research for many decades. Noise reduction is particularly challenging because of the wide variety of noise sources and the non-stationarity of speech and noise. Digital signal processing (DSP) algorithms deployed in modern hearing aids for noise reduction rely on certain assumptions on the statistical properties of undesired signals. This could be disadvantageous in accurate estimation of different noise types, which subsequently leads to suboptimal noise reduction. In this research, a relatively unexplored technique based on deep learning, i.e. Recurrent Neural Network (RNN), is used to perform noise reduction and dereverberation for assisting hearing-impaired listeners. For noise reduction, the performance of the deep learning model was evaluated objectively and compared with that of open Master Hearing Aid (openMHA), a conventional signal processing based framework, and a Deep Neural Network (DNN) based model. It was found that the RNN model can suppress noise and improve speech understanding better than the conventional hearing aid noise reduction algorithm and the DNN model. The same RNN model was shown to reduce reverberation components with proper training. A real-time implementation of the deep learning model is also discussed.

Subjects/Keywords: Machine learning; Deep learning; Digital signal processing; Hearing aid; Recurrent Neural Network; Noise reduction; Signal Processing

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

APA (6th Edition):

Parameswaran, K. (2018). Objective Assessment of Machine Learning Algorithms for Speech Enhancement in Hearing Aids. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/5904

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):

Parameswaran, Krishnan. “Objective Assessment of Machine Learning Algorithms for Speech Enhancement in Hearing Aids.” 2018. Thesis, University of Western Ontario. Accessed January 23, 2019. https://ir.lib.uwo.ca/etd/5904.

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

MLA Handbook (7th Edition):

Parameswaran, Krishnan. “Objective Assessment of Machine Learning Algorithms for Speech Enhancement in Hearing Aids.” 2018. Web. 23 Jan 2019.

Vancouver:

Parameswaran K. Objective Assessment of Machine Learning Algorithms for Speech Enhancement in Hearing Aids. [Internet] [Thesis]. University of Western Ontario; 2018. [cited 2019 Jan 23]. Available from: https://ir.lib.uwo.ca/etd/5904.

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

Council of Science Editors:

Parameswaran K. Objective Assessment of Machine Learning Algorithms for Speech Enhancement in Hearing Aids. [Thesis]. University of Western Ontario; 2018. Available from: https://ir.lib.uwo.ca/etd/5904

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

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