Improving the quality of speech in noisy environments

Blind source separation;Perceptual processing;Noise suppression;Speech processing

Parikh, Devangi Nikunj ; Electrical and Computer Engineering

University:Georgia Institute of Technology

Department:Electrical and Computer Engineering

关键词: Blind source separation;    Perceptual processing;    Noise suppression;    Speech processing;   

Others  :  https://smartech.gatech.edu/bitstream/1853/45889/1/parikh_devangi_n_201212_phd.pdf

美国|英语

来源: SMARTech Repository

【 摘 要 】

In this thesis, we are interested in processing noisy speech signals that are meant to be heard by humans, and hence we approach the noise-suppression problem from a perceptual perspective. We develop a noise-suppression paradigm that is based on a model of the human auditory system, where we process signals in a way that is natural to the human ear. Under this paradigm, we transform an audio signal in to a perceptual domain, and processes the signal in this perceptual domain. This approach allows us to reduce the background noise and the audible artifacts that are seen in traditional noise-suppression algorithms, while preserving the quality of the processed speech. We develop a single- and dual-microphone algorithm based on this perceptual paradigm, and conduct subjecting tests to show that this approach outperforms traditional noise-suppression techniques. Moreover, we investigate the cause of audible artifacts that are generated as a result of suppressing the noise in noisy signals, and introduce constraints on the noise-suppression gain such that these artifacts are reduced.