Speech enhancement phd thesis

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From: Nick R.
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Added: 16.04.2021
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CELP and speech enhancement: PhD Thesis

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PhD thesis, Concordia University. Speech enhancement aims at the improvement of speech quality by using various algorithms. A speech enhancement technique can be implemented as either a time domain or a transform domain method. In the transform domain speech enhancement, the spectrum of clean speech signal is estimated through the modification of noisy speech spectrum and then it is used to obtain the enhanced speech signal in the time domain. Among the existing transform domain methods in the literature, the short-time Fourier transform STFT processing has particularly served as the basis to implement most of the frequency domain methods. In general, speech enhancement methods in the STFT domain can be categorized into the estimators of complex discrete Fourier transform DFT coefficients and the estimators of real-valued short-time spectral amplitude STSA. Due to the computational efficiency of the STSA estimation method and also its superior performance in most cases, as compared to the estimators of complex DFT coefficients, we focus mostly on the estimation of speech STSA throughout this work and aim at developing algorithms for noise reduction and reverberation suppression.
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McLoughlin, PhD CELP and speech enhancement. University of Birmingham.
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My PhD thesis proposes a combined temporal and spectral processing TSP approach for the enhancement of degraded speech. Three major sources of degradation, namely, background noise, reverberation and speech from the competing speakers are considered in this work. Temporal processing refers to the processing of excitation source information in the time domain. This involves identification and enhancement of speech-specific regions.

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