Speech Enhancement of Noisy and Reverberant Speech for Text-to-Speech

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چکیده

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Enhancement of Reverberant and Noisy Speech by Extending Its Coherence

We introduce a novel speech enhancement algorithm for removing reverberation and noise from recorded speech data. Our approach centers around using a single-channel minimum mean-square error log-spectral amplitude (MMSELSA) estimator, which applies gain coefficients in a timefrequency domain to suppress noise and reverberation. The main contribution of this paper is that the enhancement is done...

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Abstract – Multipitch tracking in real environments is critical for speech signal processing. Determining pitch in reverberant and noisy speech is a particularly challenging task. In this paper, we propose a robust algorithm for multipitch tracking in the presence of both background noise and room reverberation. An auditory front-end and a new channel selection method are utilized to extract pe...

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This paper addresses the study of the speech intelligibility enhancement. The speech model, noise sources, perceptual aspects of speech, and performance evaluation are reviewed. The intelligibility enhancement system based on spectral subtraction technique is investigated. Spectral density estimation device based on the algorithm of smoothed periodograms is analysed. Determination of the silenc...

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ژورنال

عنوان ژورنال: IEEE/ACM Transactions on Audio, Speech, and Language Processing

سال: 2018

ISSN: 2329-9290,2329-9304

DOI: 10.1109/taslp.2018.2828980