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IEEE/ACM Transactions on Audio Speech and Language Processing, 2021
For challenging acoustic scenarios as low signal-to-noise ratios, current speech enhancement systems usually suffer from performance bottleneck in extracting the target speech from the mixtures within one step.
Andong Li +4 more
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For challenging acoustic scenarios as low signal-to-noise ratios, current speech enhancement systems usually suffer from performance bottleneck in extracting the target speech from the mixtures within one step.
Andong Li +4 more
semanticscholar +1 more source
Speech enhancement using a minimum mean square error short-time spectral amplitude estimator
, 1984Absstroct-This paper focuses on the class of speech enhancement systems which capitalize on the major importance of the short-time spectral amplitude (STSA) of the speech signal in its perception. A system which utilizes a minimum mean-square error (MMSE)
Ephraim
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Improvement of Speech Residuals for Speech Enhancement
2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2019In this work we present two novel methods to improve speech residuals for speech enhancement. A deep neural network is used to enhance residual signals in the cepstral domain, thereby exceeding a former cepstral excitation manipulation (CEM) approach in different ways: One variant provides higher speech component quality by 0.1 PESQ points in low-SNR ...
Samy Elshamy, Tim Fingscheidt
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Compressive speech enhancement
Speech Communication, 2013This paper presents an alternative approach to speech enhancement by using compressed sensing (CS). CS is a new sampling theory, which states that sparse signals can be reconstructed from far fewer measurements than the Nyquist sampling. As such, CS can be exploited to reconstruct only the sparse components (e.g., speech) from the mixture of sparse and
Low, S., Pham, DucSon, Venkatesh, S.
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SE-Conformer: Time-Domain Speech Enhancement Using Conformer
Interspeech, 2021Convolution-augmented transformer (conformer) has recently shown competitive results in speech-domain applications, such as automatic speech recognition, continuous speech separation, and sound event detection.
Eesung Kim, Hyeji Seo
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Application to Speech Enhancement
2021The concept of linear difference beamforming can be applied to the general filtering technique for speech enhancement. This is the purpose of this chapter. First, we explain the signal model and show how linear difference filtering works in noise reduction. Second, we derive the most important performance measures.
Jingdong Chen +2 more
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Speech enhancement as a realisation issue
Signal Processing, 2002When enhancing a speech signal using a single microphone system, various approaches based on an autoregressive speech model are referenced in the literature. Using a Kalman filter, they operate in two steps: (1) the noise variances and the autoregressive parameters are estimated, (2) the speech signal is retrieved using standard Kalman filtering ...
Grivel, Eric +2 more
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Enhancing the Intelligibility of Speech in Speech Noise
2005A brief introduction to a proposed project on integrating different source separation techniques to improve intelligibility resulting from speech separation from interfering speech.
Daniel P. W. Ellis +5 more
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The Journal of the Acoustical Society of America, 1988
A method for processing a voiced speech waveform when the periods and amplitudes thereof may be non-uniform so that the intelligibility thereof is adversely affected. In accordance with such method successive portions of the speech waveform are processed so that each portion has a substantially uniform period and the intelligibility thereof is enhanced.
Julian J. Bussgang, James M. Kates
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A method for processing a voiced speech waveform when the periods and amplitudes thereof may be non-uniform so that the intelligibility thereof is adversely affected. In accordance with such method successive portions of the speech waveform are processed so that each portion has a substantially uniform period and the intelligibility thereof is enhanced.
Julian J. Bussgang, James M. Kates
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Musician Enhancement for Speech-In-Noise
Ear & Hearing, 2009To investigate the effect of musical training on speech-in-noise (SIN) performance, a complex task requiring the integration of working memory and stream segregation as well as the detection of time-varying perceptual cues. Previous research has indicated that, in combination with lifelong experience with musical stream segregation, musicians have ...
Nina Kraus +3 more
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