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Speech intelligibility enhancement
The Journal of the Acoustical Society of America, 1988In a communications system, consonant high frequency sounds are enhanced: the greater the high frequency content relative to the low, the more such high frequency content is boosted.
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Speech Intelligibility Enhancement by Interaural Magnification
Acta Oto-Laryngologica, 1990Hearing-impaired persons suffer from loss of speech intelligibility in noisy environments as well as from a decrease in binaural performance (e.g., interaural time and intensity discrimination). In order to improve speech intelligibility for spatially separated signal and noise sources by compensating for the reduced binaural performance, we ...
B, Kollmeier, J, Peissig
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The Journal of the Acoustical Society of America, 1997
An apparatus for enhancing speech sounds includes an input circuit for receiving speech sounds and for converting said speech into a speech signal; a rectifier for rectifying the speech signal; a first time constant circuit for applying a first time constant to the output of the rectifier; a second time constant circuit for applying a second time ...
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An apparatus for enhancing speech sounds includes an input circuit for receiving speech sounds and for converting said speech into a speech signal; a rectifier for rectifying the speech signal; a first time constant circuit for applying a first time constant to the output of the rectifier; a second time constant circuit for applying a second time ...
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Rephrasing-based speech intelligibility enhancement
Interspeech 2013, 2013Existing algorithms for improving speech intelligibility in a noisy environment generally focus on modifying the acoustic features of live, recorded or synthesized speech while preserving the phonetic composition (the message). In this paper, we present an algorithm for text-to-speech systems that operates at a higher level of abstraction, the message ...
Mengqiu Zhang +2 more
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Speech enhancement based on transient speech information
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2005., 2005The purpose of this study is to create information and signal processing algorithms to enhance the interpretation of speech in noise. An algorithm based on time-frequency analysis was employed to extract quasi-steady-state (QSS) energy from the speech signal, leaving a residual signal of predominantly transient components.
null Sungyub Yoo +7 more
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Spectral-domain speech enhancement for speech recognition
Speech Communication, 2017Abstract Speech recognition performance deteriorates in face of unknown noise. Speech enhancement offers a solution by reducing the noise in speech at runtime. However, it also introduces artificial distortion to the speech signal. In this paper, we aim at reducing the artifacts that have adverse effects on speech recognition.
Chang Huai YOU, Bin MA
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The Journal of the Acoustical Society of America, 2006
A speech enhancement system for the reduction of background noise comprises a time-to-frequency transformation unit (2) to transform frames of time-domain samples of audio signals to the frequency domain, background noise reduction means (3) to perform noise reduction in the frequency domain, and a frequency-to-time transformation unit (4) to transform
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A speech enhancement system for the reduction of background noise comprises a time-to-frequency transformation unit (2) to transform frames of time-domain samples of audio signals to the frequency domain, background noise reduction means (3) to perform noise reduction in the frequency domain, and a frequency-to-time transformation unit (4) to transform
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Template based speech enhancement of disordered speech
2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT), 2016In this paper, we have taken Electro-Larynx (EL) speech and have improved the speech quality, electro-larynx speech was improved in terms of naturalness and intelligibility by introducing variations in the F0-contour and template matching with correlation coefficient.
K A Poornima, K Inbanila
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Robust distributed speech recognition using speech enhancement
IEEE Transactions on Consumer Electronics, 2008The issue of robustness in the presence of noise is regarded as a significant bottleneck in the commercialisation of speech recognition products, particularly in mobile environments. This paper examines the use of an auditory model combined with a speech enhancement algorithm as a robust front-end for a distributed speech recognition (DSR) system ...
Ronan Flynn, Edward Jones
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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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