Speech enhancement based conceptually on auditory evidence

A new idea, enhancing speech based on auditory evidence, is explored for the problem of enhancing speech degraded by stationary and nonstationary additive white noise. Distinguishing different objectives for heavy and light noise interference, two related algorithms are developed. For speech degraded by heavy noise, the improvement in signal-to-noise ratio (SNR) is as high as 12 dB; for lightly noisy speech, the improvement is modest and decreases as the SNR of the noisy speech increases. Quantizing noise is used to assess the capacity for reducing nonstationary noise using these algorithms; a significant reduction of such noise and an improvement in speech quality are achieved. The advantages of the proposed algorithms for speech enhancement include no need for prior knowledge of the noise and only a modest computational requirement. >

[1]  T. Houtgast.  Psychophysical evidence for lateral inhibition in hearing. , 1972, The Journal of the Acoustical Society of America.

[2]  E. G. Karnickaya,et al.  Auditory Processing of Steady-state Vowels , 1975 .

[3]  B. Widrow,et al.  Adaptive noise cancelling: Principles and applications , 1975 .

[4]  Jouji SUZUKI.  Speech processing by splicing of autocorrelation function , 1976, ICASSP.

[5]  A. Gray,et al.  Distance measures for speech processing , 1976 .

[6]  Alan V. Oppenheim,et al.  Enhancement of speech by adaptive filtering , 1976, ICASSP.

[7]  Jae Lim,et al.  Evaluation of a correlation subtraction method for enhancing speech degraded by additive white noise , 1978 .

[8]  Alan V. Oppenheim,et al.  Evaluation of an adaptive comb filtering method for enhancing speech degraded by white noise addition , 1978 .

[9]  M. Sambur,et al.  Adaptive noise canceling for speech signals , 1978 .

[10]  S. Boll,et al.  Suppression of acoustic noise in speech using spectral subtraction , 1979 .

[11]  David L. Soldan,et al.  Noise suppression methods for speech applications , 1983, ICASSP.

[12]  B. Moore,et al.  Suggested formulae for calculating auditory-filter bandwidths and excitation patterns. , 1983, The Journal of the Acoustical Society of America.

[13]  Stephanie Seneff,et al.  Pitch and spectral analysis of speech based on an auditory synchrony model , 1985 .

[14]  S. Shamma.  Speech processing in the auditory system. II: Lateral inhibition and the central processing of speech evoked activity in the auditory nerve. , 1985, The Journal of the Acoustical Society of America.

[15]  Jong Uk Kim,et al.  Enhancement of noisy speech by forward/Backward adaptive digital filtering , 1986, ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing.

[16]  D. O'Shaughnessy,et al.  Speech enhancement using vector quantization and a formant distance measure , 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

[17]  Oded Ghitza,et al.  Auditory neural feedback as a basis for speech processing , 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

[18]  Alex Waibel,et al.  Noise reduction using connectionist models , 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

[19]  Biing-Hwang Juang,et al.  The short-time modified coherence representation and noisy speech recognition , 1989, IEEE Trans. Acoust. Speech Signal Process..

[20]  A M Simpson,et al.  Spectral enhancement to improve the intelligibility of speech in noise for hearing-impaired listeners. , 1990, Acta oto-laryngologica. Supplementum.