Abstract
The sections in this article are
- 1 Overview
- 2 Short-Term Spectral Amplitude Methods
- 3 Speech Modeling and Wiener Filtering
- 4 Adaptive Noise Canceling
- 5 Methods Based on Fundamental Frequency Tracking
- 6 Future Directions for Speech Enhancement
Bibliography
- 1 J. Lim (ed). Speech Enhancement. Englewood Cliffs, NJ: Prentice-Hall, 1983.
- 2 J. Deller J. Proakis J. H. L. Hansen Discrete-Time Processing of Speech Signals, MacMillan Series. New York, NY: Prentice-Hall, 1993.
- 3 D. O'Shaughnessy Enhancing speech degraded by additive noise or interfering speakers. IEEE Commun. Mag., 27 (2): 46–52, 1989.
- 4 Y. Ephraim Statistical-model-based speech enhancement systems. Proc. IEEE, 80: 1526–1555, 1992.
- 5 S. R. Quackenbush T. P. Barnwell M. A. Clements Objective Measures of Speech Quality. Englewood Cliffs, NJ: Prentice-Hall, 1988.
- 6 P. L. Chu D. G. Messerschmitt A weighted Itakura-Saito spectral distance measure. IEEE Trans. Acoust. Speech Signal Process., ASSP-30: 545–560, 1982.
- 7 F. Itakura Minimum prediction residual principle applied to speech recognition. IEEE Trans. Acoust. Speech Signal Process., 23: 67–72, 1975.
- 8 J. M. Kates M. R. Weiss A comparison of hearing-aid array-processing techniques. J. Acoust. Soc. Am., 99 (5): 3138–3148, 1996.
- 9 N. A. Whitmal J. C. Rutledge J. Cohen Reducing correlated noise in digital hearing aids. IEEE Eng. Med. Biol. Mag., 15 (5): 88–96, 1996.
- 10 A. Nakamura N. Seiyama R. Ikezawa T. Takagi E. Miyasaka Real time speech rate converting system for elderly people. In Proc. 1994 IEEE ICASSP, Vol. 2, pp. 225–228, April 1994.
- 11
B. H. Juang Speech recognition in adverse environments.
Comput. Speech Lang.
5:
275–294,
1991.
10.1016/0885-2308(91)90011-E Google Scholar
- 12 J. H. L. Hansen M. A. Clements Constrained iterative speech enhancement with application to automatic speech recognition. In Proc. 1988 IEEE ICASSP, pp. 561–564, April 1988.
- 13 J. H. L. Hansen M. Clements Constrained iterative speech enhancement with application to speech recognition. IEEE Trans. Signal Process., 39: 795–805, 1991.
- 14 Y. Gong Speech recognition in noisy environments: A survey. Speech Commun. 16: 261–291, 1995.
- 15 J. H. L. Hansen L. M. Arslan Robust feature estimation and objective quality assessment for noisy speech recognition using the credit card corpus. IEEE Trans. Speech Audio Process., 3: 169–184, 1995.
- 16 D. Sen W. H. Holmes Perceptual enhancement of CELP speech coders. Proc. 1994 IEEE ICASSP, Vol. 2, pp. 105–110, April 1994.
- 17 W. A. Harrison J. S. Lim E. Singer Adaptive noise cancellation in a fighter cockpit environment. In Proc. 1984 IEEE ICASSP, 18A.4.1–4, March 1984.
- 18 P. Darlington P. D. Wheeler G. A. Powell Adaptive noise reduction in aircraft communication systems. In Proc. 1985 IEEE ICASSP, pp. 716–719, March 1985.
- 19 J. H. L. Hansen M. A. Clements Enhancement of speech degraded by non-white additive noise. Final Technical Report submitted to Lockheed Co., No. DSPL-85-6, Georgia Institute of Technology, Atlanta, August 1985.
- 20 J. H. L. Hansen M. A. Clements Objective quality measures applied to enhanced speech. In Proc. Acoust. Soc. Amer., 110th Meeting, C11, Nashville, Tenn., Nov. 1985.
- 21 D. L. Wang J. S. Lim The unimportance of phase in speech enhancement, IEEE Trans. Acoust. Speech Signal Process. 30: 679–681, 1982.
- 22 M. R. Weiss E. Aschkenasy Computerized audio processor. Final Report, Rome Air Development Center, RADC-TR-83-109, May 1983.
- 23 S. F. Boll Suppression of noise in speech using the SABER method. In Proc. 1978 IEEE ICASSP, pp. 606–609, April 1978.
- 24 S. F. Boll Suppression of acoustic noise in speech using spectral subtraction. IEEE Trans. Acoust. Speech Signal Process., 27: 113–120, 1979.
- 25 M. Berouti R. Schwartz J. Makhoul Enhancement of speech corrupted by acoustic noise. In Proc. 1979 IEEE ICASSP, pp. 208–211, April 1979.
- 26 M. R. Weiss E. Aschkenasy T. W. Parsons Study and development of the INTEL technique for improving speech intelligibility. Nicolet Scientific Corp., Final Report NSC-FR/4023, Dec. 1974.
- 27 Y. Ephraim D. Malah Speech enhancement using a minimum mean-square error short-time spectral amplitude estimator. IEEE Trans. Acoust. Speech Signal Process., ASSP-32: 1109–1121, 1984.
- 28 O. Cappe Elimination of the musical noise phenomenon with the Ephraim and Malah noise suppressor. IEEE Trans. Speech Audio Proc., 2: 345–349, 1994.
- 29 R. J. McAulay M. L. Malpass Speech enhancement using a soft-decision noise suppression filter. IEEE Trans. Acoust. Speech Signal Process., ASSP-28: 137–145, April 1980.
- 30 J. H. L. Hansen A new speech enhancement algorithm employing acoustic endpoint detection and morphological based spectral constraints. In Proc. 1991 IEEE ICASSP, pp. 901–904, 1991.
- 31 T. L. Peterson S. T. Boll Acoustic noise suppression in the context of a perceptual model. In Proc. 1981 IEEE ICASSP, pp. 1086–1088, April 1981.
- 32 R. A. Curtis R. J. Niederjohn An investigation of several frequency-domain processing methods for enhancing the intelligibility of speech in wideband random noise. In Proc. 1978 IEEE ICASSP, pp. 602–605, April 1978.
- 33 R. D. Preuss A frequency domain noise cancellation preprocessor for narrowband speech communications systems. In Proc. 1979 IEEE ICASSP, pp. 212–215, April 1979.
- 34 C. K. Un K. Y. Choi “Improving LPC analysis of noisy speech by autocorrelation subtraction method. In Proc. 1981 IEEE ICASSP, pp. 1082–1085, April 1981.
- 35 G. Whipple Low residual noise speech enhancement utilizing time-frequency filtering. In Proc. IEEE ICASSP-94, vol. I, pp. I5–I8, 1994.
- 36 P. Lockwood J. Boudy Experiments with a nonlinear spectral subtractor (NSS), hidden Markov models and the projection, for robust speech recognition in cars. Speech Commun., 11: 215–228, 1992.
- 37 L. Arslan A. McCree V. Viswanathan New methods for adaptive noise suppression. In Proc. 1995 IEEE ICASSP, pp. 812–815, 1995.
- 38 B. George Single sensor speech enhancement using a soft-decision/variable attenuation algorithm. In Proc. 1995 IEEE ICASSP, pp. 816–819, May 1995.
- 39 D. Tsoukalas M. Paraskevas J. Mourjopoulos Speech enhancement using psychoacoustic criteria. In Proc. 1993 IEEE ICASSP, pp. 359–362, April 1993.
- 40 N. Virag Speech enhancement based on masking properties of the auditory system. In Proc. 1995 IEEE ICASSP, pp. 796–799, May 1995.
- 41 B. A. Hanson D. Y. Wong B. H. Juang Speech enhancement with harmonic synthesis. In Proc. 1983 IEEE ICASSP, pp. 24.2.1–4, April 1983.
- 42 D. G. Childers C. K. Lee Co-channel speech separation. In Proc. 1987 IEEE ICASSP, pp. 181–184, April 1987.
- 43 J. A. Naylor S. F. Boll Techniques for suppression of an interfering talker in co-channel speech. In Proc. 1987 IEEE ICASSP, pp. 205–208, April 1987.
- 44 D. Morgan E. B. George L. T. Lee S. M. Kay “Co-channel speaker separation by harmonic enhancement and suppression,” IEEE Trans. Speech Audio Process., 5 (5): 407–424, 1997.
- 45 J. S. Lim A. V. Oppenheim All-pole modeling of degraded speech. IEEE Trans. Acoust. Speech Signal Process., 26: 197–210, 1978.
- 46 J. H. L. Hansen M. A. Clements Iterative speech enhancement with spectral constraints. In Proc. 1987 IEEE ICASSP, pp. 189–192, April 1987.
- 47 B. R. Musicus J. S. Lim Maximum likelihood parameter estimation on noisy data. In Proc. 1979 IEEE ICASSP, pp. 224–227, April 1979.
- 48 J. S. Lim Two-Dimensional Signal and Image Processing. Englewood Cliffs, NJ: Prentice-Hall, 1990.
- 49 A. P. Dempster N. M. Laird D. B. Rubin Maximum likelihood from incomplete data via the EM algorithm. Ann. R. Stat. Soc., pp. 1–38, Dec. 1977.
- 50 M. Feder A. Oppenheim E. Weinstein Methods for noise cancellation based on the EM algorithm. In Proc. 1987 IEEE ICASSP, pp. 201–204, April 1987.
- 51 M. Feder A. Oppenheim E. Weinstein Maximum-likelihood noise cancellation in microphones using estimate-maximize algorithm. IEEE Trans. Acoust. Speech Signal Process., ASSP-37: 1846–1856, 1989.
- 52 B. R. Musicus An iterative technique for maximum likelihood parameter estimation on noisy data. S. M. thesis, MIT, Cambridge, Mass., June 1979.
- 53 K. K. Paliwal A. Basu A speech enhancement method based on Kalman filtering. In Proc. 1987 IEEE ICASSP, pp. 177–180, April 1987.
- 54 J. D. Gibson B. Koo Filtering of colored noise for speech enhancement and coding. IEEE Trans. Signal Process., 39: 1732–1742, 1991.
- 55 S. Nandkumar J. H. L. Hansen Dual-channel speech enhancement with auditory spectrum based constraints. In Proc. 1992 IEEE ICASSP, pp. 297–300, March 1992.
- 56 S. Nandkumar J. H. L. Hansen Dual-channel iterative speech enhancement with constraints based on an auditory spectrum, IEEE Trans. Speech Audio Process., 3: 22–34, 1995.
- 57 J. H. L. Hansen S. Nandkumar Robust estimation of speech in noisy backgrounds based on aspects of the auditory process. J. Acoust. Soc. Am., 97 (7): 3833–3849, 1995.
- 58 D. O'Shaughnessy Speech enhancement using vector quanitation and a formant distance measure. In Proc. 1988 IEEE ICASSP, pp. 549–552, May 1988.
- 59 J. D. Gibson T. R. Fisher B. Koo Estimation and vector quantization of noisy speech. In Proc. 1988 IEEE ICASSP, pp. 541–544, May 1988.
- 60 Y. Ephraim D. Malah B. H. Juang On the application of hidden Markov models for enhancing noisy speech. In Proc. 1988 IEEE ICASSP, pp. 533–536, May 1988.
- 61 Y. Ephraim D. Malah B. H. Juang Speech enhancement based upon hidden Markov modeling. In Proc. 1989 IEEE ICASSP, pp. 353–356, May 1989.
- 62 J. H. L. Hansen L. Arslan Markov model based phoneme class partitioning for improved constrained iterative speech enhancement. IEEE Trans. Speech Audio Process., 3 (1): 98–104, Jan. 1995.
- 63 B. Widrow J. R. Grover J. M. McCool J. Kaunitz C. S. Williams R. H. Hearn J. R. Zeidler E. Dong R. C. Goodlin Adaptive noise canceling: Principles and applications. Proc. IEEE, 63: 1692–1716, 1975.
- 64 J. M. McCool et al. Adaptive line enhancer, U.S. Patent No. 4,238,746, December 9, 1980.
- 65 J. M. McCool et al. An adaptive detector, U.S. Patent No. 4,243,935, January 6, 1981.
- 66 M. M. Sondhi An adaptive echo canceller. Bell Syst. Tech. J., 46: 497–511, 1967.
- 67 J. L. Kelly R. F. Logan Self-adaptive echo canceller, U.S. Patent No. 3,500,000, March 10, 1970.
- 68 M. M. Sondhi Closed loop adaptive echo canceller using generalized filter networks, U.S. Patent No. 3,4999,999, March 10, 1970.
- 69 S. Haykin Adaptive Filter Theory, 2nd. ed., Englewood Cliffs, NJ: Prentice-Hall, 1996.
- 70 D. G. Messerschmitt Adaptive Filters. Norwell, MA: Kluwer, 1984.
- 71 B. Widrow M. E. Hoff Adaptive switching circuits. In IRE WESCON Convention Records, pp. 96–104, 1960.
- 72 B. Widrow P. Mantey L. Griffiths B. Goode Adaptive antenna systems. Proc. IEEE, 55: 2143–2159, 1967.
- 73 B. Widrow P. Mantey L. Griffiths B. Goode Adaptive filters. In R. Kalman and N. DeClaris (eds.), Aspects of Network and System Theory. New York: Rinehart and Winston 1971, pp. 563–587.
- 74 B. Widrow S. D. Sterns Adaptive Signal Processing. Englewood Cliffs, NJ: Prentice-Hall, 1985.
- 75 S. F. Boll D. C. Pulsipher Suppression of acoustic noise in speech using two microphone adaptive noise cancellation. IEEE Trans. Acoust. Speech Signal Process., 28: 751–753, 1980.
- 76 B. Widrow J. M. McCool M. G. Larimore C. R. Johnson, Jr. Stationary and nonstationary learning characteristics of the LMS adaptive filter,” Proc. IEEE, 64: 1151–1162, 1976.
- 77 L. J. Griffiths An adaptive lattice structure for noise-canceling applications. In Proc. 1978 IEEE ICASSP, pp. 87–90, 1978.
- 78 W. A. Harrison J. S. Lim E. Singer A new application of adaptive noise cancellation. IEEE Trans. Acoust., Speech, Signal Process., 34: 21–27, 1986.
- 79 G. A. Powell P. Darlington P. D. Wheeler Practical adaptive noise reduction in the aircraft cockpit environment. In Proc. 1987 IEEE ICASSP, pp. 173–176, April 1987.
- 80 J. J. Rodriguez J. S. Lim E. Singer Adaptive noise reduction in aircraft communication systems. In Proc. 1987 IEEE ICASSP, pp.169–172, April 1987.
- 81 M. R. Sambur Adaptive noise canceling for speech signals. IEEE Trans. Acoust. Speech Signal Process., 26: 419–423, 1978.
- 82 M. R. Sambur LMS adaptive filtering for enhancing the quality of noisy speech. In Proc. 1978 IEEE ICASSP, pp. 610–613, April 1978.
- 83 L. W. Varner T. A. Miller T. E. Eger A simple adaptive filtering technique for speech enhancement. In Proc. 1983 IEEE ICASSP, pp. 24.3.1–4, April 1983.
- 84 J. W. Kim C. K. Un Enhancement of noisy speech by forward/backward adaptive digital fitlering. In Proc. 1986 IEEE ICASSP, pp. 89–92, April 1986.
- 85 J. S. Lim A. V. Oppenheim Enhancement and bandwidth compression of noisy speech. Proc. IEEE, 67: 1586–1604, 1979.
- 86 D. Malah R. V. Cox Time-domain algorithms for harmonic bandwidth reduction and time scaling of speech signals. IEEE Trans. Acoust. Speech Signal Process., 27: 121–133, 1979.
- 87 D. Malah R. V. Cox A generalized comb filtering technique for speech enhancement. In Proc. 1982 IEEE ICASSP, pp. 160–163, 1982.
- 88 R. V. Cox D. Malah A technique for perceptually reducing periodically structured noise in speech. In Proc. 1981 IEEE ICASSP, pp. 1089–1092, April 1981.
- 89 Y. M. Perlmutter L. D. Braida R. H. Frazier A. V. Oppenheim Evaluation of a speech enhancement system. In Proc. 1977 IEEE ICASSP, pp. 212–215, May 1977.
- 90 J. S. Lim A. V. Oppenheim L. D. Braida “Evaluation of an adaptive comb filtering method for evaluating speech degraded by white noise addition. IEEE Trans. Acoust. Speech Signal Process., ASSP-26: 354–358, 1978.
- 91 Y. M. Cheng D. O'Shaughnessy Speech enhancement based conceptually on auditory evidence. IEEE Trans. Signal Process., 39: 1943–1954, 1991.
- 92 D. E. Tsoukalas J. Mourjopoulos G. Kokkinakis Speech enhancement based on audible noise suppression. IEEE Trans. Speech Audio Process., 5: 497–514, 1997.
- 93 J. H. L. Hansen Analysis and compensation of stressed and noisy speech with application to robust automatic recognition. Ph.D. thesis, Georgia Institute of Technology, July 1988.
- 94 S. F. Boll Adaptive noise canceling in speech using the short-time transform. In Proc. 1980 IEEE ICASSP, pp. 692–695, April 1980.
- 95 A. V. Oppenheim et al. Single-sensor active noise cancellation, IEEE Trans. Speech Audio Process, 2 (2): 285–290, April 1994.
- 96 K. C. Zangi A new two-sensor active noise cancellation algorithm, In Proc. 1993 IEEE ICASSP, pp. II-351–354, April 1993.
- 97 S. J. Elliott P. A. Nelson Active noise control, IEEE Signal Proc. Mag., 10 (4): 12–35, Oct. 1993.
- 98 H. Sheikhzadeh R. L. Brennan H. Sameti Real-time implementation of HMM-based MMSE algorithm for speech enhancement in hearing aid applications, Proc. 1995 IEEE ICASSP, 808–811, May 1995.
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Wiley Encyclopedia of Electrical and Electronics Engineering
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