Data processing: speech signal processing – linguistics – language – Speech signal processing – For storage or transmission
Reexamination Certificate
2005-10-25
2005-10-25
Chawan, Vijay (Department: 2654)
Data processing: speech signal processing, linguistics, language
Speech signal processing
For storage or transmission
C704S227000, C704S233000, C704S240000, C704S234000, C379S406010
Reexamination Certificate
active
06959276
ABSTRACT:
A method and apparatus are provided for identifying a noise environment for a frame of an input signal based on at least one feature for that frame. Under one embodiment, the noise environment is identified by determining the probability of each of a set of possible noise environments. For some embodiments, the probabilities of the noise environments for past frames are included in the identification of an environment for a current frame. In one particular embodiment, a count is generated for each environment that indicates the number of past frames for which the environment was the most probable environment. The environment with the highest count is then selected as the environment for the current frame.
REFERENCES:
patent: 5432859 (1995-07-01), Yang et al.
patent: 5604839 (1997-02-01), Acero et al.
patent: 5680508 (1997-10-01), Liu
patent: 5706394 (1998-01-01), Wynn
patent: 5708754 (1998-01-01), Wynn
patent: 5781883 (1998-07-01), Wynn
patent: 5794194 (1998-08-01), Takebayashi et al.
patent: 5892853 (1999-04-01), Hirani et al.
patent: 5924065 (1999-07-01), Eberman et al.
patent: 6009391 (1999-12-01), Asghar et al.
patent: 6070137 (2000-05-01), Bloebaum et al.
patent: 6163608 (2000-12-01), Romesburg et al.
patent: 6289309 (2001-09-01), deVries
patent: 6445801 (2002-09-01), Pastor et al.
patent: 6711536 (2004-03-01), Rees
patent: 2002/0082829 (2002-06-01), Jiang et al.
patent: 2004/0158465 (2004-08-01), Rees
patent: 1 199 712 (2001-10-01), None
patent: 09-258768 (1997-10-01), None
patent: 2003-1777781 (2003-06-01), None
patent: WO 9708684 (1997-03-01), None
El-Maleh et al Jun. 1999 (“An Improved Background Noise Coding Mode For Variable Rate Speech Coders”, Workshop on Speech Coding Proceedings, Jun. 1999).
El-Maleh et al Mar. 1999 (“Frame Level Noise Classification In Mobile Environments”, International Conference on Acoustics, Speec and Signal Processing, Mar. 1999).
Thiemann et al (“Low Distortion Acoustic Noise Suppression Using A Perceptual Model For Speech Signals”, IEEE Workshop Proceedings Speech Coding, Oct. 2002).
Berstein et al (“An Hypothesized Wiener Filtering Approach To Noisy Speech Recognition”, International Conference on Acoustics, Speech, and Signal Processing, May 1991).
Hansen et al (“Constrained Iterative Speech Enhancement With Application To Automatic Speech Recognition”, International Conference on Acoustics, Speech, and Signal Processing, Apr. 1988).
Gurbuz et al (“Multi-Stream Product Modal Audio-Visual Integration Strategy For Robust Adaptive Speech Recognition”, International Conference on Acoustics, Speech, and Signal Processing, May 2002).
Freeman et al (“The Voice Activity Detector For The Pan-European Digital Cellular Mobile Telephone Service”, International Conference on Acoustics, Speech, and Signal Processing, May 1989).
Treurniet (“Noise Independent Speech Recognition For A Variety Of Noise Types”, International Conference on Acoustics, Speech, and Signal Processing, Apr. 1994).
McAulay et al (“Speech Enhancement Using A Soft-Decision Noise Suppression Filter”, IEEE Transactions on Acoustics, Speech, and Signal Processing, Apr. 1980) enhancing speech in an additive acoustic noise environment.
Anastasakos, T., et al., “A Compact Model for Speaker-Adaptive Training,” BBN Systems and Technologies, pp. 1137-1140 (undated).
Boll, S. F., “Suppression of Acoustic Noise in Speech Using Spectral Subtraction,” IEEE Transactions on Acoustics, Speech and Signal Processing, vol. ASSP-27, No. 2, pp. 113-120 (Apr. 1979).
Lockwood, P. et al., “Experiments With a Nonlinear Spectral Subtractor (NSS), Hidden Markov Models and the Projection; for Robust Speech Recognition in Cars,” Speech Communication 11, pp. 215-228 (1992).
Boll, S.F., “A Spectral Subtraction Algorithm for Suppression of Acoustic Noise in Speech,” IEEE International Conference on Acoustics, Speech & Signal Processing, pp. 200-203 (Apr. 2-4, 1979).
Berouti, M. et al., “Enhancement of Speech Corrupted by Acoustic Noise,” IEEE International Conference on Acoustics, Speech & Signal Processing, pp. 208-211 (Apr. 2-4, 1979).
Acero, A., “Acoustical and Environmental Robustness in Automatic Speech Recognition,” Department of Electrical and Computer Engineering, Carnegie Mellon University, pp. 1-141 (Sep. 13, 1990).
Moreno, P., “Speech Recognition in Noisy Environments,” Department of Electrical and Computer Engineering, Carnegie Mellon University, pp. 1-130 (Apr. 22, 1996).
U.S. Appl. No. 09/688,764, filed Oct. 16, 2000, Deng.
U.S. Appl. No. 09/688,950, filed Oct. 16, 2000, Deng.
Acero Alejandro
Deng Li
Droppo James G.
Chawan Vijay
Magee Theodore M.
Westman Champlin & Kelly P.A.
LandOfFree
Including the category of environmental noise when... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Including the category of environmental noise when..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Including the category of environmental noise when... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3459534