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Speech and Audio Signal Processing: Processing and Perception of Speech and MusicJuly 1999
- Authors:
- Ben Gold,
- Nelson Morgan
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Abstract
From the Publisher:
Speech and Audio Signal Processing provides the most current and comprehensive coverage of speech and audio signal processing available today. These topics include everything from basic foundation material on digital signal processing, pattern recognition acoustics, and hearing to material of historical significance not found anywhere else. The text also contains a range of applications of the technology, with strong focus on speech recognition and coding.
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- Li W, Takeda K and Itakura F (2007). Robust in-car speech recognition based on nonlinear multiple regressions, EURASIP Journal on Advances in Signal Processing, 2007:1, (5-5), Online publication date: 1-Jan-2007.
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- Reilly R (2006). An overcomplete signal basis approach to nonlinear time-tone analysis with application to audio and speech processing, EURASIP Journal on Advances in Signal Processing, 2006, (106-106), Online publication date: 1-Jan-2006.
- Bach F and Jordan M (2006). Learning Spectral Clustering, With Application To Speech Separation, The Journal of Machine Learning Research, 7, (1963-2001), Online publication date: 1-Dec-2006.
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- Kornagel U (2006). Techniques for artificial bandwidth extension of telephone speech, Signal Processing, 86:6, (1296-1306), Online publication date: 1-Jun-2006.
- Laxman S, Sastry P and Unnikrishnan K (2005). Discovering Frequent Episodes and Learning Hidden Markov Models, IEEE Transactions on Knowledge and Data Engineering, 17:11, (1505-1517), Online publication date: 1-Nov-2005.
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- Chetouani M, Hussain A, Gas B and Zarader J New sub-band processing framework using non-linear predictive models for speech feature extraction Proceedings of the 3rd international conference on Non-Linear Analyses and Algorithms for Speech Processing, (284-290)
- Reyes-Galaviz O, Verduzco A, Arch-Tirado E and Reyes-García C Analysis of an infant cry recognizer for the early identification of pathologies Nonlinear Speech Modeling and Applications, (404-409)
- Zhirkov A, Kortchagine D, Lukin A, Krylov A and Bayakovskii Y (2019). Graphic Representation Method and Neural Network Recognition of Time-Frequency Vectors of Speech Information, Programming and Computing Software, 29:4, (210-218), Online publication date: 1-Jul-2003.
- Kim J, Paek H, Chung C, Yim W and Lee S The merging algorithm for an extraction of valid speech-sounds Proceedings of the 2003 international conference on Computational science and its applications: PartII, (599-606)
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- Lee J, Lee T, Jung H and Lee S (2019). On the Efficient Speech Feature Extraction Based on Independent Component Analysis, Neural Processing Letters, 15:3, (235-245), Online publication date: 1-Jun-2002.
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