Discrete-time signal processing
Discrete-time signal processing
Ten lectures on wavelets
Fundamentals of speech recognition
Fundamentals of speech recognition
IEEE Spectrum
IEEE Computational Science & Engineering
Speech compression with cosine and wavelet packet near-best bases
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 01
A new approach in wavelet based speech compression
MAMECTIS'08 Proceedings of the 10th WSEAS international conference on Mathematical methods, computational techniques and intelligent systems
Theoretical equivalency and practical advantages of wavelet based paradigms in signal processing
NEHIPISIC'11 Proceeding of 10th WSEAS international conference on electronics, hardware, wireless and optical communications, and 10th WSEAS international conference on signal processing, robotics and automation, and 3rd WSEAS international conference on nanotechnology, and 2nd WSEAS international conference on Plasma-fusion-nuclear physics
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In this paper, various speech processing techniques in time, time-frequency and timescale domains for the purposes of recognition and compression are displayed. The examination of these representations in a variety of work that have been accomplished in that direction is included. In particular, we emphasize the advantages of Wavelet Transforms in recognizing and compressing speech signals.