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Fundamentals of speech recognition
An introduction to wavelets
Wavelets and subband coding
IEEE Computational Science & Engineering
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
Various speech processing techniques for multimedia applications
ISPRA'10 Proceedings of the 9th WSEAS international conference on Signal processing, robotics and automation
A comprehensive approach for speech related multimedia applications
WSEAS Transactions on Signal Processing
Radial basis functions with wavelet packets for recognizing Arabic speech
CSECS '10 Proceedings of the 9th WSEAS international conference on Circuits, systems, electronics, control & signal processing
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This paper presents a rundown of the significance of utilizing wavelets as effective tools in processing speech signals for common multimedia applications in general, and for recognition and compression in particular. Theoretically and practically, wavelets have proved to be effective and competitive. First, we prove mathematically the equivalency of various linear time-invariant methods with that of the Wavelet Transform (WT) by considering the input of a general sinusoidal signal. The utilization of the Continuous Wavelet Transform (CWT) in processing and analysis of speech is then presented along with explanations of how the human ear can be thought of as a natural wavelet transformer of speech. This generates a variety of approaches for applying the (CWT) to many paradigms analysing speech, sound and music. For perception, the flexibility of implementation of this transform, allows the construction of numerous scales and we include two of them. Results for speech recognition and speech compression are then included.