Practical approaches to speech coding
Practical approaches to speech coding
Numerical recipes in C: the art of scientific computing
Numerical recipes in C: the art of scientific computing
Ten lectures on wavelets
Wavelets and subband coding
Digital Coding of Waveforms: Principles and Applications to Speech and Video
Digital Coding of Waveforms: Principles and Applications to Speech and Video
Lossless coding of MPEG-1 Layer III encoded audio streams
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
IEEE Transactions on Signal Processing
Performance evaluation of a wavelet-based pitch detection scheme
International Journal of Speech Technology
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We developed a real-time wideband speech codec adopting a wavelet packet based methodology. The transform domain coefficients were first quantized by means of a mid-tread uniform quantizer and then encoded with an arithmetic coding. In the first step the wavelet coefficients were quantized by using a psycho-acoustic model. The second step was carried out by adapting the probability model of the quantized coefficients frame by frame by means of a competitive neural network. The neural network was trained on the TIMIT corpus and his weights updated in real-time during the compression in order to model better the speech characteristics of the current speaker. The coding/decoding algorithm was first written in C and then optimised on the TMS320C6000 DSP platform.