Title :
Wide band sub-band speech coding using nonlinear prediction
Author :
Faúndez-Zanuy, Marcos
Author_Institution :
Escola Universitaria Politecnica de Mataro, Univ. Politecnica de Catalunya, Barcelona, Spain
Abstract :
We compare a wide band sub-band speech coder using ADPCM schemes with linear prediction against the same scheme with nonlinear prediction based on multi-layer perceptrons. Exhaustive results are presented in each band, and the full signal. Our proposed scheme with non-linear neural net prediction outperforms the linear scheme up to 2 dB in SEGSNR. In addition, we propose a simple method based on a non-linearity in order to obtain a synthetic wide band signal from a narrow band signal.
Keywords :
adaptive modulation; data compression; differential pulse code modulation; multilayer perceptrons; prediction theory; speech coding; ADPCM; QMF filters; SEGSNR; compression standards; linear prediction; multilayer perceptrons; narrowband signal; nonlinear neural net prediction; nonlinear prediction; nonlinear speech processing; quantization bits; sampling rate; synthetic HF band generation; synthetic high frequency band generation; synthetic wideband signal; wide-band audio signals; wide-band speech signals; wideband sub-band speech coding; Bandwidth; Decoding; Finite impulse response filter; Frequency response; Mirrors; Neural networks; Quantization; Sampling methods; Speech coding; Wideband;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
Print_ISBN :
0-7803-7663-3
DOI :
10.1109/ICASSP.2003.1202324
