Name
Abstract | ||
|---|---|---|
In this paper a new frequency domain approach suitable for low-delay wideband speech coding is proposed. Working in the context of residual speech coders, the proposed technique performs a decomposihon of the DIT of the target vector, (the input speech after the subtraction of the zero input response signal), as the product of the DFT of the impulse response of the LPC synthesis filter and a so called modified residual signal. At the receiver the DFT of the target vector is reconstructed by multiplying the quantized modified residual signal by the DFT of the impulse response of the synthesis filter, the inverse DFT calculated and the resulting time domain quantized target vector filtered by the inverse synthesis filter in order to get the excitation to the LPC synthesis filter. Magnitude-phase and real-part-imaginary-part encoding of the modified residual signal has been studied and several quantizations schemes used. Specifically scalar quantization and trellis coded quantization have been used in the development of 32 kbps coders with a very high quality of the synthesized speech. A 24 kbps coder has been developed too by using vector quantization and trellis coded quantization in a magnitude-phase representation of the modified residual. |
Year | DOI | Venue |
|---|---|---|
1993 | 10.1109/ICASSP.1993.319328 | ICASSP |
Keywords | Field | DocType |
fast Fourier transforms,frequency-domain synthesis,linear predictive coding,speech coding,trellis codes,vector quantisation,24 kbit/s,32 kbit/s,DFT,LPC synthesis filter,discrete Fourier transform,frequency domain,linear predictive coding,quality,residual speech coders,scalar quantization,time-domain quantized target vector,trellis coded quantization,vector quantization,wideband speech coding | Impulse response,Speech coding,Computer science,Vector quantization,Artificial intelligence,Linear predictive coding,Frequency domain,Pattern recognition,Algorithm,Speech recognition,Fast Fourier transform,Discrete Fourier transform,Quantization (signal processing) | Conference |
Volume | ISBN | Citations |
2 | 0-7803-0946-4 | 3 |
PageRank | References | Authors |
0.79 | 4 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Victoria E. Sanchez | 1 | 3 | 0.79 |
| Jean-Pierre Adoul | 2 | 16 | 14.33 |