Name
Abstract | ||
|---|---|---|
A code tree generated by a stochastically populated innovations tree with a backward adaptive gain and backward adaptive synthesis filters is considered. The synthesis configuration uses a cascade of two all-pole filters: a pitch (long time delay) filter followed by a formant (short time delay) filter. Both filters are updated using backward adaptation. The formant predictor is updated using an adaptive lattice algorithm. The multipath (M, L) search algorithm is used to encode the speech. A frequency-weighted error measure is used to reduce the perceptual loudness of the quantization noise. The addition of the pitch filter gives 2-10-dB increase in segSNR (segmental signal-to-noise ratio) in the voiced segments. Subjective testing has shown that the coder attains a subjective quality equivalent to 7 b/sample log-PCM (pulse code modulation) with an encoding delay of eight samples (1 ms with an 8-kHz sampling rate) |
Year | DOI | Venue |
|---|---|---|
1991 | 10.1109/78.80962 | IEEE Transactions on Signal Processing |
Keywords | DocType | Volume |
code tree,adaptive lattice algorithm,all-pole filter,short time delay,adaptive synthesis filter,adaptive gain,formant predictor,low delay,encoding delay,pitch filter,speech coder,long time delay,stochastic processes,code generation,adaptive filters,lattices,encoding,search algorithm,speech synthesis,quantization noise,speech coding | Journal | 39 |
Issue | ISSN | Citations |
5 | 1053-587X | 18 |
PageRank | References | Authors |
2.36 | 7 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| V. Iyengar | 1 | 18 | 2.36 |
| P. Kabal | 2 | 374 | 47.49 |