Name
Abstract | ||
|---|---|---|
The multigrams allow us to split a string of symbols into a stream of variable length sequences. The direct application of this method to vector-quantized speech spectra fails, we develop an extension of the method called modified multigrams or multigrams with distance. The algorithm for modified multigram dictionary training as well as experimental results are presented. We found a significant improvement of rate/distortion ratio in comparison to vector quantization with small codebooks. For precise spectrum representation, this method is less suitable and we see its application rather in speech segmentation or in very low bit rate coding |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1109/ICASSP.1997.596195 | Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference |
Keywords | Field | DocType |
sequences,signal representation,spectral analysis,speech coding,algorithm,application,coding,modified multigram dictionary training,multigrams with distance,rate/distortion ratio,speech segmentation,speech spectrum representation,variable length sequences,vector-quantized speech spectra,very low bit rate coding | Speech spectrum,Speech coding,Pattern recognition,Computer science,Coding (social sciences),Low bit rate coding,Distortion ratio,Speech recognition,Vector quantization,Artificial intelligence,Harmonic Vector Excitation Coding,Speech segmentation | Conference |
Volume | ISSN | ISBN |
2 | 1520-6149 | 0-8186-7919-0 |
Citations | PageRank | References |
1 | 0.34 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jan Cernocký | 1 | 1273 | 135.94 |
| Geneviève Baudoin | 2 | 138 | 19.08 |
| Chollet, G. | 3 | 34 | 20.93 |