Abstract
Two speech compression systems based on codebooks of inverse filters produced by off-line linear predictive coding (LPC) and vector quantization techniques are considered. The first system is a pitch excited vocoder that is a variation on a speech coding system based upon vector quantization. The encoder selects an LPC inverse filter from a finite codebook that best ″matches″ an observed frame of sampled speech. This filter is in turn used to determine the voicing and digitized pitch information. Unlike LPC systems, the digitization is performed in a single step on the data rather than separate modeling and digitization steps. The second system is a tree encoding system that uses the filter selected by an inverse filter matching vocoder to ″color″ a tree that is then searched for a minimum distortion path for the original sampled speech waveform. The two systems are described, simulated, and compared with other similar systems.
| Original language | English |
|---|---|
| Pages (from-to) | 711-720 |
| Number of pages | 10 |
| Journal | IEEE Transactions on Communications |
| Volume | COM-30 |
| Issue number | 4 |
| Publication status | Published - 1982 Apr |
| Externally published | Yes |
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ASJC Scopus subject areas
- Engineering(all)
Cite this
VOICE CODING AND TREE ENCODING SPEECH COMPRESSION SYSTEMS BASED UPON INVERSE FILTER MATCHING. / Matsuyama, Yasuo; Gray, Robert M.
In: IEEE Transactions on Communications, Vol. COM-30, No. 4, 04.1982, p. 711-720.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - VOICE CODING AND TREE ENCODING SPEECH COMPRESSION SYSTEMS BASED UPON INVERSE FILTER MATCHING.
AU - Matsuyama, Yasuo
AU - Gray, Robert M.
PY - 1982/4
Y1 - 1982/4
N2 - Two speech compression systems based on codebooks of inverse filters produced by off-line linear predictive coding (LPC) and vector quantization techniques are considered. The first system is a pitch excited vocoder that is a variation on a speech coding system based upon vector quantization. The encoder selects an LPC inverse filter from a finite codebook that best ″matches″ an observed frame of sampled speech. This filter is in turn used to determine the voicing and digitized pitch information. Unlike LPC systems, the digitization is performed in a single step on the data rather than separate modeling and digitization steps. The second system is a tree encoding system that uses the filter selected by an inverse filter matching vocoder to ″color″ a tree that is then searched for a minimum distortion path for the original sampled speech waveform. The two systems are described, simulated, and compared with other similar systems.
AB - Two speech compression systems based on codebooks of inverse filters produced by off-line linear predictive coding (LPC) and vector quantization techniques are considered. The first system is a pitch excited vocoder that is a variation on a speech coding system based upon vector quantization. The encoder selects an LPC inverse filter from a finite codebook that best ″matches″ an observed frame of sampled speech. This filter is in turn used to determine the voicing and digitized pitch information. Unlike LPC systems, the digitization is performed in a single step on the data rather than separate modeling and digitization steps. The second system is a tree encoding system that uses the filter selected by an inverse filter matching vocoder to ″color″ a tree that is then searched for a minimum distortion path for the original sampled speech waveform. The two systems are described, simulated, and compared with other similar systems.
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M3 - Article
AN - SCOPUS:0020114554
VL - COM-30
SP - 711
EP - 720
JO - IEEE Transactions on Communications
JF - IEEE Transactions on Communications
SN - 0096-1965
IS - 4
ER -