Code-excited linear prediction(CELP): High-quality speech at very low bit rates
University of Göttingen · AT&T (United States)
Abstract
We describe in this paper a code-excited linear predictive coder in which the optimum innovation sequence is selected from a code book of stored sequences to optimize a given fidelity criterion. Each sample of the innovation sequence is filtered sequentially through two time-varying linear recursive filters, one with a long-delay (related to pitch period) predictor in the feedback loop and the other with a short-delay predictor (related to spectral envelope) in the feedback loop. We code speech, sampled at 8 kHz, in blocks of 5-msec duration. Each block consisting of 40 samples is produced from one of 1024 possible innovation sequences. The bit rate for the innovation sequence is thus 1/4 bit per sample. We…
Citation impact
- FWCI
- 47.59
- Percentile
- 100%
- References
- 4
Authors
2Topics & keywords
- Code-excited linear prediction
- Computer science
- Vector sum excited linear prediction
- Linear predictive coding
- Algorithm
- Code (set theory)
- Sequence (biology)
- Speech recognition
- Industry, innovation and infrastructure