articleMar 23, 2005Closed access

Code-excited linear prediction(CELP): High-quality speech at very low bit rates

University of Göttingen · AT&T (United States)

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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…

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Topics & keywords

Keywords
  • Code-excited linear prediction
  • Computer science
  • Vector sum excited linear prediction
  • Linear predictive coding
  • Algorithm
  • Code (set theory)
  • Sequence (biology)
  • Speech recognition
UN Sustainable Development Goals
  • Industry, innovation and infrastructure
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