Fast VSELP speech coder based on mutually orthonormal regular pulse vectors

Yong Soo Choi, Hong Goo Kang, Dae Hee Youn

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)


A new Vector Sum Excited Linear Prediction (VSELP) speech coder employing mutually orthonormal regular pulse vectors is presented. Since the algorithm uses an efficient vector-sum codebook consisting of mutually orthonormal regular pulse basis vectors, computational load for codebook search can be significantly reduced, while the reconstructed speech quality is equivalent to that of the conventional VSELP. The method, referred to as Regular Pulse VSELP (RP-VSELP), employs the Gram-Schmidt (GS) procedure to orthonormalize the basis vectors designed in a form of regular pulses. To enhance the SNR performance, the basis vectors are optimized using an iterative closed-loop training process.

Original languageEnglish
Pages (from-to)554-557
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Publication statusPublished - 1996
EventProceedings of the 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 6) - Atlanta, GA, USA
Duration: 1996 May 71996 May 10

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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