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 article

2 Citations (Scopus)

Abstract

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
Volume1
Publication statusPublished - 1996 Jan 1
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

Cite this

@article{4ba480983d32425aa5f798540fd6cbf1,
title = "Fast VSELP speech coder based on mutually orthonormal regular pulse vectors",
abstract = "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.",
author = "Choi, {Yong Soo} and Hong-Goo Kang and Youn, {Dae Hee}",
year = "1996",
month = "1",
day = "1",
language = "English",
volume = "1",
pages = "554--557",
journal = "Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing",
issn = "0736-7791",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

Fast VSELP speech coder based on mutually orthonormal regular pulse vectors. / Choi, Yong Soo; Kang, Hong-Goo; Youn, Dae Hee.

In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Vol. 1, 01.01.1996, p. 554-557.

Research output: Contribution to journalConference article

TY - JOUR

T1 - Fast VSELP speech coder based on mutually orthonormal regular pulse vectors

AU - Choi, Yong Soo

AU - Kang, Hong-Goo

AU - Youn, Dae Hee

PY - 1996/1/1

Y1 - 1996/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0029725756&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0029725756&partnerID=8YFLogxK

M3 - Conference article

VL - 1

SP - 554

EP - 557

JO - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing

JF - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing

SN - 0736-7791

ER -