Tree-structured vector quantization for speech recognition-Reference-Cited by-同舟云学术

Tree-structured vector quantization for speech recognition

Published:2000-07 Issue:3 Volume:14 Page:227-239
ISSN:0885-2308
Container-title:Computer Speech & Language
language:en
Short-container-title:Computer Speech & Language

Author:

Barszcz M.,Chen W.,Boulianne G.,Kenny P.

Publisher

Elsevier BV

Subject

Human-Computer Interaction,Theoretical Computer Science,Software

Reference15 articles.

1. Optimal pruning with applications to tree-structured source coding and modeling;Chou;IEEE Transactions on Information Theory,1989

2. K. Demuynck, J. Duchateau, D. Van Compernolle, Proceedings of the International Conference on Spoken Language Processing 96, Philadelphia, October 1996, 1996, 2289, 2292

3. Efficient speech recognition using subvector quantization and discrete-mixture HMM’s;Digalakis;Computer Speech and Language,2000

4. V. Digalakis, S. Tsakalidis, L. Neumeyer, Proceedings of Eurospeech 99, September 1999, 1999, 2463, 2466

5. Vector Quantization and Signal Compression;Gersho,1992

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Developing a Speech Recognition System for Recognizing Tonal Speech Signals Using a Convolutional Neural Network;Applied Sciences;2022-06-19

2. PCA-LBG-based algorithms for VQ codebook generation;International Journal of Electronics;2014-05-03

3. A fast VQ codebook generation algorithm via pattern reduction;Pattern Recognition Letters;2009-05

4. A Robust Audio Watermarking Algorithm Based on DCT and Vector Quantization;2008 Eighth International Conference on Intelligent Systems Design and Applications;2008-11

5. Fast VQ codebook generation via Pattern Reduction;2008 IEEE International Conference on Systems, Man and Cybernetics;2008-10