A dynamic in-search data selection method with its applications to acoustic modeling and utterance verification-Reference-Cited by-同舟云学术

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A dynamic in-search data selection method with its applications to acoustic modeling and utterance verification

Published:2005-09 Issue:5 Volume:13 Page:945-955
ISSN:1063-6676
Container-title:IEEE Transactions on Speech and Audio Processing
language:
Short-container-title:IEEE Trans. Speech Audio Process.

Author:

Hui Jiang ,Soong F.K.,Chin-Hui Lee

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Acoustics and Ultrasonics,Software

Link

http://xplorestaging.ieee.org/ielx5/89/32132/01495476.pdf?arnumber=1495476

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. Data Balancing for Efficient Training of Hybrid ANN/HMM Automatic Speech Recognition Systems;IEEE Transactions on Audio, Speech, and Language Processing;2011-03

2. Discriminative training of HMMs for automatic speech recognition: A survey;Computer Speech & Language;2010-10

3. Training data selection for improving discriminative training of acoustic models;Pattern Recognition Letters;2009-10

4. A Constrained Line Search Optimization Method for Discriminative Training of HMMs;IEEE Transactions on Audio, Speech, and Language Processing;2008-07

5. Solving Large-Margin Hidden Markov Model Estimation via Semidefinite Programming;IEEE Transactions on Audio, Speech and Language Processing;2007-11

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