Query-based HMM training method for ASR

被引：0
|
作者：
Kyung, Y
Jung, J
Moon, S
机构：
[1] Tokyo Inst Technol, Dept Comp Sci, Furui Lab, Meguro Ku, Tokyo 1528552, Japan
[2] Infin Telecom Co, Seoul 135080, South Korea
来源：
ELECTRONICS LETTERS | 2003年 / 39卷 / 16期
关键词：
D O I：
10.1049/el:20030774
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A query-based hidden Markov model (HMM) training method for refinement of classification boundary is proposed. For this work, an HMM inversion with minimisation of mean-square error (MMSE) criterion is defined. The proposed algorithm is compared with conventional training methods on an isolated digit recognition problem. The proposed query-based HMM learning algorithm decreased the recognition error rate to 60% in conducted experiments.
引用
收藏
页码：1222 / 1223
页数：2
相关论文
共 50 条
  • [1] Query-Based Word Spotting in Handwritten Documents Using HMM
    Bharathi, V. C.
    Veningston, K.
    Rao, P. V. Venkateswara
    [J]. DATA ENGINEERING AND COMMUNICATION TECHNOLOGY, ICDECT-2K19, 2020, 1079 : 31 - 39
  • [2] Item Recommendation by Query-Based Biclustering Method
    Yokoyama, Naoya
    Okada, Yoshihumi
    [J]. KNOWLEDGE AND SYSTEMS ENGINEERING (KSE 2013), VOL 2, 2014, 245 : 155 - 162
  • [3] Enhanced Training of Query-Based Object Detection via Selective Query Recollection
    Chen, Fangyi
    Zhang, Han
    Hu, Kai
    Huang, Yu-Kai
    Zhu, Chenchen
    Savvides, Marios
    [J]. 2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2023, : 23756 - 23765
  • [4] Context Sensitive Query Correction Method for Query-Based Text Summarization
    Rahman, Nazreena
    Borah, Bhogeswar
    [J]. COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2017, PT VI, 2017, 10409 : 17 - 30
  • [5] Query-Based Automatic Training Set Selection for Microblog Retrieval
    Albishre, Khaled
    Li, Yuefeng
    Xu, Yue
    [J]. ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PAKDD 2018, PT II, 2018, 10938 : 325 - 336
  • [6] A query-based quantum eigensolver
    Jin, Shan
    Wu, Shaojun
    Zhou, Guanyu
    Li, Ying
    Li, Lvzhou
    Li, Bo
    Wang, Xiaoting
    [J]. Quantum Engineering, 2020, 2 (03)
  • [7] Snapshot query-based debugging
    Potanin, A
    Noble, J
    Biddle, R
    [J]. 2004 AUSTRALIAN SOFTWARE ENGINEERING CONFERENCE, PROCEEDINGS, 2004, : 251 - 259
  • [8] Dynamic query-based debugging
    Lencevicius, R
    Hölzle, U
    Singh, AK
    [J]. ECOOP'99 - OBJECT-ORIENTED PROGRAMMING, 1999, 1628 : 135 - 160
  • [9] Query-Based Data Pricing
    Koutris, Paraschos
    Upadhyaya, Prasang
    Balazinska, Magdalena
    Howe, Bill
    Suciu, Dan
    [J]. JOURNAL OF THE ACM, 2015, 62 (05)
  • [10] Stochastic DNN-HMM Training for Robust ASR
    Lee, Kang Hyun
    Kang, Woo Hyun
    Lee, Hyeonseung
    Kim, Nam Soo
    [J]. 2018 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA ASC), 2018, : 177 - 182
12345