Error analysis to improve the speech recognition accuracy on Telugu language-Reference-Cited by-同舟云学术

Error analysis to improve the speech recognition accuracy on Telugu language

Published:2012-12 Issue:6 Volume:37 Page:747-761
ISSN:0256-2499
Container-title:Sadhana
language:en
Short-container-title:Sadhana

Author:

RANI N USHA,GIRIJA P N

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://link.springer.com/content/pdf/10.1007/s12046-012-0109-x.pdf

Reference9 articles.

1. Bourlard H, Hermansky H and Morgan N 1996 Towards increasing speech recognition error rates. Speech Communication, 205–231

2. Chen Z, Lee K-F and Lee M-J 2000 Discriminative training on language model, ICSLP-2000, International Conference on Spoken Language Processing, 16–20

3. Davel M and Martirosian O 2009 Pronunciation dictionary development in resource-scarce environments, INTERSPEECH, 2851–2854

4. Kwang H, Kuo J, Fosler-Lussire E, Jiang H and Lee C-H 2002 Discriminative training of language models for speech recognition, In: Proceedings of ICASSP, 325–328

5. Makhoul J, Kubala F, Schwartz R and Weishede R 1999 Performance measures for information extraction, In: Proceedings of DARPA Broadcast News Workshop, 249–252

Cited by 5 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. Analyzing the Effects of Transcription Errors on Summary Generation of Bengali Spoken Documents;ACM Transactions on Asian and Low-Resource Language Information Processing;2024-08-16

2. Style Modeling for Multi-Speaker Articulation-to-Speech;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

3. ASRoIL: a comprehensive survey for automatic speech recognition of Indian languages;Artificial Intelligence Review;2019-10-11

4. Speech Recognition in Indian Languages—A Survey;Recent Trends in Intelligent and Emerging Systems;2015

5. State of Research of Speech Recognition;Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework;2014