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» Morphosyntactic Resources for Automatic Speech Recognition
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ICASSP
2010
IEEE
13 years 6 months ago
Morphology-based and sub-word language modeling for Turkish speech recognition
We explore morphology-based and sub-word language modeling approaches proposed for morphologically rich languages, and evaluate and contrast them for Turkish broadcast news transc...
Hasim Sak, Murat Saraclar, Tunga Güngör
ICASSP
2009
IEEE
14 years 15 days ago
Minimum variance modulation filter for robust speech recognition
This paper describes a way of designing modulation filter by datadriven analysis which improves the performance of automatic speech recognition systems that operate in real envir...
Yu-Hsiang Bosco Chiu, Richard M. Stern
ACL
2003
13 years 7 months ago
A Syllable Based Word Recognition Model for Korean Noun Extraction
Noun extraction is very important for many NLP applications such as information retrieval, automatic text classification, and information extraction. Most of the previous Korean ...
Do-Gil Lee, Hae-Chang Rim, Heui-Seok Lim
NAACL
2010
13 years 3 months ago
Cheap, Fast and Good Enough: Automatic Speech Recognition with Non-Expert Transcription
Deploying an automatic speech recognition system with reasonable performance requires expensive and time-consuming in-domain transcription. Previous work demonstrated that non-pro...
Scott Novotney, Chris Callison-Burch
ICASSP
2009
IEEE
14 years 15 days ago
Cross-lingual speech recognition under runtime resource constraints
This paper proposes and compares four cross-lingual and bilingual automatic speech recognition techniques under the constraints of limited memory size and CPU speed. The first thr...
Dong Yu, Li Deng, Peng Liu, Jian Wu, Yifan Gong, A...