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» Punctuating speech for information extraction
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ANLP
2000
169views more  ANLP 2000»
13 years 6 months ago
Named Entity Extraction from Noisy Input: Speech and OCR
In this paper, we analyze the performance of name finding in the context of a variety of automatic speech recognition (ASR) systems and in the context of one optical character rec...
David R. H. Miller, Sean Boisen, Richard M. Schwar...
ICASSP
2009
IEEE
14 years 7 days ago
Syntactically-informed models for comma prediction
Providing punctuation in speech transcripts not only improves readability, but it also helps downstream text processing such as information extraction or machine translation. In t...
Benoît Favre, Dilek Z. Hakkani-Tür, Eli...
ICMCS
2005
IEEE
133views Multimedia» more  ICMCS 2005»
13 years 11 months ago
Multi-sensory speech processing: incorporating automatically extracted hidden dynamic information
We describe a novel technique for multi-sensory speech processing for enhancing noisy speech and for improved noiserobust speech recognition. Both air- and bone-conductive microph...
Amarnag Subramanya, Li Deng, Zicheng Liu, Zhengyou...
NAACL
2010
13 years 3 months ago
Formatting Time-Aligned ASR Transcripts for Readability
We address the problem of formatting the output of an automatic speech recognition (ASR) system for readability, while preserving wordlevel timing information of the transcript. O...
Maria Shugrina
ANLP
2000
157views more  ANLP 2000»
13 years 6 months ago
Experiments on Sentence Boundary Detection
This paper explores the problem of identifying sentence boundaries in the transcriptions produced by automatic speech recognition systems. An experiment which determines the level...
Mark Stevenson, Robert J. Gaizauskas