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» Data pruning for template-based automatic speech recognition
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ICASSP
2011
IEEE
14 years 1 months ago
Named entity recognition from Conversational Telephone Speech leveraging Word Confusion Networks for training and recognition
Named Entity (NE) recognition from the results of Automatic Speech Recognition (ASR) is challenging because of ASR errors. To detect NEs, one of the options is to use a statistica...
Gakuto Kurata, Nobuyasu Itoh, Masafumi Nishimura, ...
SPEECH
2008
97views more  SPEECH 2008»
14 years 9 months ago
Extraction and representation of prosodic features for language and speaker recognition
In this paper, we propose a new approach for extracting and representing prosodic features directly from the speech signal. We hypothesize that prosody is linked to linguistic uni...
Leena Mary, B. Yegnanarayana
LREC
2010
237views Education» more  LREC 2010»
14 years 11 months ago
The Alborada-I3A Corpus of Disordered Speech
This paper describes the "Alborada-I3A" corpus of disordered speech, acquired during the recent years for the research in different speech technologies for the handicapp...
Oscar Saz, Eduardo Lleida, Carlos Vaquero, William...
76
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CIKM
2001
Springer
15 years 2 months ago
Automatic Discovery of Salient Segments in Imperfect Speech Transcripts
This paper addresses the problem of automatic detection of salient video segments for real-world applications such as corporate training based on associated speech transcriptions....
Dulce B. Ponceleon, Savitha Srinivasan
MMSYS
2012
242views more  MMSYS 2012»
13 years 5 months ago
6DMG: a new 6D motion gesture database
Motion-based control is gaining popularity, and motion gestures form a complementary modality in human-computer interactions. To achieve more robust user-independent motion gestur...
Mingyu Chen, Ghassan Al-Regib, Biing-Hwang Juang