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» Temporal Feature Selection for Noisy Speech Recognition
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ICASSP
2008
IEEE
15 years 4 months ago
Environmental sound recognition using MP-based features
Defining suitable features for environmental sounds is an important problem in an automatic acoustic scene recognition system. As with most pattern recognition problems, extracti...
Selina Chu, Shrikanth S. Narayanan, C. C. Jay Kuo
EJASMP
2010
196views more  EJASMP 2010»
14 years 4 months ago
Optimizing Automatic Speech Recognition for Low-Proficient Non-Native Speakers
Computer Assisted Language Learning (CALL) applications for improving the oral skills of low-proficient learners have to cope with nonnative speech that is particularly challengin...
Joost van Doremalen, Catia Cucchiarini, Helmer Str...
ICMCS
2007
IEEE
147views Multimedia» more  ICMCS 2007»
15 years 4 months ago
Alignment of Speech to Highly Imperfect Text Transcriptions
We introduce a novel and inexpensive approach for the temporal alignment of speech to highly imperfect transcripts from automatic speech recognition (ASR). Transcripts are generat...
Alexander Haubold, John R. Kender
LREC
2010
164views Education» more  LREC 2010»
14 years 11 months ago
Practical Evaluation of Speech Recognizers for Virtual Human Dialogue Systems
We perform a large-scale evaluation of multiple off-the-shelf speech recognizers across diverse domains for virtual human dialogue systems. Our evaluation is aimed at speech recog...
Xuchen Yao, Pravin Bhutada, Kallirroi Georgila, Ke...
PAMI
2011
14 years 4 months ago
Action Recognition Using Mined Hierarchical Compound Features
—The field of Action Recognition has seen a large increase in activity in recent years. Much of the progress has been through incorporating ideas from single frame object recogn...
Andrew Gilbert, John Illingworth, Richard Bowden