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» Data pruning for template-based automatic speech recognition
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ACSC
2006
IEEE
15 years 3 months ago
On compensating the Mel-frequency cepstral coefficients for noisy speech recognition
This paper describes a novel noise-robust automatic speech recognition (ASR) front-end that employs a combination of Mel-filterbank output compensation and cumulative distribution...
Eric H. C. Choi
81
Voted
AAAI
2012
12 years 12 months ago
Online Sequence Alignment for Real-Time Audio Transcription by Non-Experts
Real-time transcription provides deaf and hard of hearing people visual access to spoken content, such as classroom instruction, and other live events. Currently, the only reliabl...
Walter S. Lasecki, Christopher D. Miller, Donato B...
MLMI
2007
Springer
15 years 3 months ago
Modeling Vocal Interaction for Segmentation in Meeting Recognition
Automatic segmentation is an important technology for both automatic speech recognition and automatic speech understanding. In meetings, participants typically vocalize for only a ...
Kornel Laskowski, Tanja Schultz
ICASSP
2009
IEEE
15 years 4 months ago
Unsupervised equalization of Lombard effect for speech recognition in noisy adverse environment
When exposed to environmental noise, speakers adjust their speech production to maintain intelligible communication. This phenomenon, called Lombard effect (LE), is known to consi...
Hynek Boril, John H. L. Hansen
TSD
2004
Springer
15 years 2 months ago
Multimodal Phoneme Recognition of Meeting Data
This paper describes experiments in automatic recognition of context-independent phoneme strings from meeting data using audiovisual features. Visual features are known to improve ...
Petr Motlícek, Jan Cernocký