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» The limits of speech recognition
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ICASSP
2011
IEEE
13 years 12 days 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, ...
INTERSPEECH
2010
13 years 3 months ago
Impact of lack of acoustic feedback in EMG-based silent speech recognition
This paper presents our recent advances in speech recognition based on surface electromyography (EMG). This technology allows for Silent Speech Interfaces since EMG captures the e...
Matthias Janke, Michael Wand, Tanja Schultz
INTERSPEECH
2010
13 years 3 months ago
Emotion recognition using imperfect speech recognition
This paper investigates the use of speech-to-text methods for assigning an emotion class to a given speech utterance. Previous work shows that an emotion extracted from text can c...
Florian Metze, Anton Batliner, Florian Eyben, Tim ...
IJPRAI
2000
135views more  IJPRAI 2000»
13 years 8 months ago
Towards Unrestricted Lip Reading
Lip reading provides useful information in speech perception and language understanding, especially when the auditory speech is degraded. However, many current automatic lip readi...
Uwe Meier, Rainer Stiefelhagen, Jie Yang, Alex Wai...
ICASSP
2009
IEEE
14 years 3 months ago
Filtering web text to match target genres
In language modeling for speech recognition, both the amount of training data and the match to the target task impact the goodness of the model, with the trade-off usually favorin...
Marius A. Marin, Sergey Feldman, Mari Ostendorf, M...