DocumentCode :
857172
Title :
Automatic speech recognition performance on a voicemail transcription task
Author :
Padmanabhan, Mukund ; Saon, George ; Huang, Jing ; Kingsbury, Brian ; Mangu, Lidia
Author_Institution :
Rennaisance Technol. Corp., East Setauket, NY, USA
Volume :
10
Issue :
7
fYear :
2002
fDate :
10/1/2002 12:00:00 AM
Firstpage :
433
Lastpage :
442
Abstract :
We report on the performance of automatic speech recognition (ASR) systems on voicemail transcription. Voicemail is spontaneous telephone speech recorded over a variety of channels; consequently, it is representative of many challenging problems in speech recognition. In the course of working on this task, several algorithms were developed that focus on different components of an ASR system, including lexicon design, feature extraction, hypothesis search, and adaptation. We report the improvements provided by these techniques, as well as other standard techniques, on a voicemail test set. Although the techniques are benchmarked on voicemail test data, their scope is not restricted to this domain as they address fundamental aspects of the speech recognition process.
Keywords :
feature extraction; speech recognition; voice mail; ASR system; acoustic model adaptation; algorithms; automatic speech recognition performance; feature extraction; hypothesis search; lexicon design; voicemail test data; voicemail transcription; Algorithm design and analysis; Automatic speech recognition; Error analysis; Feature extraction; Hidden Markov models; Information retrieval; Speech recognition; Telephony; Testing; Voice mail;
fLanguage :
English
Journal_Title :
Speech and Audio Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-6676
Type :
jour
DOI :
10.1109/TSA.2002.804303
Filename :
1045275
Link To Document :
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