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