DocumentCode
2254414
Title
Towards ASR on partially corrupted speech
Author
Hennansky, H. ; Tibrewala, Sangita ; Pave, Misha
Author_Institution
Oregon Graduate Inst. of Sci. & Technol., Beaverton, OR, USA
Volume
1
fYear
1996
fDate
3-6 Oct 1996
Firstpage
462
Abstract
A new highly parallel approach to automatic recognition of speech, inspired by early Fetcher´s research on articulation index, and based on independent probability estimates in several sub-bands of the available speech spectrum, is presented. The approach is especially suitable for situations when part of the spectrum of speech is computed. In such cases, it can yield an order-of-magnitude improvement in the error rate over a conventional full-band recognizer
Keywords
probability; speech recognition; articulation index; automatic speech recognition; error rate; full-band recognizer; highly parallel approach; independent probability estimates; partially corrupted speech; speech spectrum; Automatic speech recognition; Decoding; Degradation; Frequency; Humans; Merging; Signal processing; Speech enhancement; Speech recognition; Viterbi algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Spoken Language, 1996. ICSLP 96. Proceedings., Fourth International Conference on
Conference_Location
Philadelphia, PA
Print_ISBN
0-7803-3555-4
Type
conf
DOI
10.1109/ICSLP.1996.607154
Filename
607154
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