Towards ASR on partially corrupted speech

Hynek Hermansky, Sangita Tibrewala, Misha Pavel

Research output: Contribution to conferencePaperpeer-review

109 Scopus citations

Abstract

A new highly parallel approach to automatic recognition of speech, inspired by early Fletcher'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 corrupted. In such cases, it can yield an order-of-magnitude improvement in the error rate over a conventional full-band recognizer.

Original languageEnglish (US)
Pages462-465
Number of pages4
StatePublished - Dec 1 1996
EventProceedings of the 1996 International Conference on Spoken Language Processing, ICSLP. Part 1 (of 4) - Philadelphia, PA, USA
Duration: Oct 3 1996Oct 6 1996

Other

OtherProceedings of the 1996 International Conference on Spoken Language Processing, ICSLP. Part 1 (of 4)
CityPhiladelphia, PA, USA
Period10/3/9610/6/96

ASJC Scopus subject areas

  • Computer Science(all)

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