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From CMU Sphinx-II to Microsoft
Whisper: Making Speech Recognition
Usable
September 1, 1994

Download Document

BibTex
Authors

Fil Alleva

Doug Beeferman

Milind Mahajan

Mei-Yuh Hwang

Xuedong Huang
Published In

Automatic Speech and Speaker Recognition--Advanced Topics
Publication Type
Inbook
Book Title
Automatic Speech and Speaker Recognition--Advanced Topics
Pages
28
Number
MSR-TR-94-20
Publisher
Kluwer Academic
All copyrights reserved by Kluwer Academic 2007.

Abstract

Related Info
Abstract
In this paper, we first review Sphinx-II, a large-vocabulary speaker-independent continuous
speech recognition system developed at CMU. We summarize techniques that helped Sphinx-II
achieve the state-of-the-art large-vocabulary continuous speech recognition performance. We
then review Whisper, a system we developed here at Microsoft Research. We focus on
recognition accuracy, efficiency and usability issues, which are critical to the success of
commercial speech applications. Whisper has significantly improved Sphinx-II’s performance in
these three areas.
Related Info
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 Speech and Dialog Research Group
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 Human-centered computing
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 Microsoft Research Lab - Redmond
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