An Overview of the SPHINX-II Speech Recognition System

Abstract

ABSTRACT In the past year at Carnegie Mellon steady progress has been made in the area of acoustic and language modeling. The result has been a dramatic reduction in speech recognition errors in the SPHINX-II system. In this paper, we review SPHINX-I/and summarize our recent efforts on improved speech recognition. Recently SPHINX-I/ achieved the lowest error rate in the November 1992 DARPA evaluations. For 5000-word, speaker-independent, continuous, speech recognition, the error rate was reduced to 5%.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1993
Accession Number
ADA458658

Entities

People

  • Fileno Alleva
  • Mei-yuh Hwang
  • Roni Rosenfeld
  • Xuedong Huang

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Acoustics
  • Algorithms
  • Artificial Intelligence
  • Automated Speech Recognition
  • Computational Complexity
  • Computer Languages
  • Computer Science
  • Decoding
  • Feature Extraction
  • Hidden Markov Models
  • Language
  • Markov Models
  • Probability
  • Signal Processing
  • Test Sets
  • Training
  • Vocabulary

Readers

  • Speech Processing/Speech Recognition.
  • Technical Research and Report Writing.

Technology Areas

  • AI & ML