Speech recognition in multimedia humanmachine interfaces using neural networks

Jhing Fa Wang, Chung Hsien Wu

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The past decade has been highlighted by the emerging technology of multimedia interface design. Intelligent multimedia interfaces can be developed that require very little computer sophistication on the part of the user. This chapter focuses on speech recognition systems applied to multimedia human-machine interfaces. There are a number of speech recognition systems on the market today, and some of them can be integrated into task-specific applications. However, speech recognition research still faces a few challenges in the area of multimedia human-machine interfaces. This chapter presents some approaches based on neural networks for Mandarin speech recognition. In practical applications, a robust Mandarin speech recognition system (VenusDictate) applied to multimedia interfaces is described.

Original languageEnglish
Title of host publicationMultimedia Technology for Applications
PublisherWiley-IEEE Press
Pages463-489
Number of pages27
ISBN (Electronic)9780470545348
ISBN (Print)0780311744, 9780780311749
DOIs
Publication statusPublished - 1998 Jan 1

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Social Sciences(all)

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    Wang, J. F., & Wu, C. H. (1998). Speech recognition in multimedia humanmachine interfaces using neural networks. In Multimedia Technology for Applications (pp. 463-489). Wiley-IEEE Press. https://doi.org/10.1109/9780470545348.ch15