Accession Number:

ADP005603

Title:

Voice Interactive Systems in Severe Noise Conditions,

Descriptive Note:

Corporate Author:

INSTITUTE FOR PERCEPTION RVO-TNO SOESTERBERG (NETHERLANDS)

Personal Author(s):

Report Date:

1987-02-01

Pagination or Media Count:

6.0

Abstract:

In a comparison of word recognition performance between human listeners and automatic speech recognition systems ASR, the human listeners performs much better, especially in severe noise conditions. An application engineer can try to optimize the performance of an ASR system by selecting the optimal noise cancelling microphone and vocabulary for voice input. Some results from a study on the effect of signal handling and vocabulary configuration on the performance of voice input and voice output systems will be discussed.

Subject Categories:

  • Voice Communications
  • Human Factors Engineering and Man Machine Systems

Distribution Statement:

APPROVED FOR PUBLIC RELEASE