Jeffrey J. Rodriguez, Jae S. Lim, Elliot Singer

Research output: Contribution to journalConference articlepeer-review

6 Scopus citations


One method of enhancing noise-corrupted speech for vocoders and speech-recognition systems in environments with a high level of ambient noise is adaptive noise cancellation. In previous research, this method was tested in a simulated cockpit environment, yielding impressive results. However, in simulations reflecting more realistic conditions, adaptive noise cancellation has been less successful. Adaptive filtering techniques have been applied to two signals in order to improve the signal-to-noise ratio of the noisy speech. Spectral analysis of the data showed that the diffuseness of the ambient noise field, along with the microphone characteristics, has a significant effect on the performance of adaptive noise cancellation.

Original languageEnglish (US)
Pages (from-to)169-172
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
StatePublished - Jan 1 1987
Externally publishedYes

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering


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