The role of temporal resolution in modulation-based speech segregation

Tobias May, Thomas Bentsen, Torsten Dau

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

167 Downloads (Pure)

Abstract

This study is concerned with the challenge of automatically segregating a target speech signal from interfering background noise. A computational speech segregation system is presented which exploits logarithmically-scaled amplitude modulation spectrogram (AMS) features to distinguish between speech and noise activity on the basis of individual time-frequency (T-F) units. One important parameter of the segregation system is the window duration of the analysis-synthesis stage, which determines the lower limit of modulation frequencies that can be represented but also the temporal acuity with which the segregation system can manipulate individual T-F units. To clarify the consequences of this trade-off on modulation-based speech segregation performance, the influence of the window duration was systematically investigated
Original languageEnglish
Title of host publicationProceedings of Interspeech 2015
Number of pages5
Publication date2015
Publication statusPublished - 2015
EventINTERSPEECH 2015 : Speech beyond Speech - Dresden, Germany
Duration: 6 Sep 201510 Sep 2015

Conference

ConferenceINTERSPEECH 2015
CountryGermany
CityDresden
Period06/09/201510/09/2015

Keywords

  • Speech segregation
  • Ideal binary mask
  • Amplitude modulation spectrogram features
  • Temporal resolution

Fingerprint Dive into the research topics of 'The role of temporal resolution in modulation-based speech segregation'. Together they form a unique fingerprint.

Cite this