Evaluation of a speech bandwidth extension algorithm based on vocal tract shape estimation

Itai Katsir, David Malah, Israel Cohen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we evaluate a speech bandwidth extension (BWE) algorithm which involves phonetic and speaker dependent estimation of the high-band part of the spectral envelope. The BWE algorithm extracts speech phoneme information by using a hidden Markov model. Speaker vocal tract shape information corresponding to the wideband signal is extracted by a codebook search. Postprocessing of the estimated vocal tract shape using iterative tuning allows artifacts reduction in cases of erroneous estimation of speech phoneme or vocal tract shape. We present objective measurements results demonstrating the benefit of the iterative tuning. Subjective listening tests illustrate improved wideband quality in comparison to the input narrowband speech. The algorithm complexity is also analyzed.

Original languageEnglish
Title of host publicationInternational Workshop on Acoustic Signal Enhancement, IWAENC 2012
ISBN (Electronic)9783800734511
StatePublished - 2012
EventInternational Workshop on Acoustic Signal Enhancement, IWAENC 2012 - Aachen, Germany
Duration: 4 Sep 20126 Sep 2012

Publication series

NameInternational Workshop on Acoustic Signal Enhancement, IWAENC 2012

Conference

ConferenceInternational Workshop on Acoustic Signal Enhancement, IWAENC 2012
Country/TerritoryGermany
CityAachen
Period4/09/126/09/12

Keywords

  • Bandwidth extension
  • MUSHRA
  • Sensitivity function
  • Speech processing
  • Vocal tract area function

All Science Journal Classification (ASJC) codes

  • Software
  • Acoustics and Ultrasonics
  • Computer Networks and Communications
  • Signal Processing

Fingerprint

Dive into the research topics of 'Evaluation of a speech bandwidth extension algorithm based on vocal tract shape estimation'. Together they form a unique fingerprint.

Cite this