Super-Wideband Spectral Envelope Modeling for Speech Coding

Guillaume Fuchs, Chamran Ashour, Tom Bäckström

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

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Abstract

Significant improvements in the quality of speech coders have been achieved by widening the coded frequency range from narrowband to wideband. However, existing speech coders still employ a limited band source-filter model extended by parametric coding of the higher band. In the present work, a superwideband source-filter model running at 32 kHz is considered and especially its spectral magnitude envelope modeling. To match super-wideband operating mode, we adapted and compared two methods; Linear Predictive Coding (LPC) and Distribution Quantization (DQ). LPC uses autoregressive modeling, while DQ quantifies the energy ratios between different parts of the spectrum. Parameters of both methods were quantized with a multi-stage vector quantization. Objective and subjective evaluations indicate that both methods used in a super-wideband source-filter coding scheme offer the same quality range, making them an attractive alternative to conventional speech coders that require additional bandwidth extension.
Original languageEnglish
Title of host publicationProceedings of Interspeech
PublisherISCA
Pages3411-3415
DOIs
Publication statusPublished - Sep 2019
MoE publication typeA4 Article in a conference publication
EventInterspeech - Graz, Austria
Duration: 15 Sep 201919 Sep 2019
https://www.interspeech2019.org/

Publication series

NameInterspeech - Annual Conference of the International Speech Communication Association
ISSN (Electronic)2308-457X

Conference

ConferenceInterspeech
CountryAustria
CityGraz
Period15/09/201919/09/2019
Internet address

Keywords

  • LPC
  • Spectral envelope modeling
  • Speech Coding

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