Fundamental Frequency Model for Postfiltering at Low Bitrates in a Transform-Domain Speech and Audio Codec

Sneha Das, Tom Bäckström, Guillaume Fuchs

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

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Abstract

Speech codecs can use postfilters to improve the quality of the decoded signal. While postfiltering is effective in reducing coding artifacts, such methods often involve processing in both the encoder and the decoder, rely on additional transmitted side information, or are highly dependent on other codec functions for optimal performance. We propose a low-complexity postfiltering method to improve the harmonic structure of the decoded signal, which models the fundamental frequency of the signal. In contrast to past approaches, the postfilter operates at the decoder as a standalone function and does not need the transmission of additional side information. It can thus be used to enhance the output of any codec. We tested the approach on a modified version of the EVS codec in TCX mode only, which is subject to more pronounced coding artefacts when used at its lowest bitrate. Listening test results show an average improvement of 7 MUSHRA points for decoded signals with the proposed harmonic postfilter.
Original languageEnglish
Title of host publicationProceedings of Interspeech
PublisherInternational Speech Communication Association
Pages2837-2841
Number of pages5
DOIs
Publication statusPublished - 2020
MoE publication typeA4 Article in a conference publication
EventInterspeech - Shanghai, China
Duration: 25 Oct 202029 Oct 2020
Conference number: 21
http://www.interspeech2020.org/

Publication series

NameInterspeech
ISSN (Electronic)1990-9772

Conference

ConferenceInterspeech
Abbreviated titleINTERSPEECH
CountryChina
CityShanghai
Period25/10/202029/10/2020
Internet address

Keywords

  • fundamental frequency
  • postfiltering
  • speech coding

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