Super-Wideband Spectral Envelope Modeling for Speech Coding

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu

Tutkijat

Organisaatiot

  • Fraunhofer Institute for Integrated Circuits

Kuvaus

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.

Yksityiskohdat

AlkuperäiskieliEnglanti
OtsikkoProceedings of Interspeech
TilaJulkaistu - syyskuuta 2019
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaInterspeech - Graz, Itävalta
Kesto: 15 syyskuuta 201919 syyskuuta 2019
https://www.interspeech2019.org/

Julkaisusarja

NimiInterspeech - Annual Conference of the International Speech Communication Association
ISSN (elektroninen)2308-457X

Conference

ConferenceInterspeech
MaaItävalta
KaupunkiGraz
Ajanjakso15/09/201919/09/2019
www-osoite

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