Neural Feature Predictor and Discriminative Residual Coding for Low-Bitrate Speech Coding

Haici Yang, Wootaek Lim, Minje Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Low and ultra-low-bitrate neural speech codecs achieved unprecedented coding gain by generating speech signals from compact features. This paper introduces additional coding efficiency in speech coding by reducing the temporal redundancy existing in the frame-level feature sequence via a feature predictor. This predictor produces low-entropy residual representations, and we discriminatively code them based on their contribution to the signal reconstruction. Combining feature prediction and discriminative coding optimizes bitrate efficiency by assigning more bits to hard-to-predict events. We demonstrate the advantage of the proposed methods using the LPCNet as a neural vocoder, resulting in a scalable, lightweight, low-latency, and low-bitrate neural speech coding system. While our approach guarantees strict causality in the frame-level prediction, the subjective tests and feature space analysis show that our model achieves superior coding efficiency compared to the loosely-causal LPCNet and Lyra V2 in the very low bitrates.

Original languageEnglish (US)
Title of host publicationICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728163277
DOIs
StatePublished - 2023
Externally publishedYes
Event48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023 - Rhodes Island, Greece
Duration: Jun 4 2023Jun 10 2023

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2023-June
ISSN (Print)1520-6149

Conference

Conference48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023
Country/TerritoryGreece
CityRhodes Island
Period6/4/236/10/23

Keywords

  • Generative Model
  • Low-bitrate Speech Codec
  • LPCNet
  • Predictive Coding

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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