A study on minimum spectral error analysis of speech

Takuma Hayasaka, Takashi Nose, Akinori Ito

研究成果: Conference contribution

抄録

Conventional source-filter vocoders, such as WORLD, can quickly synthesize speech. However, the quality of synthetic speech is degraded due to speech parameters extraction errors. Therefore, this paper proposes minimum spectral error analysis, a speech analysis method that extracts speech parameters using Analysis-by-Synthesis (A-b-S), to improve the quality of speech synthesized by WORLD. We update speech parameters to minimize the error between the amplitude spectra of natural and synthetic speech. We developed the calculation process of the amplitude spectrum of synthetic speech from speech parameters to perform this analysis. A preliminary experiment shows that we have successfully constructed the calculation process.

本文言語English
ホスト出版物のタイトル2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020
出版社Institute of Electrical and Electronics Engineers Inc.
ページ362-363
ページ数2
ISBN(電子版)9781728198026
DOI
出版ステータスPublished - 2020 10 13
イベント9th IEEE Global Conference on Consumer Electronics, GCCE 2020 - Kobe, Japan
継続期間: 2020 10 132020 10 16

出版物シリーズ

名前2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020

Conference

Conference9th IEEE Global Conference on Consumer Electronics, GCCE 2020
国/地域Japan
CityKobe
Period20/10/1320/10/16

ASJC Scopus subject areas

  • 信号処理
  • 電子工学および電気工学
  • メディア記述
  • 器械工学
  • コンピュータ ネットワークおよび通信
  • コンピュータ ビジョンおよびパターン認識

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