VoiceBank-2023: A Multi-Speaker Mandarin Speech Corpus for Constructing Personalized TTS Systems for the Speech Impaired

Jia-Jyu Su, Pang-Chen Liao, Yen-Ting Lin, Wu-Hao Li, Guan-Ting Liou +6 more
8/27/2023
eess.AScs.CLcs.SD

No official code found. Best implementation: VoiceBank-NTPU-TW/VoiceBank-2023 (40 stars, last commit 2026-01-04).

Abstract

Services of personalized TTS systems for the Mandarin-speaking speech impaired are rarely mentioned. Taiwan started the VoiceBanking project in 2020, aiming to build a complete set of services to deliver personalized Mandarin TTS systems to amyotrophic lateral sclerosis patients. This paper reports the corpus design, corpus recording, data purging and correction for the corpus, and evaluations of the developed personalized TTS systems, for the VoiceBanking project. The developed corpus is named after the VoiceBank-2023 speech corpus because of its release year. The corpus contains 29.78 hours of utterances with prompts of short paragraphs and common phrases spoken by 111 native Mandarin speakers. The corpus is labeled with information about gender, degree of speech impairment, types of users, transcription, SNRs, and speaking rates. The VoiceBank-2023 is available by request for non-commercial use and welcomes all parties to join the VoiceBanking project to improve the services for the speech impaired.

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Code Implementations(1)

VoiceBank-2023 is the speech corpus specially designed for constructing personalized Mandarin text-to-speech (TTS) systems.

401Aug 25, 20239 months ago
assessment-of-dysarthriaassessment-of-sound-qualityassessment-of-voice-qualitypersonalized-tts

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Cite this paper

@article{su2023voicebank,
  title  = {VoiceBank-2023: A Multi-Speaker Mandarin Speech Corpus for Constructing Personalized TTS Systems for the Speech Impaired},
  author = {Jia-Jyu Su and Pang-Chen Liao and Yen-Ting Lin and Wu-Hao Li and Guan-Ting Liou and Cheng-Che Kao and Wei-Cheng Chen and Jen-Chieh Chiang and Wen-Yang Chang and Pin-Han Lin and Chen-Yu Chiang},
  year   = {2023},
  eprint = {2308.14763},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2308.14763v1}
}

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