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Companion webpage for the PhD thesis of Rong Gong

Thesis Zenodo.org

Corpora and datasets

Access to the corpora and datasets will be through the Zenodo.org and MusicBrainz.org

Research corpus

  1. Jingju a cappella singing voice dataset part 1
  2. Jingju a cappella singing voice dataset part 2
  3. Jingju a cappella singing voice dataset part 3
  4. Jingju a cappella singing voice dataset metadata on MusicBrainz (organized by Honglin Ma)

Test dataset

  1. Automatic syllable and phoneme segmentation test dataset part 1 - ASPS1
  2. Automatic syllable and phoneme segmentation test dataset part 2 - ASPS2
  3. Pronunciation and overall quality similarity measures test dataset - POQSM

Code

The links to code related to the thesis are listed. Up-to-date links to code (including future releases) will be available on https://github.com/ronggong

  1. Automatic syllable and phoneme segmentation baseline code
  2. Automatic syllable and phoneme segmentation onset detection function improvement code
  3. Mispronunciation detection code
  4. Pronunciation and overall quality similarity measures code

 

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"Indian Art Music: A Computational Perspective", a new ebook is feely available
A tutorial and a workshop within ISMIR 2022
Last two PhD thesis of CompMusic defended
European Research Music Conference in Barcelona
MOOC on North Indian Classical Music by the MTG on the Kadenze platform
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Interviews published in a Chinese Wechat Official Account
Final Report
Technology and Multiculturality
Two evenings of Chinese traditional music
Nīla Saṅgīta - An evening of Indian Classical Music and Dance
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