Rong Gong

PhD thesis

Companion webpage, Automatic assessment of singing voice pronunciation: a case study with jingju music

Research interests

• Music information retrieval MIR
• Audio, music and speech signal processing and machine learning
• Sound scene classification and sound event detection
• Psychoacoustics

Academic activities

• Google Speech Summit traveling grant, London, May 2018
• Task captain of MIREX 2018: Automatic Lyrics-to-Audio Alignment (Link)
• ISMIR conference reviewer 2017, 2018, 2019
• DCASE workshop reviewer 2019

Education

• PhD Cum laude, Music Technology Group - Universitat Pompeu Fabra MTG-UPF, Barcelona
• Master in Acoustics, Signal Processing, and Computer Science Applied to Music (ATIAM), UPMC/IRCAM/Telecom Paristech, Paris
• Master in Acoustics, Psychoacoustics and Signal Processing, Communication university of China, Beijing
• B.Math in Applied Mathematics from Northwest university, Xi'an, China

Projects

• Essentia, github page Implement PYin (probabilistic Yin) pitch extraction algorithms in Essentia (Open-source library and tools for audio and music analysis, description and synthesis).
• TECSOME-MusicCritic, demo page Develop automatic solfège assessment API using KALDI.
• Remorse at death iOS app, github page Project collaborator-Beijing City Social Science Foundation 16JDYTA016; Collect jingju singing recording materials of both professional and amateur singers; Develop iOS jingju singing courseware.
• CompMusic, "Computational Models for the Discovery of the World's Music", funded by the European Research Council (2011~2017).
  • Jingju (Beijing opera) singing voice a cappella dataset, part1, part2, part3
  • Jingju syllable and phoneme onset detection and segmentation, baseline models, improved models
  • Jingju mispronunciation detection, code
  • Jingju pronunciation and overall quality similarity, code
• Antescofo Improve the performance of the score following system - Antescofo on singing voice.

Publications

list of publications

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