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PhD student in National University of Singapore (NUS).
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Human Language Technology Lab
Data Scientist
June 27, 2026 – Present
INTERSPEECH-2023-24-Papers
June 26, 2023 – December 25, 2024
INTERSPEECH 2023-2024 Papers: A complete collection of influential and exciting research papers from the INTERSPEECH 2023-24 conference. Explore the latest advances in speech and language processing. Code included. Star the repository to support the advancement of speech technology!
View ProjectMixed_Emotions_Demo
July 21, 2022 – August 13, 2022
This is the demo page of the paper "Speech Synthesis with Mixed Emotions".
View ProjectEmovox
January 24, 2022 – February 9, 2022
This is the implementation of the paper "Emotion Intensity and its Control for Emotional Voice Conversion".
View Projectseq2seq-EVC
March 25, 2021 – December 31, 2022
This is the implementation of our Interspeech 2021 paper: Limited data emotional voice conversion leveraging text-to-speech: two-stage sequence-to-sequence training.
View Projectcontrollable_evc_code
October 8, 2020 – November 3, 2021
This is the code for controllable EVC framework for seen and unseen emotion generation.
View ProjectKunZhou9646.github.io
July 20, 2020 – August 3, 2023
KunZhou9646.github.io — GitHub repository
View Projectspeaker-independent-emotional-vc
May 13, 2020 – June 3, 2020
Website of the paper "Converting anyone's emotion: towards speaker-independent emotional voice conversion".
View ProjectSpeaker-independent-emotional-voice-conversion-based-on-conditional-VAW-GAN-and-CWT
May 13, 2020 – November 13, 2020
This is the implementation of our Interspeech 2020 paper "Converting anyone's emotion: towards speaker-independent emotional voice conversion".
View Projectemotional-voice-conversion-with-CycleGAN-and-CWT-for-Spectrum-and-F0
January 23, 2020 – December 14, 2020
This is the implementation of the Speaker Odyssey 2020 paper " Transforming spectrum and prosody for emotional voice conversion with non-parallel training data".
View ProjectCultural Fit Analysis
The candidate's project portfolio is highly specialized in emotional voice conversion and speech synthesis, indicating a deep interest and expertise in a niche area of Data Science. While this demonstrates strong dedication, the lack of diversity in project types (e.g., business analytics, general machine learning, data engineering) might suggest a narrow focus, potentially impacting adaptability to broader data science challenges or different team needs. The current role as 'Data Scientist' at 'Human Language Technology Lab' aligns well with their project history, but the 'experienceLevel' is 0, which contradicts the implied seniority from research papers. This discrepancy needs clarification.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's projects indicate a strong focus on research and technical implementation, which suggests a detail-oriented and problem-solving approach. However, there is no information regarding collaboration, communication style, or adaptability in a team setting.