Naoyuki Kanda
AI Research Scientist at Meta
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolNaoyuki Kanda is an AI Research Scientist based in Seattle with over 15 years of R&D experience in spoken language technologies and more than a decade focused on deep-learning speech systems. He joined Meta in 2024 after leading research teams at Microsoft and holds a PhD in Informatics from Kyoto University. Naoyuki's work spans ASR, TTS, speaker diarization, speech separation, dialogue systems and spoken document retrieval, and includes top-ranked papers and editorial/review roles at IEEE Trans., ICASSP and Interspeech. His systems have won major challenges (IWSLT 2014 ASR, CHiME separation/recognition, VoxSRC-20 diarization), reflecting strong empirical results on real-world benchmarks. An active open-source contributor to espnet, he has enhanced ASR pipelines with BPE/character tokenization, LM integration and speaker-aware scoring to help move research into production.
9 years of coding experience
19 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Informatics, Doctor of Philosophy (Ph.D.) Informatics at Kyoto University
Japanese, English
Github Skills (7)
sh10
script10
bash10
shell10
asr10
scripting10
language-modeling8
Programming languages (6)
Github contributions (5)
espnet/espnet
Oct 2018 - Oct 2022
End-to-End Speech Processing Toolkit
Role in this project:
Back-end Developer
Back-end DeveloperContributions:230 reviews, 1679 commits, 759 PRs in 4 years
Contributions summary:Naoyuki's commits primarily involved modifications to the asr.sh script and related utilities, focusing on enhancements to the data preparation and decoding stages. The changes introduce functionality for incorporating text cleaning and tokenization, including options for BPE and character-level tokenization, and the integration of language model paths. Additionally, they modified the generation and utilization of datasets to provide speaker id and clean speech file path to audio-related scoring processes and created the related test scripts for it. These modifications suggest a focus on enhancing the ASR pipeline.
speech-recognitionspeech-separationchainerspoken-language-understandingspeech-processing
kamo-naoyuki/ctc-segmentation
Aug 2020 - Aug 2022
CTC segmentation python package
Contributions:4 PRs, 30 pushes, 5 branches in 2 years
ctcpython-packagepythonsegmentation
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