Research Scientist at Shanda Group Corp
Research Scientist at Shanda Group Corp
I am a Research Scientist at Shanda Group Corp, working on speech and language AI.
My research focuses on multi-talker ASR, speech enhancement, speech separation, speech-to-speech, and text-to-speech.
I am interested in building robust and practical spoken language systems for real-world environments.
🎉 2026.06, Three papers accepted to INTERSPEECH 2026.
🙌 2026.04, Joined Shanda AI Research Tokyo as a Research Scientist.
🎉 2025.12, Two papers accepted to ASRU 2025.
Robust Speech Understanding
Multi-talker ASR, noise-robust ASR, multilingual ASR, Speech-LLM adaptation.
Speech Enhancement and Separation
Speech enhancement, source separation, target-speaker extraction, overlap-aware processing.
Generative Spoken Language Systems
Text-to-speech, speech-to-speech, expressive speech generation, LLM-based speech modeling.
Multi-Talker ASR
Serialized Output Prompting for Large Language Model-based Multi-Talker Speech Recognition
IEEE ASRU, 2025
Proposes serialized output prompting to improve large language model-based recognition in overlapping multi-talker speech.
Speech Enhancement
Combining Deterministic Enhanced Conditions with Dual-Streaming Encoding for Diffusion-Based Speech Enhancement
IEEE/ACM TASLP, 2025
Introduces a diffusion-based speech enhancement framework with deterministic enhanced conditions and dual-stream encoding.
Robust Speech Processing
Waveform-domain Speech Enhancement Using Spectrogram Encoding for Robust Speech Recognition
IEEE/ACM TASLP, 2024
Presents a waveform-domain speech enhancement method with spectrogram encoding for robust speech recognition.