About Me

I am a Research Scientist at SB Intuitions, 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.

Research interests

Automatic Speech Recognition

Speech-LLM, noise-robust ASR, multi-talker ASR, adaptation, and multilingual ASR

Speech Separation

Target speaker extraction, blind source separation, overlap-aware processing

Text-to-Speech

LLM-based generative modeling, expressive speech synthesis, and spoken language generation

Speech Enhancement

Speech enhancement for robust ASR, front-end modeling, and generative approaches

Speech-to-Speech

End-to-end spoken language systems and interactive speech generation

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.

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