Chin-Hui Lee
Professor
Researches speech recognition and deep learning for speech and audio signal processing.
Chin-Hui Lee's lab at Georgia Tech works on speech recognition & spoken language, music, audio & sound and signal processing & information theory. 40 papers since 2023, 24 at top venues, mostly ICASSP and Interspeech. Applications close .
At a glance
- papers, 2023–2026
- 10/ year
- at T1 venues
- 60%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 3 papers2025 · T1 2
- 15 papers2024 · T1 8
- 22 papers2023 · T1 14
T1 venuesOtherVenues: ICASSP, Interspeech, ICME, Speech Communication, ASRU
Research focuspaper titles that use each topic's words
- Speech recognition & spoken language24 papers
- speech22 papers
- Music, audio & sound15 papers
- Signal processing & information theory8 papers
- researches speech0 papers
Paper list
From DBLP.
20253 papers
- ICASSP (T1)An Explicit Consistency-Preserving Loss Function for Phase Reconstruction and Speech Enhancement (opens in a new tab)
- Interspeech (T1)The Multimodal Information Based Speech Processing (MISP) 2025 Challenge: Audio-Visual Diarization and Recognition (opens in a new tab)
- IEEE Trans. Multim.Video Segmentation and Tokenization for Model-Based Video Scene Classification (opens in a new tab)
202415 papers
- ICASSP (T1)A Spatial Long-Term Iterative Mask Estimation Approach for Multi-Channel Speaker Diarization and Speech Recognition (opens in a new tab)
- CVPR (T1)A Study of Dropout-Induced Modality Bias on Robustness to Missing Video Frames for Audio-Visual Speech Recognition (opens in a new tab)
- IEEE ACM Trans. Audio Speech Lang. Process.A Variance-Preserving Interpolation Approach for Diffusion Models With Applications to Single Channel Speech Enhancement and Recognition (opens in a new tab)
- ICASSP (T1)Boosting End-to-End Multilingual Phoneme Recognition Through Exploiting Universal Speech Attributes Constraints (opens in a new tab)
- IEEE Trans. Multim.Collaborative Viseme Subword and End-to-End Modeling for Word-Level Lip Reading (opens in a new tab)
- Interspeech (T1)Enhancing Voice Wake-Up for Dysarthria: Mandarin Dysarthria Speech Corpus Release and Customized System Design (opens in a new tab)
- ICMEExploring Audio-Visual Information Fusion for Sound Event Localization and Detection In Low-Resource Realistic Scenarios (opens in a new tab)
- ICASSP (T1)Improving Multi-Modal Emotion Recognition Using Entropy-Based Fusion and Pruning-Based Network Architecture Optimization (opens in a new tab)
- Interspeech (T1)Language-Universal Speech Attributes Modeling for Zero-Shot Multilingual Spoken Keyword Recognition (opens in a new tab)
- ICASSP (T1)Neural Speaker Diarization Using Memory-Aware Multi-Speaker Embedding with Sequence-to-Sequence Architecture (opens in a new tab)
- IEEE ACM Trans. Audio Speech Lang. Process.Optimizing Audio-Visual Speech Enhancement Using Multi-Level Distortion Measures for Audio-Visual Speech Recognition (opens in a new tab)
- SLTSummary of Low-Resource Dysarthria Wake-Up Word Spotting Challenge (opens in a new tab)
202322 papers
- IEEE ACM Trans. Audio Speech Lang. Process.A Four-Stage Data Augmentation Approach to ResNet-Conformer Based Acoustic Modeling for Sound Event Localization and Detection (opens in a new tab)
- Interspeech (T1)A Multi-dimensional Deep Structured State Space Approach to Speech Enhancement Using Small-footprint Models (opens in a new tab)
- Interspeech (T1)A Multiple-Teacher Pruning Based Self-Distillation (MT-PSD) Approach to Model Compression for Audio-Visual Wake Word Spotting (opens in a new tab)
- ICASSP (T1)A Quantum Kernel Learning Approach to Acoustic Modeling for Spoken Command Recognition (opens in a new tab)
- Interspeech (T1)AD-TUNING: An Adaptive CHILD-TUNING Approach to Efficient Hyperparameter Optimization of Child Networks for Speech Processing Tasks in the SUPERB Benchmark (opens in a new tab)
- ICASSP (T1)An Experimental Study on Sound Event Localization and Detection Under Realistic Testing Conditions (opens in a new tab)
- IEEE ACM Trans. Audio Speech Lang. Process.ANSD-MA-MSE: Adaptive Neural Speaker Diarization Using Memory-Aware Multi-Speaker Embedding (opens in a new tab)
- APSIPA ASCCorrelated Multi-Level Speech Enhancement for Robust Real-World ASR Applications Using Mask-Waveform-Feature Optimization (opens in a new tab)
- APSIPA ASCEnhancing Privacy Preservation with Quantum Computing for Word-Level Audio-Visual Speech Recognition (opens in a new tab)
- ICMEImproving Audio-Visual Speech Recognition by Lip-Subword Correlation Based Visual Pre-training and Cross-Modal Fusion Encoder (opens in a new tab)
- APSIPA ASCImproving Sound Event Localization and Detection with Class-Dependent Sound Separation for Real-World Scenarios (opens in a new tab)
- ICASSP (T1)Incorporating Lip Features into Audio-Visual Multi-Speaker DOA Estimation by Gated Fusion (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to Georgia TechFall 2027
Georgia Tech Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- optional
- English
- TOEFL/IELTS
- Fee
- See program page
Not yet confirmed for this intake.
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Data
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