Chenda Li
Assistant Professor
Works on speech enhancement and separation, multimodal speech processing and speech language models in the AudioCC lab.
Chenda Li's lab at SJTU works on speech recognition & spoken language, speech enhancement & signal processing and multimodal & grounded language. 31 papers since 2023, 21 at top venues, mostly Interspeech and ICASSP. Applications close .
At a glance
- papers, 2023–2026
- 8/ year
- at T1 venues
- 68%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 11 papers2026 · T1 10 · collecting
- 9 papers2025 · T1 3
- 5 papers2024 · T1 3
- 6 papers2023 · T1 5
T1 venuesOtherVenues: Interspeech, ICASSP, ASRU, AAAI, Findings of ACL
Research focuspaper titles that use each topic's words
- Speech recognition & spoken language28 papers
- Speech enhancement & signal processing25 papers
- speech25 papers
- separation9 papers
- Multimodal & grounded language2 papers
Paper list
From the lab homepage.
202611 papers
- ICASSP (T1)2025 Urgent Speech Enhancement Challenge Multilingual P.808 Listening Tests: Approach and Results (opens in a new tab)
- Findings of ACLBeyond Sentence-Level Labels: Integrating Conversational Context and Personal Experience for Natural Emotional Expression (opens in a new tab)
- Interspeech (T1)ESPnet3: Infrastructure for Scalable Speech and Audio Research in the Foundation Model Era (opens in a new tab)
- ICASSP (T1)ICASSP 2026 Urgent Speech Enhancement Challenge (opens in a new tab)
- ICASSP (T1)MeanSE: Efficient Generative Speech Enhancement with Mean Flows (opens in a new tab)
- ICASSP (T1)SLM-SS: Speech Language Model for Generative Speech Separation (opens in a new tab)
- ICASSP (T1)Str-DiffSep: Streamable Diffusion Model for Speech Separation (opens in a new tab)
- Interspeech (T1)TF-MoE: Time-Frequency Mixture-of-Experts for Efficient Speech Separation
- Interspeech (T1)Towards Array-Invariant Speech Enhancement via Geometry-Aware Dynamic Convolution (opens in a new tab)
- Interspeech (T1)URGENT-MOS: Unified Multi-Metric and Preference Learning for Robust Speech Quality Assessment (opens in a new tab)
- AAAI (T1)USE: A Unified Model for Universal Sound Separation and Extraction (opens in a new tab)
20259 papers
- npj AcousticsContextual Understanding with Contextual Embeddings for Multi-Talker Speech Separation and Recognition in a Cocktail Party (opens in a new tab)
- Interspeech (T1)Efficient Multilingual ASR Finetuning via LoRA Language Experts (opens in a new tab)
- ASRUImproving Speech Enhancement with Multi-Metric Supervision from Learned Quality Assessment (opens in a new tab)
- Interspeech (T1)Interspeech 2025 URGENT Speech Enhancement Challenge (opens in a new tab)
- ASRULess Is More: Data Curation Matters in Scaling Speech Enhancement (opens in a new tab)
- Interspeech (T1)Lessons Learned from the URGENT 2024 Speech Enhancement Challenge
- Acta AcusticaOnline Generative Speech Enhancement with Diffusion Gradient Guidance (opens in a new tab)
- ASRUPURE Codec: Progressive Unfolding of Residual Entropy for Speech Codec Learning (opens in a new tab)
- ASRUURGENT-PK: Perceptually-Aligned Ranking Model Designed for Speech Enhancement Competition (opens in a new tab)
20245 papers
- Interspeech (T1)Beyond Performance Plateaus: A Comprehensive Study on Scalability in Speech Enhancement (opens in a new tab)
- SLTDiffusion-Based Generative Modeling With Discriminative Guidance for Streamable Speech Enhancement (opens in a new tab)
- ISCSLPInsights from Hyperparameter Scaling of Online Speech Separation
- TASLP (T1)Unified Cross-Modal Attention: Robust Audio-Visual Speech Recognition and Beyond (opens in a new tab)
- Interspeech (T1)URGENT Challenge: Universality, Robustness, and Generalizability For Speech Enhancement (opens in a new tab)
20236 papers
- Interspeech (T1)Adapting Multi-Lingual ASR Models for Handling Multiple Talkers (opens in a new tab)
- ICASSP WorkshopLight-Weight Visualvoice: Neural Network Quantization On Audio Visual Speech Separation (opens in a new tab)
- Interspeech (T1)Overlap-Aware Continuous Speech Separation without Permutation Invariant Training (opens in a new tab)
- ICASSP (T1)Predictive Skim: Contrastive Predictive Coding for Low-Latency Online Speech Separation (opens in a new tab)
- ICASSP (T1)Robust Audio-Visual ASR with Unified Cross-Modal Attention (opens in a new tab)
- ICASSP (T1)Target Sound Extraction with Variable Cross-Modality Clues (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to SJTUFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
Similar labsnearest by research summary
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- HKCUHK
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- USGeorgia Tech
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- USUSC
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