Yanmin Qian
Distinguished Professor
Works on speech recognition, speaker recognition, speech separation and auditory AI.
Yanmin Qian's lab at SJTU works on speech recognition & spoken language, music, audio & sound and recognition, detection & segmentation. 139 papers since 2023, 85 at top venues, mostly Interspeech and ICASSP. 6 PhD students and 5 master's students. 11 alumni. Applications close .
At a glance
- papers, 2023–2026
- 36/ year
- at T1 venues
- 61%
- PhD students
- 6
- MS students
- 5
- alumni listed
- 11
Papers by yearfrom the lab homepage, 2023–2026
- 19 papers2026 · T1 17 · collecting
- 41 papers2025 · T1 21
- 41 papers2024 · T1 20
- 38 papers2023 · T1 27
T1 venuesOtherVenues: Interspeech, ICASSP, ASRU, NeurIPS, SLT
Research focuspaper titles that use each topic's words
- Speech recognition & spoken language89 papers
- speech73 papers
- Recognition, detection & segmentation29 papers
- speaker29 papers
- Music, audio & sound16 papers
Paper list
From the lab homepage.
202619 papers
- ICASSP (T1)2025 URGENT Speech Enhancement Challenge Multilingual P.808 Listening Tests: Approach and Results
- ACL (T1)A Data-Centric Approach to Generalizable Speech Deepfake Detection (opens in a new tab)
- CSLAn End-to-end Integration of Speech Separation and Recognition with Self- Supervised Learning Representation (opens in a new tab)
- ACL (T1)Beyond Sentence-level Labels: Integrating Conversational Context and Personal Experience for Natural Emotional Expression
- Interspeech (T1)Bridging Speech Separation and Target Speech Extraction: A Universal Model with Encoder-Decoder Attractors
- Interspeech (T1)ContextSpeech: A Large-Scale Real-Human Speech Corpus with Context-Aware Descriptions
- Interspeech (T1)Datasets and Learnings in the 2024 URGENT Speech Enhancement Challenge
- Interspeech (T1)Efficient Online Diffusion-based Models for Speech Enhancement
- ICASSP (T1)Localizing Speech Deepfakes Beyond Transitions via Segment- aware Learning (opens in a new tab)
- ICASSP (T1)MEANSE: Efficient Generative Speech Enhancement with Mean Flows (opens in a new tab)
- T-ASLPMemory-Efficient Training for Deep Speaker Embedding Learning in Speaker Verification (opens in a new tab)
- Interspeech (T1)NISE: Noise-Injected Speech Enhancement
202541 papers
- ICASSP (T1)Advanced Zero-Shot Text-to-Speech for Background Removal and Preservation with Controllable Masked Speech Prediction (opens in a new tab)
- ASRUAdvancing Controllable Music Generation with Latent Rectified Flow Guided by Rhythm and Harmony
- ICASSP (T1)Advancing Non-intrusive Suppression on Enhancement Distortion for Noise Robust ASR (opens in a new tab)
- Interspeech (T1)BR-ASR: Efficient and Scalable Bias Retrieval Framework for Contextual Biasing ASR in Speech LLM (opens in a new tab)
- npj AcousticsContextual Understanding with Contextual Embeddings for Multi-talker Speech Separation and Recognition in A Cocktail Party
- NeurIPS (T1)CoVoMix2: Advancing Zero-Shot Dialogue Generation with Fully Non-Autoregressive Flow Matching (opens in a new tab)
- ICASSP (T1)Data-Efficient Low-Complexity Acoustic Scene Classification via Distilling and Progressive Pruning (opens in a new tab)
- NeurIPS (T1)DenoiseRotator: Enhance Pruning Robustness for LLMs via Importance Concentration (opens in a new tab)
- Interspeech (T1)E2E-BPVC: End-to-End Background-Preserving Voice Conversion via In-Context Learning (opens in a new tab)
- Interspeech (T1)Efficient Multilingual ASR Finetuning via LoRA Language Experts (opens in a new tab)
- ICASSP (T1)Efficient Pruning for Large-Scale Seq2Seq Speech Models without Back- Propagation (opens in a new tab)
- T-ASLPExploring Self-Supervised Audio Models for Generalized Anomalous Sound Detection (opens in a new tab)
202441 papers
- T-ASLPAdvanced Long-Content Speech Recognition with Factorized Neural Transducer (opens in a new tab)
- Speech Communication (T1)Advancing Speaker Embedding Learning: Wespeaker Toolkit for Research and Production
- Interspeech (T1)AnoPatch: Towards Better Consistency in Machine Anomalous Sound Detection (opens in a new tab)
- T-ASLPAttention-Based Encoder-Decoder End-to-End Neural Diarization With Embedding Enhancer (opens in a new tab)
- ISCSLPBand-wise Front-end Distortion Suppression for Robust Speech Recognition (opens in a new tab)
- Interspeech (T1)Beyond Performance Plateaus: A Comprehensive Study on Scalability in Speech Enhancement (opens in a new tab)
- ISCSLPCombining the Self-supervised Learning and Adversarial Training based Domain Adaptation for Speaker Verification
- ISCSLPConMamba: A Convolution-Augmented Mamba Encoder Model for Efficient End-to-End ASR Systems (opens in a new tab)
- Interspeech (T1)Contextual Biasing Speech Recognition in Speech-based Large Language Model
- NeurIPS (T1)CoVoMix: Advancing Zero-Shot Speech Generation for Human-like Multi-talker Conversations (opens in a new tab)
- SLTDDTSE: Discriminative Diffusion Model for Target Speech Extraction (opens in a new tab)
- SLTDiffusion-based Generative Modeling with Discriminative Guidance for Streamable Speech Enhancement (opens in a new tab)
202338 papers
- Interspeech (T1)Adapting Multi-Lingual ASR Models for Handling Multiple Talkers (opens in a new tab)
- NCMMSCAdaptive Alignment for Audio-Visual Speech Separation
- ICASSP (T1)Adaptive Large Margin Fine-tuning for Robust Speaker Verification (opens in a new tab)
- Interspeech (T1)Adaptive Neural Network Quantization for Lightweight Speaker Verification (opens in a new tab)
- Interspeech (T1)Attention-based Encoder-Decoder Network for End-to-End Neural Speaker Diarization with Target Speaker Attractor (opens in a new tab)
- Interspeech (T1)Build A SRE Challenge System: Lessons From VOXSRC 2022 and CNSRC 2022 (opens in a new tab)
- ICASSP (T1)Code-Switching Text Generation and Injection in Mandarin-English ASR (opens in a new tab)
- NeurIPS (T1)ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text Translation
- T-ASLPDepth-First Neural Architecture with Attentive Feature Fusion for Efficient Speaker Verification (opens in a new tab)
- Interspeech (T1)ECAPA++: Fine-Grained Deep Embedding Learning for TDNN based Speaker Verification (opens in a new tab)
- ASRUEfficient Text-Only Domain Adaptation for CTC-based ASR (opens in a new tab)
- ICASSP (T1)Exploring Binary Classification Loss for Speaker Verification (opens in a new tab)
Where alumni went11 listed
Apply to SJTUFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
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- Fee
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Not yet confirmed for this intake.
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