Wangyou Zhang
助理教授
Works on speech signal processing, robust speech recognition and self-supervised speech pre-training.
Wangyou Zhang's lab at SJTU works on speech recognition & spoken language, speech enhancement & signal processing and generative & foundation models. 36 papers since 2023, 18 at top venues, mostly ASRU and Interspeech. Applications close .
At a glance
- papers, 2023–2026
- 9/ year
- at T1 venues
- 50%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 3 papers2026 · T1 3 · collecting
- 16 papers2025 · T1 7
- 8 papers2024 · T1 6
- 9 papers2023 · T1 2
T1 venuesOtherVenues: ASRU, Interspeech, ICASSP, EMNLP, NAACL
Research focuspaper titles that use each topic's words
- Speech enhancement & signal processing33 papers
- Speech recognition & spoken language32 papers
- speech32 papers
- Generative & foundation models3 papers
- self-supervised speech0 papers
Paper list
From the lab homepage.
20263 papers
- ICASSP (T1)2025 URGENT Speech Enhancement Challenge Multilingual P.808 Listening Tests: Approach and Results
- ICASSP (T1)ICASSP 2026 URGENT Speech Enhancement Challenge
- ICASSP (T1)MeanSE: Efficient Generative Speech Enhancement with Mean Flows
202516 papers
- ICASSP (T1)Advanced Zero-Shot Text-to-Speech for Background Removal and Preservation with Controllable Masked Speech Prediction
- CSLAn End-to-End Integration of Speech Separation and Recognition With Self-Supervised Learning Representation
- Interspeech (T1)BR-ASR: Efficient and Scalable Bias Retrieval Framework for Contextual Biasing ASR in Speech LLM
- npj-AcousticsContextual Understanding With Contextual Embeddings for Multi-Talker Speech Separation and Recognition in a Cocktail Party
- ASRUImproving Speech Enhancement with Multi-Metric Supervision from Learned Quality Assessment
- Interspeech (T1)Interspeech 2025 URGENT Speech Enhancement Challenge
- ASRULess is More: Data Curation Matters in Scaling Speech Enhancement
- Interspeech (T1)Lessons Learned from the URGENT 2024 Speech Enhancement Challenge
- ASRUPURE Codec: Progressive Unfolding of Residual Entropy for Speech Codec Learning
- Interspeech (T1)Ranking and Selection of Bias Words for Contextual Bias Speech Recognition
- OJSPSpoofCeleb: Speech Deepfake Detection and SASV in the Wild
- Interspeech (T1)The Text-to-speech in the Wild (TITW) Database
20248 papers
- Interspeech (T1)Beyond Performance Plateaus: A Comprehensive Study on Scalability in Speech Enhancement
- Interspeech (T1)ESPnet-SPK: Full Pipeline Speaker Embedding Toolkit With Reproducible Recipes, Self-Supervised Front-Ends, and off-the-Shelf Models
- ICASSP (T1)Generation-Based Target Speech Extraction with Speech Discretization and Vocoder
- ICASSP (T1)Improving Design of Input Condition Invariant Speech Enhancement Models
- ISCSLPInsights from Hyperparameter Scaling of Online Speech Separation
- SPMModule-Based End-to-End Distant Speech Processing: A Case Study of Far-Field Automatic Speech Recognition
- EMNLP (T1)Towards Robust Speech Representation Learning for Thousands of Languages (Best Paper Award)
- Interspeech (T1)URGENT Challenge: Universality, Robustness, and Generalizability For Speech Enhancement
20239 papers
- ASRUA Single Speech Enhancement Model Unifying Dereverberation, Denoising, Speaker Counting, Separation, and Extraction
- WASPAAExploring the Integration of Speech Separation and Recognition with SelfSupervised Learning Representation
- ASRUExploring Time-Frequency Domain Target Speaker Extraction For Causal and Non-Causal Processing
- ASRUJoint Prediction and Denoising for Large-Scale Multilingual Self-Supervised Learning
- Interspeech (T1)Overlap Aware Continuous Speech Separation without Permutation Invariant Training
- ASRUReproducing Whisper-Style Training Using an Open-Source Toolkit and Publicly Available Data
- ASRUToward Universal Speech Enhancement For Diverse Input Conditions
- Applied SciencesTwo-Stage Single-Channel Speech Enhancement with Multi-Frame Filtering
- Interspeech (T1)Weakly-Supervised Speech Pre-training: A Case Study on Target Speech Recognition
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.
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Data
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