156 results on '"Zhong-Qiu, Wang"'
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2. Mixture to Mixture: Leveraging Close-Talk Mixtures as Weak-Supervision for Speech Separation.
3. Magnetic resonance imaging features for differentiating tuberculous from pyogenic spondylitis: a meta-analysis
4. Evolutionary Prompt Design for LLM-Based Post-ASR Error Correction.
5. ctPuLSE: Close-Talk, and Pseudo-Label Based Far-Field, Speech Enhancement.
6. Cross-Talk Reduction.
7. Boosting Unknown-number Speaker Separation with Transformer Decoder-based Attractor.
8. Toward Universal Speech Enhancement For Diverse Input Conditions.
9. A Single Speech Enhancement Model Unifying Dereverberation, Denoising, Speaker Counting, Separation, And Extraction.
10. TF-GRIDNET: Making Time-Frequency Domain Models Great Again for Monaural Speaker Separation.
11. FNeural Speech Enhancement with Very Low Algorithmic Latency and Complexity via Integrated full- and sub-band Modeling.
12. Exploring the Integration of Speech Separation and Recognition with Self-Supervised Learning Representation.
13. TF-GridNet: Integrating Full- and Sub-Band Modeling for Speech Separation.
14. Tackling the Cocktail Fork Problem for Separation and Transcription of Real-World Soundtracks.
15. STFT-Domain Neural Speech Enhancement With Very Low Algorithmic Latency.
16. UNSSOR: Unsupervised Neural Speech Separation by Leveraging Over-determined Training Mixtures.
17. ESPnet-SE++: Speech Enhancement for Robust Speech Recognition, Translation, and Understanding.
18. Localization based Sequential Grouping for Continuous Speech Separation.
19. The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World Soundtracks.
20. Towards Low-Distortion Multi-Channel Speech Enhancement: The ESPNET-Se Submission to the L3DAS22 Challenge.
21. Conditional Diffusion Probabilistic Model for Speech Enhancement.
22. Locate This, Not that: Class-Conditioned Sound Event DOA Estimation.
23. Untargeted metabolomics characterization of the resectable pancreatic ductal adenocarcinoma
24. Multi-Channel Speaker Extraction with Adversarial Training: The Wavlab Submission to The Clarity ICASSP 2023 Grand Challenge.
25. Multi-Channel Target Speaker Extraction with Refinement: The WavLab Submission to the Second Clarity Enhancement Challenge.
26. The CHiME-7 DASR Challenge: Distant Meeting Transcription with Multiple Devices in Diverse Scenarios.
27. The Multimodal Information Based Speech Processing (MISP) 2023 Challenge: Audio-Visual Target Speaker Extraction.
28. Neural Speech Enhancement with Very Low Algorithmic Latency and Complexity via Integrated Full- and Sub-Band Modeling.
29. Improving Frame-Online Neural Speech Enhancement With Overlapped-Frame Prediction.
30. Neural Spectrospatial Filtering.
31. Count And Separate: Incorporating Speaker Counting For Continuous Speaker Separation.
32. Sequential Multi-Frame Neural Beamforming for Speech Separation and Enhancement.
33. Convolutive Prediction for Reverberant Speech Separation.
34. Anomalous Sound Detection Using Attentive Neural Processes.
35. Computed Tomography Features of Adnexal Torsion: A Meta-Analysis
36. Multi-Microphone Complex Spectral Mapping for Speech Dereverberation.
37. On the Compensation Between Magnitude and Phase in Speech Separation.
38. Multi-microphone Complex Spectral Mapping for Utterance-wise and Continuous Speech Separation.
39. Convolutive Prediction for Monaural Speech Dereverberation and Noisy-Reverberant Speaker Separation.
40. Software Design and User Interface of ESPnet-SE++: Speech Enhancement for Robust Speech Processing.
41. STFT-Domain Neural Speech Enhancement with Very Low Algorithmic Latency.
42. Tackling the Cocktail Fork Problem for Separation and Transcription of Real-World Soundtracks.
43. TF-GridNet: Making Time-Frequency Domain Models Great Again for Monaural Speaker Separation.
44. TF-GridNet: Integrating Full- and Sub-Band Modeling for Speech Separation.
45. Magnetic resonance imaging features for differentiating tuberculous from pyogenic spondylitis: a meta-analysis.
46. Deep Learning Based Multi-Channel Speaker Recognition in Noisy and Reverberant Environments.
47. Deep Learning Based Phase Reconstruction for Speaker Separation: A Trigonometric Perspective.
48. Robust Speaker Recognition Based on Single-Channel and Multi-Channel Speech Enhancement.
49. Complex Spectral Mapping for Single- and Multi-Channel Speech Enhancement and Robust ASR.
50. Deep Learning Based Target Cancellation for Speech Dereverberation.
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