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Optimization of Speech Enhancement Front-End with Speech Recognition-Level Criterion.

, , and . INTERSPEECH, page 3808-3812. ISCA, (2016)

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Target Speaker Voice Activity Detection with Transformers and Its Integration with End-to-End Neural Diarization., , , , and . CoRR, (2022)Cracking the cocktail party problem by multi-beam deep attractor network., , , , , , and . CoRR, (2018)Vararray Meets T-Sot: Advancing the State of the Art of Streaming Distant Conversational Speech Recognition., , , , , and . ICASSP, page 1-5. IEEE, (2023)Real-Time Target Sound Extraction., , , , , and . ICASSP, page 1-5. IEEE, (2023)Transcribe-to-Diarize: Neural Speaker Diarization for Unlimited Number of Speakers Using End-to-End Speaker-Attributed ASR., , , , , , and . ICASSP, page 8082-8086. IEEE, (2022)Icassp 2022 Deep Noise Suppression Challenge., , , , , , , , , and 1 other author(s). ICASSP, page 9271-9275. IEEE, (2022)A Comparative Study of Modular and Joint Approaches for Speaker-Attributed ASR on Monaural Long-Form Audio., , , , , , , , and . ASRU, page 296-303. IEEE, (2021)MFCC enhancement using joint corrupted and noise feature space for highly non-stationary noise environments., , , , and . ICASSP, page 4109-4112. IEEE, (2012)Noisy speech enhancement based on prior knowledge about spectral envelope and harmonic structure., , and . ICASSP, page 4270-4273. IEEE, (2010)Speech enhancement based on log spectral envelope model and harmonicity-derived spectral mask, and its coupling with feature compensation., and . ICASSP, page 5064-5067. IEEE, (2011)