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Focus on the Sound around You: Monaural Target Speaker Extraction via Distance and Speaker Information
- Publication Year :
- 2023
-
Abstract
- Previously, Target Speaker Extraction (TSE) has yielded outstanding performance in certain application scenarios for speech enhancement and source separation. However, obtaining auxiliary speaker-related information is still challenging in noisy environments with significant reverberation. inspired by the recently proposed distance-based sound separation, we propose the near sound (NS) extractor, which leverages distance information for TSE to reliably extract speaker information without requiring previous speaker enrolment, called speaker embedding self-enrollment (SESE). Full- & sub-band modeling is introduced to enhance our NS-Extractor's adaptability towards environments with significant reverberation. Experimental results on several cross-datasets demonstrate the effectiveness of our improvements and the excellent performance of our proposed NS-Extractor in different application scenarios.<br />Comment: Proc. INTERSPEECH 2023, 2488-2492, doi: 10.21437/Interspeech.2023-218
Details
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.2306.16241
- Document Type :
- Working Paper