Reverberation as Supervision For Speech Separation
Author:
Affiliation:
1. Mitsubishi Electric Research Laboratories (MERL),Cambridge,MA,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10095022.pdf?arnumber=10095022
Reference30 articles.
1. End-to-End Multi-Speaker Speech Recognition
2. Integration of Speech Separation, Diarization, and Recognition for Multi-Speaker Meetings: System Description, Comparison, and Analysis
3. Unsupervised sound separation using mixture invariant training;wisdom;Proc NeurIPS,2020
4. Far-Field Automatic Speech Recognition
5. An Algorithm for Intelligibility Prediction of Time–Frequency Weighted Noisy Speech
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1. Mixture to Mixture: Leveraging Close-Talk Mixtures as Weak-Supervision for Speech Separation;IEEE Signal Processing Letters;2024
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