Personalized speech enhancement: new models and Comprehensive evaluation
Author:
Affiliation:
1. Microsoft, One Microsoft Way,Redmond,WA,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09746962.pdf?arnumber=9746962
Reference28 articles.
1. Single-Channel Multi-Speaker Separation Using Deep Clustering
2. Deep clustering: Discriminative embeddings for segmentation and separation
3. Deep attractor network for single-microphone speaker separation
4. Continuous Speech Separation with Conformer
5. Personalized Speech Enhancement Through Self-Supervised Data Augmentation and Purification
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