Interactive Feature Fusion for End-to-End Noise-Robust Speech Recognition
Author:
Affiliation:
1. Nanyang Technological University,School of Computer Science and Engineering,Singapore
Funder
National Research Foundation Singapore
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09746314.pdf?arnumber=9746314
Reference26 articles.
1. SPEECH ENHANCEMENT FOR ROBUST SPEECH RECOGNITION IN MOTORCYCLE ENVIRONMENT
2. Reasons why Current Speech-Enhancement Algorithms do not Improve Speech Intelligibility and Suggested Solutions
3. Bridging the Gap Between Monaural Speech Enhancement and Recognition With Distortion-Independent Acoustic Modeling
4. Speech Enhancement Using End-to-End Speech Recognition Objectives
5. Jointly Adversarial Enhancement Training for Robust End-to-End Speech Recognition
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