Integrating Lattice-Free MMI Into End-to-End Speech Recognition
Author:
Affiliation:
1. Tencent AI Lab, Bellevue, WA, USA
2. Advanced Data and Signal Processing Laboratory, School of Electric and Computer Science, Peking University Shenzhen Graduate School, Shenzhen, China
Funder
Tencent AI Lab Rhino-Bird Focused Research Program
Shenzhen Science & Technology Research Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics
Link
http://xplorestaging.ieee.org/ielx7/6570655/9970249/09855847.pdf?arnumber=9855847
Reference58 articles.
1. Recent Developments on Espnet Toolkit Boosted By Conformer
2. Differentiable weighted finite-state transducers;hannun,2020
3. An Analytic Survey of End-to-End Speech Recognition Systems
4. A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition
5. Connectionist temporal classification
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