UCONV-Conformer: High Reduction of Input Sequence Length for End-to-End Speech Recognition
Author:
Affiliation:
1. ITMO University,St. Petersburg,Russia
2. STC-Innovations Ltd,St. Petersburg,Russia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10095430.pdf?arnumber=10095430
Reference25 articles.
1. Conv-Transformer Transducer: Low Latency, Low Frame Rate, Streamable End-to-End Speech Recognition
2. Transformers are rnns: Fast autoregressive transformers with linear attention;katharopoulos;Proc ICML,2020
3. Connectionist temporal classification
4. Efficient Conformer: Progressive Downsampling and Grouped Attention for Automatic Speech Recognition
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