Neural Network Based Carrier Frequency Offset Estimation From Speech Transmitted Over High Frequency Channels
Author:
Affiliation:
1. Paderborn University,Department of Communications Engineering,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9908519/9909515/09909971.pdf?arnumber=9909971
Reference18 articles.
1. Improving Noise Robust Automatic Speech Recognition with Single-Channel Time-Domain Enhancement Network
2. Batch normalization: Accelerating deep network training by reducing internal covariate shift;ioffe;CoRR,2015
3. Librispeech: An ASR corpus based on public domain audio books
4. TasNet: Surpassing ideal time-frequency masking for speech separation;luo;CoRR,2018
5. Perceptual evaluation of speech quality (PESQ)-a new method for speech quality assessment of telephone networks and codecs
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1. Analyzing the Impact of HF-Specific Signal Degradation on Automatic Speech Recognition;2024 International Conference on Military Communication and Information Systems (ICMCIS);2024-04-23
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