Investigation Of Data Augmentation Techniques For Bi-LSTM Based Direct Speech To Speech Translation
Author:
Affiliation:
1. Indian Institute of Technology Dharwad,Department of Electrical Engineering,Dharwad,India,580011
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10067865/10067872/10067896.pdf?arnumber=10067896
Reference29 articles.
1. ATR's speech translation system: ASURA
2. Noise injection into inputs in back-propagation learning
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4. Hindi-English speech-to-speech translation system for travel expressions
5. End-to-End Speech Translation with Knowledge Distillation
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Comparative Analysis of Direct Speech-to-Speech Translation and Voice Conversion Using Bi-LSTM;2023 26th Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (O-COCOSDA);2023-12-04
2. Analyzing the Benefits of Data Augmentation for Smart Grid Anomaly Detection and Forecasting;2023 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE);2023-09-24
3. Direct Vs Cascaded Speech-to-Speech Translation Using Transformer;Speech and Computer;2023
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