COMPARISON OF OPTIMIZATION ALGORITHMS OF CONNECTIONIST TEMPORAL CLASSIFIER FOR SPEECH RECOGNITION SYSTEM
This paper evaluates and compares the performances of three well-known optimization algorithms (Adagrad, Adam, Momentum) for faster training the neural network of CTC algorithm for speech recognition. For CTC algorithms recurrent neural network has been used, specifically Long-Short-Term memory. LST...
Main Authors: | Yedilkhan Amirgaliyev, Kuanyshbay Kuanyshbay, Aisultan Shoiynbek |
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Format: | Article |
Language: | English |
Published: |
Lublin University of Technology
2019-09-01
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Series: | Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska |
Subjects: | |
Online Access: | https://ph.pollub.pl/index.php/iapgos/article/view/234 |
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