COMPARISON OF OPTIMIZATION ALGORITHMS OF CONNECTIONIST TEMPORAL CLASSIFIER FOR SPEECH RECOGNITION SYSTEM

Yedilkhan Amirgaliyev

amir_ed@mail.ru
1 Institute Information and Computational Technologies CS MES RK, Almaty, Kazakhstan, 2 Suleyman Demirel University, Almaty, Kazakhstan (Kazakhstan)
http://orcid.org/0000-0002-6528-0619

Kuanyshbay Kuanyshbay


1 Institute Information and Computational Technologies CS MES RK, Almaty, Kazakhstan, 2 Suleyman Demirel University, Almaty, Kazakhstan (Kazakhstan)
http://orcid.org/0000-0001-5952-8609

Aisultan Shoiynbek


1 Institute Information and Computational Technologies CS MES RK, Almaty, Kazakhstan, 2 Suleyman Demirel University, Almaty, Kazakhstan (Kazakhstan)
http://orcid.org/0000-0002-9328-8300

Abstract

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. LSTM is effective and often used model. Data has been downloaded from VCTK corpus of Edinburgh University. The results of optimization algorithms have been evaluated by the Label error rate and CTC loss.


Keywords:

recurrent neural network, search methods, acoustic, systems modeling language

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Published
2019-09-26

Cited by

Amirgaliyev, Y., Kuanyshbay, K., & Shoiynbek, A. (2019). COMPARISON OF OPTIMIZATION ALGORITHMS OF CONNECTIONIST TEMPORAL CLASSIFIER FOR SPEECH RECOGNITION SYSTEM . Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 9(3), 54–57. https://doi.org/10.35784/iapgos.234

Authors

Yedilkhan Amirgaliyev 
amir_ed@mail.ru
1 Institute Information and Computational Technologies CS MES RK, Almaty, Kazakhstan, 2 Suleyman Demirel University, Almaty, Kazakhstan Kazakhstan
http://orcid.org/0000-0002-6528-0619

Authors

Kuanyshbay Kuanyshbay 

1 Institute Information and Computational Technologies CS MES RK, Almaty, Kazakhstan, 2 Suleyman Demirel University, Almaty, Kazakhstan Kazakhstan
http://orcid.org/0000-0001-5952-8609

Authors

Aisultan Shoiynbek 

1 Institute Information and Computational Technologies CS MES RK, Almaty, Kazakhstan, 2 Suleyman Demirel University, Almaty, Kazakhstan Kazakhstan
http://orcid.org/0000-0002-9328-8300

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