EVALUATION OF SOFTWARE TOOLS FOR SPEECH PROCESSING AND RECOGNITION
DOI:
https://doi.org/10.24867/12BE33SuvajdzicKeywords:
Software tool, speech processing, speech recognitionAbstract
This paper presents some of the branches of artificial intelligence, such as machine learning, neural networks and natural language processing, which are related to the field of speech recognition. A detailed description of the structure and functioning of the speech recognition system is given. The SpeechRecognition library was presented, through which the application of 3 currently most popular speech recognition services was performed. Their detailed analysis and evaluation according to the given criteria was done, on the basis of which conclusions were made about how suitable each of them is for use.
References
[1] U. Kamath, J. Liu, J. Whitaker, Deep Learning for NLP and Speech Recognition. Switzerland: Springer International Publishing. 2019. [Преузето: 1.09.2020]
[2] S. Sen, A. Dutta,N. Dey, Audio Processing and Speech Recognition. Singapore: Springer. 2019. [Преузето: 1.09.2020]
[3] J. Holmes, W. Holmes, Speech Syntesis and Recognition. New York: Taylor & Francis. 2003. [Преузето: 1.09.2020]
[4] “The Ultimate Guide To Speech Recognition With Python” https://realpython.com/python-speech-recognition/#recap-and-additional-resources. Приступљено октобра 2020
[2] S. Sen, A. Dutta,N. Dey, Audio Processing and Speech Recognition. Singapore: Springer. 2019. [Преузето: 1.09.2020]
[3] J. Holmes, W. Holmes, Speech Syntesis and Recognition. New York: Taylor & Francis. 2003. [Преузето: 1.09.2020]
[4] “The Ultimate Guide To Speech Recognition With Python” https://realpython.com/python-speech-recognition/#recap-and-additional-resources. Приступљено октобра 2020
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Published
2021-03-09
Issue
Section
Electrotechnical and Computer Engineering
