Please use this identifier to cite or link to this item: http://openarchive.nure.ua/handle/document/6388
Title: Speech Recognition Systems: A Comparative Review
Authors: Matarneh, R.
Maksymova, S.
Lyashenko, V.
Belova, N.
Keywords: Robot
Speech recognition
Issue Date: 2017
Publisher: IOSR
Citation: Matarneh R., Maksymova S., Lyashenko V., Belova, N. Speech Recognition Systems: A Comparative Review // Journal of Computer Engineering (IOSR-JCE). – 2017. – Vol. 19(5). – P. 71–79.
Abstract: Creating voice control for robots is very important and difficult task. Therefore, we consider different systems of speech recognition. We divided them into two main classes: (1) open -source and (2) close-source code. As close-source software the following were selected: Dragon Mobile SDK, Google Speech Recognition API, Siri, Yandex SpeechKit and Microsoft Speech API. While the following were selected as open-source software: CMU Sphinx, Kaldi, Julius, HTK, iAtros, RWTH ASR and Simon. The comparison mainly based on accuracy, API, performance, speed in real-time, response time and compatibility. the variety of comparison axes allow us to make detailed description of the differences and similarities, which in turn enabled us to adopt a careful decision to choose the appropriate system depending on our need.
URI: http://openarchive.nure.ua/handle/document/6388
ISSN: 2278-8727
Appears in Collections:Кафедра інформатики (ІНФ)

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