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Speech Recognition Systems: A Comparative Review

Rami Matarneh, Svitlana Maksymova, Vyacheslav Lyashenko, N. Belova

Year
2017
Citations
38

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.

Keywords

SphinxComputer scienceOpen sourceSpeech recognitionSoftwareSpeaker recognitionSource codeOpen source softwareNatural language processingProgramming language

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