Embedding speech recognition tools for custom software: Engines Overview
Date
2018-06-25
Journal Title
Journal ISSN
Volume Title
Publisher
Lviv Polytechnic National University
Abstract
Different solutions and tools for speech recognition are now
available. Nevertheless, implementation of natural language processing still
remains a current problem. Developing any custom software with a good style
of UI/UX requires the integration of speech recognition. Evidently, the most
common solution is to use some engine as an embedded standard tool. Here in
the paper we are presenting an overview and an analysis of some popular
speech recognition engines: Google Speech Recognition API, Microsoft Speech
API, Yandex Speech Kit and Julius. These speech recognition tools are a readyto-
serve and suitable to supplement your own software with a reliable voice
command detection or voice control feature. The results of our analysis comes
from an experiment of voice recognition using these tools as an embedded
component in a custom software.
Description
Keywords
speech recognition, speech engine, API, voice command detection, voice control, Google, Microsoft, Yandex, Julius, overview and analysis
Citation
Dovbysh A. Embedding speech recognition tools for custom software: Engines Overview / Arthur Dovbysh, Vladyslav Alieksieiev // Computational linguistics and intelligent systems, 25-27 June 2018. — Lviv : Lviv Polytechnic National University, 2018. — Vol 2 : Workshop. — P. 114–121. — (Part 2. Workshop conference tracks. Section I. Computational Linguistics).