A Russian Keyword Spotting System Based on Large Vocabulary Continuous Speech Recognition and Linguistic Knowledge-Reference-Cited by-同舟云学术

A Russian Keyword Spotting System Based on Large Vocabulary Continuous Speech Recognition and Linguistic Knowledge

Published:2016 Issue: Volume:2016 Page:1-9
ISSN:2090-0147
Container-title:Journal of Electrical and Computer Engineering
language:en
Short-container-title:Journal of Electrical and Computer Engineering

Author:

Smirnov Valentin¹^ORCID,Ignatov Dmitry¹,Gusev Michael¹,Farkhadov Mais²^ORCID,Rumyantseva Natalia³,Farkhadova Mukhabbat³

Affiliation:

1. Speech Drive LLC, Saint Petersburg, Russia

2. V.A. Trapeznikov Institute of Control Sciences of RAS, Moscow, Russia

3. RUDN University, Moscow, Russia

Abstract

The paper describes the key concepts of a word spotting system for Russian based on large vocabulary continuous speech recognition. Key algorithms and system settings are described, including the pronunciation variation algorithm, and the experimental results on the real-life telecom data are provided. The description of system architecture and the user interface is provided. The system is based on CMU Sphinx open-source speech recognition platform and on the linguistic models and algorithms developed by Speech Drive LLC. The effective combination of baseline statistic methods, real-world training data, and the intensive use of linguistic knowledge led to a quality result applicable to industrial use.

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,General Computer Science,Signal Processing

Link

http://downloads.hindawi.com/journals/jece/2016/4062786.pdf

Reference16 articles.

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