Russian Sub-Word Based Speech Recognition Using Pocketsphinx Engine

Sergey Zablotskiy; Maxim Sidorov

Research.Publish.Connect.

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

Russian Sub-Word Based Speech Recognition Using Pocketsphinx Engine

In Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ASAAHMI, 840-844, 2014 , Vienna, Austria

Authors: Sergey Zablotskiy and Maxim Sidorov

Affiliation: Ulm University, Germany

Keyword(s): Russian, LVCSR, Sub-words.

Abstract: Russian is a synthetic language with a large morpheme-per-word ratio and highly inflective nature. These two peculiarities increase the lexicon size for Russian automatic speech recognition (ASR) by tens of times in comparison to that for English covering the same out-of-vocabulary (OOV) rate. The employment of sub-word units is a widely spread state-of-the-art approach to reduce the abundant lexicon and lower the perplexity (PP) of the language model. The choice of sub-word units affects the accuracy of the entire speech recognition system, its performance as well as the complexity of the spoken phrase synthesis. Here, different recognition units are investigated using pocketsphinx-engine while recognizing the vocabulary of several million word forms. A designed text normalization approach is also briefly presented. This rule-based algorithm allows keeping diverse Russian abbreviations and numerals in the language model (LM) and avoiding the statistics distortion. The approach is di rectly applicable and useful for Russian text-to-speech translation as well. (More)

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 3.145.58.169

In the current month:

Recent papers: 100 available of 100 total

2⁺ years older papers: 200 available of 200 total

Paper citation in several formats:

Zablotskiy, S. and Sidorov, M. (2014). Russian Sub-Word Based Speech Recognition Using Pocketsphinx Engine. In Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2014) - Volume 1: ASAAHMI; ISBN 978-989-758-040-6; ISSN 2184-2809, SciTePress, pages 840-844. DOI: 10.5220/0005148008400844

@conference{asaahmi14,
author={Sergey Zablotskiy. and Maxim Sidorov.},
title={Russian Sub-Word Based Speech Recognition Using Pocketsphinx Engine},
booktitle={Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2014) - Volume 1: ASAAHMI},
year={2014},
pages={840-844},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005148008400844},
isbn={978-989-758-040-6},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2014) - Volume 1: ASAAHMI
TI - Russian Sub-Word Based Speech Recognition Using Pocketsphinx Engine
SN - 978-989-758-040-6
IS - 2184-2809
AU - Zablotskiy, S.
AU - Sidorov, M.
PY - 2014
SP - 840
EP - 844
DO - 10.5220/0005148008400844
PB - SciTePress