LANGUAGE IDENTIFICATION OF INDIVIDUAL WORDS IN A MULTILINGUAL AUTOMATIC SPEECH RECOGNITION SYSTEM

被引：2
|
作者：
Hategan, Andrea [1 ]
Barliga, Bogdan [2 ]
Tabus, Ioan [1 ]
机构：
[1] Tampere Univ Technol, FIN-33101 Tampere, Finland
[2] Nokia Device, Tampere, Finland
来源：
2009 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1- 8, PROCEEDINGS | 2009年
基金：
芬兰科学院;
关键词：
Pattern classification; data compression;
D O I：
10.1109/ICASSP.2009.4960594
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
This paper presents a new algorithm for identifying the language of words in a multilingual automatic speech recognition system. The new algorithm uses as input written words and it is composed of a method for language modelling and a method to select the language of a given word based on the available models. We also present two selection rules for the model's parameters. One of the rules uses a free parameter that, controls the accuracy of the resulted model, as well as its size. On average, the classification accuracy of the new algorithm is above 70% for the first best and above 80% for the first two best.
引用
收藏
页码：4357 / +
页数：2
相关论文
共 50 条
  • [21] Grammar based automatic speech recognition system for the Polish language
    Korzinek, Danijel
    Brocki, Lukasz
    [J]. RECENT ADVANCES IN MECHATRONICS, 2007, : 87 - +
  • [22] Detection of confusable words in automatic speech recognition
    Anguita, J
    Hernando, J
    Peillon, S
    Bramoullé, A
    [J]. IEEE SIGNAL PROCESSING LETTERS, 2005, 12 (08) : 585 - 588
  • [23] Dealing with Unexpected Words in Automatic Recognition of Speech
    Hermansky, Hynek
    [J]. TEXT, SPEECH AND DIALOGUE, TSD 2011, 2011, 6836 : 1 - 15
  • [24] Automatic language identification using large vocabulary continuous speech recognition
    Mendoza, S
    Gillick, L
    Ito, Y
    Lowe, S
    Newmann, M
    [J]. 1996 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, CONFERENCE PROCEEDINGS, VOLS 1-6, 1996, : 785 - 788
  • [25] Speech Command Classification System for Sinhala Language based on Automatic Speech Recognition
    Dinushika, Thilini
    Kavmini, Lakshika
    Abeyawardhana, Pamoda
    Thayasivam, Uthayasanker
    Jayasena, Sanath
    [J]. PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON ASIAN LANGUAGE PROCESSING (IALP), 2019, : 205 - 210
  • [26] gram Approximation of Latent Words Language Models for Domain Robust Automatic Speech Recognition
    Masumura, Ryo
    Asami, Taichi
    Oba, Takanobu
    Masataki, Hirokazu
    Sakauchi, Sumitaka
    Takahashi, Satoshi
    [J]. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2016, E99D (10): : 2462 - 2470
  • [27] Domain Adaptation Based on Mixture of Latent Words Language Models for Automatic Speech Recognition
    Masumura, Ryo
    Asami, Taichi
    Oba, Takanobu
    Masataki, Hirokazu
    Sakauchi, Sumitaka
    Ito, Akinori
    [J]. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2018, E101D (06): : 1581 - 1590
  • [28] NEURAL CODES TO FACTOR LANGUAGE IN MULTILINGUAL SPEECH RECOGNITION
    Mueller, Markus
    Stueker, Sebastian
    Waibel, Alex
    [J]. 2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2019, : 8638 - 8642
  • [29] A Computer-Assisted Interpreting System for Multilingual Conferences Based on Automatic Speech Recognition
    Liu, Jichao
    Liu, Chengpan
    Shan, Buzheng
    Ganiyusufoglu, Omer S.
    [J]. IEEE ACCESS, 2024, 12 : 67498 - 67511
  • [30] AUTOMATIC DETECTION OF NEW WORDS IN A LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION SYSTEM
    ASADI, A
    SCHWARTZ, R
    MAKHOUL, J
    [J]. SPEECH AND NATURAL LANGUAGE, 1989, : 263 - 265
12345