Speaker-Independent Vowel Recognition for Malay Children Using Time-Delay Neural Network

被引：0
|
作者：
Yong, B. F. [1 ]
Ting, H. N. [1 ]
机构：
[1] Univ Malaya, Fac Engn, Dept Biomed Engn, Kuala Lumpur 50603, Malaysia
来源：
5TH KUALA LUMPUR INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING 2011 (BIOMED 2011) | 2011年 / 35卷
关键词：
Malay Vowel Recognition; Time Delay Neural Network; Automatic Speech Recognition; Children Speech; SPEECH RECOGNITION; VARIABILITY;
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
This paper investigated the speaker independent vowel recognition for Malay children using the Time Delay Neural Network (TDNN). Due to less research done on the children speech recognition, the temporal structure of the children speech was not fully understood. This 2 hidden layers TDNN was proposed to discriminate 6 Malay vowels: /a/, /e/, /a/, /i/, /o/ and /u/. The speech database consisted of vowel sounds from 360 children speakers. Cepstral coefficient was normalized for the input of TDNN. The frame rate of the TDNN was tested with 10ms, 20ms, and 30ms. It was found out that the 30ms frame rate produced the highest vowel recognition accuracy with 81.92%. The TDNN also showed higher speech recognition rate compared to the previous studies that used Multi layer Perceptron.
引用
收藏
页码：565 / 568
页数：4
相关论文
共 50 条
  • [31] Dysarthric Speech Recognition using Time-delay Neural Network based Denoising Autoencoder
    Bhat, Chitralekha
    Das, Biswajit
    Vachhani, Bhavik
    Kopparapu, Sunil Kumar
    [J]. 19TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2018), VOLS 1-6: SPEECH RESEARCH FOR EMERGING MARKETS IN MULTILINGUAL SOCIETIES, 2018, : 451 - 455
  • [32] Automatic Recognition of Pitch Accent Using Distributed Time-Delay Recursive Neural Network
    Kim, Sung-Suk
    [J]. JOURNAL OF THE ACOUSTICAL SOCIETY OF KOREA, 2006, 25 (06): : 277 - 281
  • [33] Recognition of seed varieties using a time-delay neural network: analysis of electrophoretic images
    Jedra, M
    El Khattabi, N
    Limouri, M
    Essaid, A
    [J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE, 1999, 22 (01) : 1 - 10
  • [34] Speaker-independent speech recognition by means of functional-link neural networks
    Ugena, A
    de Arriaga, F
    El Alami, M
    [J]. 15TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 2, PROCEEDINGS: PATTERN RECOGNITION AND NEURAL NETWORKS, 2000, : 1018 - 1021
  • [35] Compact modular neural networks in a hybrid speaker-independent speech recognition system
    Glaeser, A
    [J]. ICNN - 1996 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS, VOLS. 1-4, 1996, : 1895 - 1899
  • [36] Speaker-independent recognition of isolated voice commands using auditory models
    Kolokolev, AS
    Yakhno, VP
    [J]. AUTOMATION AND REMOTE CONTROL, 1995, 56 (08) : 1176 - 1182
  • [37] Speaker-Independent Isolated Digit Recognition using an AER Silicon Cochlea
    Abdollahi, Mohammad
    Liu, Shih-Chii
    [J]. 2011 IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE (BIOCAS), 2011, : 269 - 272
  • [38] SPEAKER-INDEPENDENT WORD RECOGNITION USING FUZZY PATTERN-MATCHING
    FUJIMOTO, J
    NAKATANI, T
    YONEYAMA, M
    [J]. FUZZY SETS AND SYSTEMS, 1989, 32 (02) : 181 - 191
  • [39] AUTOMATIC RECOGNITION OF SPOKEN SPELLED NAMES USING SPEAKER-INDEPENDENT TEMPLATES
    ROSENBERG, AE
    RABINER, LR
    WILPON, JG
    [J]. JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 1978, 64 : S181 - S182
  • [40] Speaker identification using time-delay HMEs
    Chen, K
    Xie, DH
    Chi, HS
    [J]. INTERNATIONAL JOURNAL OF NEURAL SYSTEMS, 1996, 7 (01) : 29 - 43
12345