UNSUPERVISED LEARNING ALGORITHM FOR VOWEL TEMPLATES BASED ON MINIMUM QUANTIZATION DISTORTION.

被引：0
|
作者：
Sugiyama, Masahide
Shikano, Kiyohiro
机构：
来源：
Reports of the Electrical Communication Laboratory | 1986年 / 34卷 / 03期
关键词：
MATHEMATICAL TECHNIQUES - Algorithms - SYSTEMS SCIENCE AND CYBERNETICS - Learning Systems;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A new unsupervised learning algorithm is proposed for speaker-independent speech recognition. The algorithm is formulated as a problem involving selection of an optimum vowel template set from pre-stored sets based on minimum quantization distortion. This algorithm has two advantages: learning is unsupervised, and learning and recognition are accomplished simultaneously. To evaluate this algorithm, word recognition experiments focusing upon 100 city names were carried out for 30 males and 20 females.
引用
收藏
页码：357 / 362
相关论文
共 50 条
  • [41] Image Classification Algorithm Based on Proposal Region Clustering Learning-Unsupervised Deep Learning
    Lei Li
    Xiao-li Yin
    Journal of Electrical Engineering & Technology, 2023, 18 : 1337 - 1349
  • [42] A new competitive learning algorithm for vector quantization based on the neuron winning probability
    Xu, Y
    Yan, GQ
    Chen, HX
    Dai, YS
    1997 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT PROCESSING SYSTEMS, VOLS 1 & 2, 1997, : 485 - 488
  • [43] A new algorithm for vector quantization based on the diversity of learning areas of representative vectors
    Yoshizawa, S
    Doki, S
    Okuma, S
    PROGRESS IN CONNECTIONIST-BASED INFORMATION SYSTEMS, VOLS 1 AND 2, 1998, : 229 - 232
  • [44] Remote sensing image classification based on generalized learning vector quantization algorithm
    Shandong Institute of Business and Technology, Yantai 264005, China
    不详
    Dianzi Yu Xinxi Xuebao, 2006, 7 (1201-1203):
  • [45] Analytical derivation of distortion constraints and their verification in a learning vector quantization-based target recognition system
    Iftekharuddin, KM
    Razzaque, MA
    OPTICAL ENGINEERING, 2005, 44 (06) : 1 - 10
  • [46] Unsupervised Learning-Based Spectrum Sensing Algorithm with Defending Adversarial Attacks
    Li, Xinyu
    Dai, Shaogang
    Zhao, Zhijin
    APPLIED SCIENCES-BASEL, 2023, 13 (16):
  • [47] A Novel Fault Location Method for Power Cables Based on an Unsupervised Learning Algorithm
    Li, Mingzhen
    Bu, Jialong
    Song, Yupeng
    Pu, Zhongyi
    Wang, Yuli
    Xie, Cheng
    ENERGIES, 2021, 14 (04)
  • [48] A reduced variance unsupervised ensemble learning algorithm based on modern portfolio theory
    Unlu, Ramazan
    Xanthopoulos, Petros
    EXPERT SYSTEMS WITH APPLICATIONS, 2021, 180
  • [49] Adaptive channel equalization for satellite communications with multipath based on unsupervised learning algorithm
    Li, J
    Liang, QL
    Manry, MT
    PIMRC 2003: 14TH IEEE 2003 INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS PROCEEDINGS, VOLS 1-3 2003, 2003, : 730 - 734
  • [50] Unsupervised Infrared Image and Visible Image Fusion Algorithm Based on Deep Learning
    Chen Guoyang
    Wu Xiaojun
    Xu Tianyang
    LASER & OPTOELECTRONICS PROGRESS, 2022, 59 (04)
12345