A System of Automatic Speech Recognition based on the Technique of Temporal Retiming

被引:0
|
作者
Abdelhamid, Samir [1 ]
Bouguechal, Noureddine [2 ]
机构
[1] Univ BATNA, Inst Comp Sci, Batna 05000, Algeria
[2] Univ Batna, Inst Elect, Batna, Algeria
关键词
Continuous speech recognition; temporal retiming; phonetic decoding; algorithms; vocal signal; dynamic programming;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
We report in this paper the procedure of a system of automatic speech recognition based on techniques of the dynamic programming. The technique of temporal retiming is a technique used to synchronize between two forms to compare. We will see how this technique is adapted to the field of the automatic speech recognition. We will expose, in a first place, the theory of the function of retiming which is used to compare and to adjust an unknown form with a whole of forms of reference constituting the vocabulary of the application. Then we will give, in the second place, the various algorithms necessary to their implementation on machine. The algorithms which we will present were tested on part of the corpus of words in Arab language Arabdic-10 [4] and gave whole satisfaction. These algorithms are effective insofar as we apply them to the small ones or average vocabularies. https://www.waset.org/Publications?q=+A+System+of+Automatic+Speech+Recognition+based+on+the+Technique+of+Temporal+Retiming&search=Search
引用
收藏
页码:259 / +
页数:2
相关论文
共 50 条
  • [41] Automatic Detection Technique for Speech Recognition based on Neural Networks Inter-Disciplinary
    Al-Rababah, Mohamad A. A.
    Al-Marghilani, Abdusamad
    Hamarshi, Akram Aref
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2018, 9 (03) : 179 - 184
  • [42] A Front-End Technique for Automatic Noisy Speech Recognition
    Naing, Hay Mar Soe
    Hidayat, Risanuri
    Hartanto, Rudy
    Miyanaga, Yoshikazu
    PROCEEDINGS OF 2020 23RD CONFERENCE OF THE ORIENTAL COCOSDA INTERNATIONAL COMMITTEE FOR THE CO-ORDINATION AND STANDARDISATION OF SPEECH DATABASES AND ASSESSMENT TECHNIQUES (ORIENTAL-COCOSDA 2020), 2020, : 49 - 54
  • [43] AN UNSUPERVISED VOCABULARY SELECTION TECHNIQUE FOR CHINESE AUTOMATIC SPEECH RECOGNITION
    Zhang, Yike
    Zhang, Pengyuan
    Li, Ta
    Yan, Yonghong
    2016 IEEE WORKSHOP ON SPOKEN LANGUAGE TECHNOLOGY (SLT 2016), 2016, : 420 - 425
  • [44] Automatic Speech Recognition Based on Electromyographic Biosignals
    Jou, Szu-Chen Stan
    Schultz, Tanja
    BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES, 2008, 25 : 305 - 320
  • [45] A Study on Detection Based Automatic Speech Recognition
    Ma, Chengyuan
    Tsao, Yu
    Lee, Chin-Hui
    INTERSPEECH 2006 AND 9TH INTERNATIONAL CONFERENCE ON SPOKEN LANGUAGE PROCESSING, VOLS 1-5, 2006, : 2350 - 2353
  • [46] PROGRESS IN EXAMPLE BASED AUTOMATIC SPEECH RECOGNITION
    Demuynck, Kris
    Seppi, Dino
    Van hamme, Hugo
    Van Compernolle, Dirk
    2011 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2011, : 4692 - 4695
  • [47] AUTOMATIC OPTICALLY-BASED RECOGNITION OF SPEECH
    FINN, KE
    MONTGOMERY, AA
    PATTERN RECOGNITION LETTERS, 1988, 8 (03) : 159 - 164
  • [48] AUTOMATIC SPEECH RECOGNITION BASED ON SPECTROGRAM READING
    CONNOLLY, JH
    EDMONDS, EA
    GUZY, JJ
    JOHNSON, SR
    WOODCOCK, A
    INTERNATIONAL JOURNAL OF MAN-MACHINE STUDIES, 1986, 24 (06): : 611 - 621
  • [49] Automatic Speech Recognition Based on Neural Networks
    Schlueter, Ralf
    Doetsch, Patrick
    Golik, Pavel
    Kitza, Markus
    Menne, Tobias
    Irie, Kazuki
    Tueske, Zoltan
    Zeyer, Albert
    SPEECH AND COMPUTER, 2016, 9811 : 3 - 17
  • [50] SGMM-Based Modeling Classifier for Punjabi Automatic Speech Recognition System
    Kadyan, Virender
    Kaur, Mandeep
    Advances in Intelligent Systems and Computing, 2020, 767 : 149 - 155