Acceleration of feature extraction for FPGA based speech recognition

被引：2
|
作者：
Arminas, Vytautas [1 ]
Tamulevicius, Gintautas [2 ]
Navakauskas, Dalius [1 ]
Ivanovas, Edgaras [1 ]
机构：
[1] Vilnius Gediminas Tech Univ, Dept Elect Syst, Naugarduko Str 41, Vilnius, Lithuania
[2] Inst Math & Informat, Recognit Proc Dept, Vilnius, Lithuania
来源：
PHOTONICS APPLICATIONS IN ASTRONOMY, COMMUNICATIONS, INDUSTRY, AND HIGH-ENERGY PHYSICS EXPERIMENTS 2010 | 2010年 / 7745卷
关键词：
Field programmable gate array; feature extraction; cepstral analysis; speech recognition;
D O I：
10.1117/12.872081
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The paper describes a field programmable gate array implementation of the main part of speech recognition system - feature extraction. In order to accelerate recognition the whole cepstral analysis scheme is implemented in hardware by the use of intellectual property cores. Two field programmable gate array devices are used for evaluation. Comparative experimental results of four different implementations are presented. They grounds achieved 29 times faster speech analysis in comparison with software based analysis subsystem.
引用
收藏
页数：6
相关论文
共 50 条
  • [1] Hardware Implementation of MFCC Feature Extraction for Speech Recognition on FPGA
    Van-Lan Dao
    Van-Danh Nguyen
    Hai-Duong Nguyen
    Van-Phuc Hoang
    ADVANCES IN INFORMATION AND COMMUNICATION TECHNOLOGY, 2017, 538 : 248 - 254
  • [2] Speech recognition with emphasis on wavelet based feature extraction
    Farooq, O
    Datta, S
    IETE JOURNAL OF RESEARCH, 2002, 48 (01) : 3 - 13
  • [3] MVDR based feature extraction for robust speech recognition
    Dharanipragada, S
    Rao, BD
    2001 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-VI, PROCEEDINGS: VOL I: SPEECH PROCESSING 1; VOL II: SPEECH PROCESSING 2 IND TECHNOL TRACK DESIGN & IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS NEURALNETWORKS FOR SIGNAL PROCESSING; VOL III: IMAGE & MULTIDIMENSIONAL SIGNAL PROCESSING MULTIMEDIA SIGNAL PROCESSING, 2001, : 309 - 312
  • [4] Speech recognition as feature extraction for speaker recognition
    Stolcke, A.
    Shriberg, E.
    Ferrer, L.
    Kajarekar, S.
    Sonmez, K.
    Tur, G.
    2007 IEEE WORKSHOP ON SIGNAL PROCESSING APPLICATIONS FOR PUBLIC SECURITY AND FORENSICS, 2007, : 39 - +
  • [5] Optimizing feature extraction for speech recognition
    Lee, CH
    Hyun, DH
    Choi, ES
    Go, JW
    Lee, CY
    IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, 2003, 11 (01): : 80 - 87
  • [6] Feature extraction for robust speech recognition
    Dharanipragada, S
    2002 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL II, PROCEEDINGS, 2002, : 855 - 858
  • [7] Bitstream-based feature extraction for wireless speech recognition
    Kim, HK
    Cox, RV
    2000 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, PROCEEDINGS, VOLS I-VI, 2000, : 1607 - 1610
  • [8] Speech feature extraction based on wavelet modulation scale for robust speech recognition
    Ma, Xin
    Zhou, Weidong
    Ju, Fang
    Jiang, Qi
    NEURAL INFORMATION PROCESSING, PT 2, PROCEEDINGS, 2006, 4233 : 499 - 505
  • [9] Multiresolution Feature Extraction (MRFE) based speech recognition system
    Priyanka, M. Anbu Swarna
    Solomi, V. Sherlin
    Vijayalakshmi, P.
    Nagarajan, T.
    2013 INTERNATIONAL CONFERENCE ON RECENT TRENDS IN INFORMATION TECHNOLOGY (ICRTIT), 2013, : 152 - 156
  • [10] Feature extraction based on auditory representations for robust speech recognition
    Kim, DS
    Lee, SY
    Kil, RM
    Zhu, XL
    ELECTRONICS LETTERS, 1997, 33 (01) : 15 - 16
12345