全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
-  2018 

基于隐马尔可夫模型的电力调度语音识别研究 A study of speech recognition in power dispatching based on hidden Markov model

Keywords: 隐马尔可夫模型,语音识别,电网调度控制

Full-Text   Cite this paper   Add to My Lib

Abstract:

运用统计方法,采用梅尔倒谱系数作为声学特征,重点研究了在小规模词汇量下,基于高斯混合模型和隐马尔可夫模型(HMM)的声学建模方法,开发了适合电网调度环境的声学模型,提高了调度语音的识别精度.实现了基于HTK(基于HMM模型的语音处理工具)的上下文相关的声学模型自动化训练方法,在采集到的电网调度语音数据集上采用24h语音数据进行训练,在测试集上达到95.76%的识别精度

References

[1]  Olson H F,Belar H.Phonetic typewriter[J].The Journal of the Acoustical Society of America,1956,28(6):1072-1081
[2]  Tsai W,Barch D,Cassidy A,et al.Always-on speech recognition using TrueNorth,a reconfigurable,neurosynaptic processor[J].IEEE Transactions on Computers,2017,66(6):996-1007.
[3]  Noda K,Yamaguchi Y,Nakadai K,et al.Audio-visual speech recognition using deep learning[J].Applied Intelligence,2015,42(4):722-737.
[4]  Davis K H,Biddulph R,Balashek S.Automatic recognition of spoken digits[J].The Journal of the Acoustical Society of America,1952,24(6):637-642.
[5]  Sakoe H,Chiba S.Dynamic programming algorithm optimization for spoken word recognition[J].IEEE Transactions on Acoustics,Speech,and Signal Processing,1978,26(1):43-49.
[6]  Itakura F.Line spectrum representation of linear predictive coefficients of speech signals[J].The Journal of the Acoustical Society of America,1975,47(6):S35.
[7]  Velichko V M,Zagoruyko N G.Automatic recognition of 200 words[J].International Journal of ManMachine Studies,1970,2(3):223-234.
[8]  Palaz D,Magimai-Doss M,Collobert R.Convolutional neural networks-based continuous speech recognition using raw speech signal[C]//IEEE International Conference on Acoustics,2015,61(1):4295-4299.
[9]  Lowerre B T.The HARPY speech recognition system[D].Carnegie-Mellon University,1976.
[10]  Bahl L R,Jelinek F.Decoding for channels with insertions,deletions,and substitutions with applications to speech recognition[J].IEEE Transactions on Information Theory,1975,21(4):404-411.
[11]  Lee K,Hon H,Hwang M.Recent progress in the SPHINX speech recognition system[C]//Proceedings of the Workshop on Speech and Natural Language,Philadelphia,Pennsylvania,1989:125-130.
[12]  Khelifa M,Elhadj Y,Abdellah Y,et al.Constructing accurate and robust HMM/GMM models for an Arabic speech recognition system[J].International Journal of Speech Technology,2017,(3):1-13.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133