期刊文献+

基于语音识别技术的残疾人环境控制系统的研制 被引量:2

The Development of a Speech Recognition Based Environmental Control Unit For the Disabled
下载PDF
导出
摘要 本文介绍了一种基于语音识别技术的残疾人环境控制系统 (ECU) ,该系统用 PC机采集和识别输入语音 ,通过并口将指令传到控制箱中。控制箱内主要是译码电路、继电器组和电视红外遥控电路 ,分别控制电器设备、电话机和电视机的各项功能。该系统采用小词汇表孤立词语音识别模式 ,在语音指令的识别中用短时能频值作为切分音节的依据 ,用 L PC倒谱和差分倒谱作为特征矢量 ,用倒谱域非线性分块法对特征矢量进行压缩和时间对准 ,最后用最近邻法作为判别准则。在识别算法中采用字长阈值法、滑动模板法和误差双阈值法来减小环境噪声的影响。经过测试 ,该系统对于指令词的识别率高 ,对环境噪声不敏感 ,硬件的控制可靠 。 A Speech Recognition Based Environmental Control Unit(ECU) is presented in this paper. In the system, a PC is used to sample the input speech and recognize it. Recognized results, which are the control commands, are sent to the control box through a parallel port of the computer. In the control box there are a decoding circuit, groups of relays, and a circuit of infrared remote controller. The control box controls electric appliances, a telephone, and a TV set for some functions. In the recognition of commands, which is speaker dependent small vocabulary discontinuous speech recognition, Energy Frequency Value threshold is used to separate syllables. Coefficients of Linear Predictive Coding(LPC) Cepstrum and delta Cepstrum are selected as eigenvectors, which are compressed and time registered according to Nonlinear Blocking rule in the Cepstrum field. The nearest neighborhood criterion is used. Threshold of word length, sliding template, and double threshold of error are applied to minimize influence of environmental noise. Test result shows that this ECU has a high recognition rate for commands; it is insensitive to environmental noise, and the hardware control is reliable. This ECU is suitable to be used for high level paraplegic users.
机构地区 清华大学电机系
出处 《北京生物医学工程》 2000年第2期65-69,共5页 Beijing Biomedical Engineering
关键词 残疾人 环境控制系统 语音识别 短时能频值 The disabled, Environmental Control Unit(ECU),Speech recognition, Energy Frequency Value,LPC Cepstrum,Nonlinear Blocking
  • 相关文献

参考文献2

共引文献1

同被引文献43

  • 1陈志翔,信琴琴,朱月秀,林姿琼,王琳.虚拟人舌运动可视化在发声中的研究[J].中国康复理论与实践,2013,19(10):993-997. 被引量:3
  • 2张崇,于晓琳,刘建平.单片2.4GHz无线收发一体芯片nRF2401及其应用[J].国外电子元器件,2004(6):34-36. 被引量:83
  • 3陈立万.基于语音识别系统中DTW算法改进技术研究[J].微计算机信息,2006,22(02Z):267-269. 被引量:28
  • 4张金艳 张建江.安静居住小区环境噪声监测技术的探讨.噪声与振动控制,2007,(4):127-128.
  • 5Lancioni GE, O'Reilly MF, Siga|bos J, et al. Enabling a per- son with multiple disabilities and minimal motor behaviour to control environmental stimulation with chin movements [J]. Disability and Rebabilitation,2004,26(21-22):1291-1294.
  • 6Antonucci M, Lancioni GE, O'Reilly MF, et al. Enabling a man with multiple disabilities and limited motor behavior to perform a functional task with help of microswitch technolo- gy[J]. Perceptual and Motor Skills,2006,103(I):83-88.
  • 7Jones RD, Hooper RH, Armstrong D1, et al. Microproces- sor-based multi-patient environmental-control system for a spinal injuries unit[J]. Medical and Biological Engineering and Computing, 1980,18(5):607-616.
  • 8Surdilovic T, Zhang YQ. Convenient intelligent cursor con- trol web systems for Internet users with severe motor-impair- ments[J]. International Journal of Medical lnfonnatics,2006,75 (I):86-100.
  • 9AIShu'eili. Voice recognition based wireless home automa- tion system[C]. 2011 4th International Conference On Date of Conference,2011,5:17-19.
  • 10Jojic N, Brumitt B, Meyers B, et al. Detection and Estima- tion of Pointing Gestures in Dense Disparity Maps[C]. IEEE on Automatic Face and Gesture Recognition, 2000: 468-475.

引证文献2

二级引证文献3

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部