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科学通报  2011 

默声音符编码文本输入方法

DOI: 10.1360/972010-1864, PP. 354-359

Keywords: 文本输入,默声音符,无声交流,无声语音接口

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Abstract:

人们希望语音输入能够取代键盘,成为计算机文本输入的最主要方式.但语音输入在噪声环境中准确率低,且会泄露输入信息,也会影响他人.本文提出默声音符编码文本输入方法,该方法选择默声音中容易发声、容易精准识别且彼此间容易区分的少数几个音素作为默声音符(silentvoicesymbol),对各种字符进行编码.类似摩尔斯电码,用户只需要记住编码方式,就可以通过读默声音符准确地实现文本输入.实验证明提出的方法有潜力替代键盘在各种环境下完成文本输入任务.

References

[1]  Deng L, Huang X D. Challenges in adopting speech recognition. Comm ACM, 2004, 1: 69-75 [2] Nakajima Y, Kashioka H, Shikano K, et al. Nonaudible murmur recognition input interface using stethoscopic microphone attached to theskin. In: Proc. IEEE ICASSP, 2003. 708-711 [3] Denby B, Schultz T, Honda K, et al. Silent speech interfaces. Speech Comm, 2010, 52: 270-287 [4] Wester M.[J].Schultz T. Unspoken speech-speech recognition based on electroencephalography. Master’s Thesis. Karlsruhe: Universit?tKarlsruhe (TH.2006,:- [5] Maier-Hein L, Metze F, Schultz T, et al. Session independent non-audible speech recognition using surface electromyography. In: IEEEWorkshop on Automatic Speech Recognition and Understanding, 2005. 331-336 [6] Nakajima Y, Kashioka H, Campbell N, et al. Nonaudible murmur (NAM) recognition[J].IEICE Trans Inform Systems.2006, E89-D:1-8 [7] Heracleous P, Kaino T, Saruwatari H, et al. Unvoiced speech recognition using tissue-conductive acoustic sensor. EURASIP J Adv SignalProcess,2007, 1: 1-11 [8] Hirahara T, Otani M, Shimizu S, et al. Silent-speech enhancement system utilizing body-conducted vocal-tract resonance signals. SpeechComm, 2010, 52: 301-313 [9] Otani M, Hirahara T, Shimizu S, et al. Numerical simulation of transfer and attenuation characteristics of soft-tissue conducted soundoriginating from vocal tract. Appl Acous, 2009, 70: 469-472 [10] 于水源. 汉语元音激励模式及其语音性质. 中国科学F 辑: 信息科学, 2009, 39: 886-895 [11] Duda R, Hart P, Stork D. Pattern Classification. New York: Wiley, 2000 [12] Makhoul J. Linear Prediction: A Tutorial Review. Proc IEEE, 1975, 63: 561-580 [13] Rabiner L, Juang B. Fundamentals of Speech Recognition. London: Prentice-Hall, 1993 [14] 徐泾平, 程敬之. 功率倒谱技术在呼吸系统声传播特性分析中的应用[J].科学通报.1995, 40:1518-1521??浏览
[2]  Deng L, Huang X D. Challenges in adopting speech recognition. Comm ACM, 2004, 1: 69-75
[3]  Nakajima Y, Kashioka H, Shikano K, et al. Nonaudible murmur recognition input interface using stethoscopic microphone attached to theskin. In: Proc. IEEE ICASSP, 2003. 708-711
[4]  Denby B, Schultz T, Honda K, et al. Silent speech interfaces. Speech Comm, 2010, 52: 270-287
[5]  Wester M.[J].Schultz T. Unspoken speech-speech recognition based on electroencephalography. Master’s Thesis. Karlsruhe: Universit?tKarlsruhe (TH.2006,:-
[6]  Maier-Hein L, Metze F, Schultz T, et al. Session independent non-audible speech recognition using surface electromyography. In: IEEEWorkshop on Automatic Speech Recognition and Understanding, 2005. 331-336
[7]  Nakajima Y, Kashioka H, Campbell N, et al. Nonaudible murmur (NAM) recognition[J].IEICE Trans Inform Systems.2006, E89-D:1-8
[8]  Heracleous P, Kaino T, Saruwatari H, et al. Unvoiced speech recognition using tissue-conductive acoustic sensor. EURASIP J Adv SignalProcess,2007, 1: 1-11
[9]  Hirahara T, Otani M, Shimizu S, et al. Silent-speech enhancement system utilizing body-conducted vocal-tract resonance signals. SpeechComm, 2010, 52: 301-313
[10]  Otani M, Hirahara T, Shimizu S, et al. Numerical simulation of transfer and attenuation characteristics of soft-tissue conducted soundoriginating from vocal tract. Appl Acous, 2009, 70: 469-472
[11]  于水源. 汉语元音激励模式及其语音性质. 中国科学F 辑: 信息科学, 2009, 39: 886-895
[12]  Duda R, Hart P, Stork D. Pattern Classification. New York: Wiley, 2000
[13]  Makhoul J. Linear Prediction: A Tutorial Review. Proc IEEE, 1975, 63: 561-580
[14]  Rabiner L, Juang B. Fundamentals of Speech Recognition. London: Prentice-Hall, 1993
[15]  徐泾平, 程敬之. 功率倒谱技术在呼吸系统声传播特性分析中的应用[J].科学通报.1995, 40:1518-1521??浏览

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