參考文獻 |
[1] 蔡佳君,國語發音和方法,台灣學生書局,1993.
[2] L. R. Rabiner, Ronald W. Schafer, Digital Processing of Speech Signal, Prentice-Hall, INC.1978.
[3] S. Furui, Digital Speech Processing, Synthesis, and Recognition ,Marcel Dekker, INC.1989.
[4] B.H. Juang, “Speech recognition in adverse environment”, Computer Speech and language, 5, pp275-294,1991.
[5] A. V. Oppenheim, R. W. Schafer, J. R. Buck, Discrete-Time Signal Processing, 曾建誠, 陳常侃, 王鵬華, 丁建均, 第二版, 離散時間訊號處理, 全華科技圖書股份有限公司, 2004.
[6] B. H. Juang, L. R. Rabiner, J. G. Wilpon, “On the Use of Bandpass Liftering in Speech Recognition,” IEEE Trans. Assp-35, NO.7, pp. 947-954, July. 1984.
[7] Y. Tohkura, “Weighted Cepstral Distance Measure for Speech Recognition,” IEEE Trans. Assp-35, NO.10, pp.1414-1422, Oct. 1987.
[8] F. K. Soong, M. Mohan, “A Frequency -Weighted Itakura Spectral Distortion Measure and Its Application to Speech Recognition in Noise,” IEEE Trans. on Assp Vol. 36, NO 1, Jan. 1988.
[9] K.K. Paliwal and M.M. Sondhi, “Recognition of Noisy Speech Using Cumulant-Based Linear Prediction Analysis,” Proc. ICASSP, pp.429-432, 1990.
[10] S. IMAI, “Cepstral Analysis Synthesis on The Mel Frequency Scale,” Proc. ICASSP, pp. 93 – 96, 1983.
[11] D. Mansour, B. H. Juang, “The Short-Time Modified Coherence Representation and Noisy Speech Recognition,” IEEE Trans. on Assp Vol 37, NO 6, pp. 795-804, June 1989.
[12] H. Singer, T. Umezaki, F. Itakura, “Low Bit Quantization of the Smoothed Group Delay Spectrum for Speech Recognition,” Proc. ICASSP, pp. 761-765, 1990.
[13] J. G. Wilpon et al.,”Automatic Recognition of Keywords in Unconstrained Speech Using Hidden Markov Models,” IEEE Trans. on Assp Vol.38, NO11, pp.1870-1878, Nov.1990.
[14] L. R. Rabiner, “A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition,” Proc. IEEE Vol 77, NO.2, pp. 257-286, Feb.1989.
[15] R. P. Lippmann, “An Introduction’’ to Computing with Neural Nets,” IEEE ASSP Mag. Vol 4, pp. 4 – 22, 1987
[16] D. E. Rumelhart, B. Widrow, M. A. Lehr, “The Basic Ideas in Neural Networks,” Communication of the ACM Vol 37, NO.3, March 1994
[17] J. R. Rohilcek et al., ”Continuous Hidden Markov Modeling For Speaker-Independent Word Spotting,” Proc. Int. Conf. on Assp., pp.627-630, 1989.
[18] R. C. Rose, D. B. Paul, ”A Hidden Markov Model Based Keyword Recognition System,” Proc. Int. Conf. on Assp. Vol.1, pp.129-132, 1990
[19] R. C. Rose, ”Discriminant Wordspotting Techniques For Rejecting Non-Vocabulary Utterances In Unconstrained Speech,” Proc. Int. Conf. on Assp. Vol.2, pp.105-108, 1992.
[20] L. Bahl et al.,” Maximum Mutual Information Estimation of Hidden Markov Model Parameters for Speech Recognition,” Proc. Int. Conf. on Assp. Vol.11, pp. 49-52, 1986.
[21] C. Torre, A. Acero, ”Discriminative Training of Garbage Model for Non-Vocabulary Utterance Rejection,” Proc. Int. Conf. on Spoken Language Processing, June 1994.
[22] Moreno et al, ”Rejection Techniques in Continuous Speech Recognition Using Hidden Markov Model,” Proc. European Conf, on Signal Processing, pp.1383-1386, 1990.
[23] M. W. Feng, B. Mazor, “Continuous Word Spotting for Applications in Telecommunication,” Proc. Int. Conf. on Spoken Language Processing, pp. 21-24, 1992.
[24] R.W. Christiansen, C. K. Rushforth, ” Detecting and Locating Key Words in -Continuous Speech Using Linear Predictive Coding,” IEEE Trans. on Assp vol.25,No. 5, pp.361-367, Oct. 1977.
[25] A. Higgins, R. Wohlford, “Keyword recognition using template concatenation,” Proc. IEEE int Conf. on Assp. Vol.10, pp.1233-1236, 1985.
[26] H. W. Hon, K. F. LEE, “CMU Robust Vocabulary-Independent Speech Recognition System,” Proc. IEEE int Conf. on Assp. Vol.2, pp.889-892, May 1991.
[27] J. R. Bellegarda, D. Nahamoo, ” Tied Mixture Continuous Parameter Modeling for Speech Recognition,” IEEE Trans. on Assp Vol.38, pp.2033-2045,1990.
[28] B. H. Juang, L. Rabiner, “Mixture Autoregressive Hidden Markov Models for Speech Signals,” IEEE Trans. on Assp Vol.33, pp. 1404-1412,Dec. 1985.
[29] X. D. Huang, M. A. Jack, “Semi-continuous hidden Markov models for speech signals”, Computer Speech and Language Vol.3, pp.239-257,1989.
[30] L. F. Larnel, S. Seneff, “Speech Database Development`: Design and Analysis of the Acoustic-Phonetic Corpus,” Proc. MIT Speech Recognition Workshop, July 1986.
[31] R. Schwartz, Y. L. Chow,” The N-best algorithms: an efficient and exact procedure for finding the N most likely sentence hypotheses,” Proc. ICASSP, pp.81-84, 1990.
[32] S. R. Young, W. H. Ward, ” Recognition Confidence measures for spontaneous spoken dialog,” Proc. European. Conf. on Speech Communications, pp.1177-1179, 1993.
[33] R. A. Sukkar, J. G. Wilpon,” A two pass classifier for utterance rejection in keyword spotting,” Proc. Int. Conf. on Assp. Vol.2, pp.451-454, April 1993.
[34] W. Chou, B. H. Juang, C. H. Lee,” Segmental GPD training of HMM based speech recognizer,” Proc. Int. Conf. on Assp. Vol.1, pp.473-476, 1992.
[35] L. Villarrubia, A. Acero, ”Rejection techniques for digit recognition in telecommunication applications,” Proc. Int. Conf. on Assp. Vol.2, pp.455-458, 1993.
[36] J. G. Wilpon, D. M. DeMarco, R. P. Mikkilineni,” Isolated Word Recognition Over the DDD Telephone Network Results of Two Extensive Field Studies,” Proc. IEEE Int. Conf. on Assp Vol.1, pp.55-58,1988.
[37] B. Chigier,” Rejection and Keyword Spotting Algorithms for a Directory Assistance City Name Recognition Application,” Proc. ICASSP, pp.93-96,1992.
[38] Y. Gao et al, ” Tangerine:a large vocabulary Mandarin dictation system,” Proc. ICASSP Vol.1, pp.77-80,1995.
[39] C. E. Mokbel, G. F. A. Chollet,” Automatic Word Recognition in Cars,” IEEE Trans. on Assp Vol.3, NO.5, pp.346-356, Sept. 1995.
[40] 廖弘源, 吳宗憲教授 便利生活的多媒體人機通訊發明, Feb 2011,第122期國科會工程科技E-paper.
[41] 王小川, 語音訊號處理,修訂二版, 全華圖書股份有限公司, 2009年2月.
[42] R. Vergin, D. O’Shaughnessy, A. Farhat,”Generalized Mel Frequency Cepstral Coefficients for Large-Vocabulary Speaker-Independent Continuous-Speech Recognition,” IEEE Trans. on Speech and Audio processing VOL. 7, NO.5, pp.525-532, 1999.
[43] C. Ai et al, ”Pipeline Damage and Leak Detection Based on Sound Spectrum LPCC and HMM,” Intelligent Systems Design and Applications, 2006.,829-833,2006.
[44] R. M. Nickel, “Feature - Automatic Speech Character Identification,” IEEE Circuits and Systems Magazine, Vol.6, pp.10-31,2006.
[45] 黃國彰, 「關鍵詞萃取與確認之研究”,國立中央大學碩士論文」,中華民國八十五年六月.
[46] 蔡炎興, 「關鍵詞萃取即語者辨識系統之研製」,國立中央大學碩士論文,中華民國九十二年六月.
[47] L. Gu, S. A. Zahorian, “A New Robust Algorithm for Isolated Word Endpoint Detection,” IV-4161 International Conference on Acoustics, Speech, and Signal Processing, Orlando, FL, pp.13-17, May 2002.
[48] 黃明哲,易習Visual Basic 6 程式語言基礎入門, 經緯國際股份有限公司,2009年3月.
[49] 黃明哲,易習Visual Basic 6 程式語言進階應用, 經緯國際股份有限公司,2009年3月.
[50] 陳永達,詹可文, 微電腦控制 : 專題製作 : VB串並列埠控制, 全華圖書股份有限公司, 初版,2004年.
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