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Volume 29 Issue 2
Jan.  2011
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Mao Qi-rong, Zhan Yong-zhao, Du Shou-fu. A Fast Modification Method for Personal Characteristics of Real-Time Speech[J]. Journal of Electronics & Information Technology, 2007, 29(2): 434-438. doi: 10.3724/SP.J.1146.2005.00899
Citation: Mao Qi-rong, Zhan Yong-zhao, Du Shou-fu. A Fast Modification Method for Personal Characteristics of Real-Time Speech[J]. Journal of Electronics & Information Technology, 2007, 29(2): 434-438. doi: 10.3724/SP.J.1146.2005.00899

A Fast Modification Method for Personal Characteristics of Real-Time Speech

doi: 10.3724/SP.J.1146.2005.00899
  • Received Date: 2005-07-26
  • Rev Recd Date: 2006-02-15
  • Publish Date: 2007-02-19
  • To protect the privacy during the real-time speech communication, in this paper, a novel fast modification method for real-time speech is presented, in which the transformation method of Pseudo Log Area Ratio (PLAR) curve and Pitch-Synchronous-OverLap-and-Add (LP-PSOLA) algorithm based on Linear Prediction are respectively adopted to modify the spectrum parameters and the prosodic parameters of the speech, then the personal characteristics of the speech are modified. In addition, for Synchronous-OverLap-and-Add(SOLA) method popularly used for Time-Scale Modification (TSM) has a lot of computation load, it can not be used for processing the real-time speech. Therefore, in this paper, a novel TSM algorithmAdaptive Synchronous OverLap and Add(ASOLA) presented by authors workgroup is adopted for TSM of the speech, the personal characteristics of which have been modified, to assure the real-time property of the speech. Finally, the fast modification method for real-time speech is used to protect the privacy during the real-time speech communication, and the test shows that, the speech synthesized by this method has high quality, and this approach can assure the real-time speech communication.
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  • [1] Corveleyn S,Coos W.Voice modification and conversion using PLAR-parameters[C]. In Proc of IEEE Benelux Workshop on Model-Based Processing and Coding of Audio(MPCA-2002), Leuven, Belgium, 2002(11): 216-218. [2] Moulines E and Laroche J. Non-parametric technique for pitch-scale and time-scale modification of speech[J].Speech Communication.1995, 16(2):175-205 [3] Laelor B and Fagam A D. A novel high quality efficient algorithm for time-scale modification of speech. 6th European Conference on Speech Communication and Technology[C]. Budapest, Hungary. 1999: 231-235. [4] Yim S and Pawate B I. Computationally efficient algorithm for time scale modification(GLS-TSM)[C][J].ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. NJ, USA: IEEE, Piscataway.1996, vol.2:1009-1012 [5] Wong W and Au O C. Fast SOLA-based time scale modification using modified envelope matching. Proc. Of IEEE Int. Conf. on Acoustics, Speech and Signal Processing[C], Orlando, FL, Institute of Electrical and Electronics Engineers Inc.2002,vol.3:3188-3191. [6] 杜守富, 毛启容, 詹永照. 自适应同步叠加语音时长规整算法. 通信学报, 2005, 2(26): 136-140. Du Shou-fu, Mao Qi-rong, and Zhan Yong-zhao.Adaptive synchronous overlap and add algorithm for time scale modification of speech. Journal on Communications, 2005, 2(26): 136-140. [7] Acero A. Source-filter models for time-scale pitch-scale modification of speech[C]. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing Proceedings. NJ, USA: IEEE, Piscataway. 1998, vol.2: 881-884. [8] Jing Yinglong and Murphy P.Voice-source analysis for pitch modification of speech signals[C]. Proceedings of the COSTG-6 Conference on Digital Audio Effects(DAX-01), Limerick, Ireland, 2001: 125-128. [9] Laroche J. Autocorrelation method for high quality/pitch scaling. IEEE ASSP Workshop on Application of Signal Processing to Audio and Acoustics, Laroche, 1993: 200-204.
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