Research Article | OPEN ACCESS
The Implementation of Speech Engine Based on Speex used in Foreign-food Interaction Learning System
Hui Hu
Henan College of Finance and Taxation, Henan, China
Advance Journal of Food Science and Technology 2015 11:827-831
Received: March 28, 2015 | Accepted: April 22, 2015 | Published: September 25, 2015
Abstract
With the continuous improvement and development of speech recognition technology, the numerous special purpose chips for food introduction speech recognition have been developed, thus, the practical products of speech recognition have been gradually appeared in the food market. This study will take the foundation of speech coding in Foreign-food Foreign-food speech system as the breakthrough point, by means of the interpretation of Speex, it discusses the design of the speech engine as well as the route of implementation so as to reduce tedious work in voice testing. Combined with the analysis of the basic structure of speech recognition in the Foreign-food system, it discusses the architecture of the speaker independent Foreign-food speech recognition learning system.
Keywords:
Foreign-food, speex, speech coding, speech learning system,
References
-
Paulett, J.M. and C.P. Langlotz, 2009. Improving language models for radiology speech recognition. J. Biomed. Inform., 42: 53-58.
CrossRef PMid:18761109 Direct Link -
Pitton, J., L. Atlas and P. Loughlin, 1994. Applications of positive time-frequency distributions to speech processing. IEEE T. Speech Audi. P., 2(4): 544-566.
Direct Link -
Rabiner, L. and B. Juang, 1993. Fundamentals of Speech Recognition. Prentice-Hall, Englewood Cliff, New Jersey.
PMid:8430825 Direct Link -
Rosti, A.V.I. and M.J.F. Gales, 2003. Factor analysed hidden Markov models for speech recognition. Comput. Speech Lang., 18: 181-200.
CrossRef Direct Link -
Savojim, H., 1989. A robust algorithm for accurate endpointing of speech. Speech Commun., 8: 45-60.
CrossRef Direct Link -
Tomio, T. and H. Akira, 1997. Speech recognition using the model structure determined by the genetic algorithm. Nonlinear Anal-Theor., 30: 2969-2979.
CrossRef Direct Link
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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