Comparative Study Between Voice Recognition Libraries

Main Article Content

Hamza Frihia
Halima Bahi

Abstract

The availability of speech recognition tools with their modular architecture and open source allows researchers and programmers to implement and test new algorithms. These features facilitate the development of powerful automatic speech recognition (ASR) systems. In practice, different toolboxes have been used for the creation of speech recognition systems on any language, we cite: HTK, sphinx, Kaldi, ASR from Matlab and java speech... To answer the question: what is the best library, we want to make a comparison between the most used libraries HTK and sphinx and Matlab applied for the recognition of isolated words and continuous sentences, while transmitting our experience.

Article Details

How to Cite
Frihia, H., & Bahi, H. (2014). Comparative Study Between Voice Recognition Libraries. AL-Lisaniyyat, 20(1), 35-42. https://doi.org/10.61850/allj.v20i1.501
Section
Articles

References

[1] Rabiner, L “A tutorial on hidden Mar- kov models and selected applications in speech recognition”, Proceedings of the IEEE, 77, 1989 [2] Institut Electronique et Informatique Gaspard-Monge (IGM) htip://www- igm-univ-mlv.fr/. [3] Young, S, Evermann, G. Kershaw, D, Moore, D., Odell, J., Ollason, D., Valtchev, V. and Woodland, P., “The HTK Book”, Cambridge University En- gineering Dept., 2001 [4] CMUSphinx, Open Source Toolkit For Speech Recognition, Project By CMU, “Sphinx-4 Application Programmers Guide”, Online: http://emusphinx.sourceforge.net/wiki/tut orialsphinx4 [5] Lamere, P., Wok K. Walker, W. Gouvea, E., Singh, R.. Raj, B. and Wolf, P., “Design of the CMU Sphinx-4 decod- er”, Proceedings of the Sth European Conference on Speech Communication and Technology, Geneve, Switzerland, pp. 1181-1184, Sept. 2003 [6] Yang. H.J.. Oehlke, C. and Meinel, C.. “German speech recognition: A solution for the analysis and processing of lecture
recordings”, HPL In Proc. Of 10° IEEE/ACIS, Sanya, Heinan Island, China, 2011 [7] Samu, K. and Barot, M., “A comparison of public domain software tools for speech recognition”, Workshop on Spo- ken Language Processing. In ISCA- Supported Event., Mumbai, India, 2003 [8] Jang, J-S. R., "ASR (Automatic Speech Recognition) Toolbox", available from the link at the authors homepage at “http://mirlab.org/jang"