论文信息 - Amazigh Speech Recognition System Based on CMUSphinx

Amazigh Speech Recognition System Based on CMUSphinx

In this paper, we are proposing a new approach to build an Amazigh automated speech recognition system using Amazigh environment. This system is based on the open source CMU Sphinx-4, from the Carnegie Mellon University. CMU Sphinx is a large-vocabulary; speaker-independent, continuous speech recognition system based on discrete Hidden Markov Models (HMMs).

Meryam Telmem | Youssef Ghanou

[1] Yousef Ajami Alotaibi. Investigating spoken Arabic digits in speech recognition setting , 2005, Inf. Sci..

[2] Raja Noor Ainon,et al. Arabic speaker-independent continuous automatic speech recognition based on a phonetically rich and balanced speech corpus , 2012, Int. Arab J. Inf. Technol..

[3] Raja N. Ainon,et al. Arabic speech recognition using Hidden Markov Model Toolkit(HTK) , 2010, 2010 International Symposium on Information Technology.

[4] Youssef Ghanou,et al. Neural architectures optimization and genetic algorithms , 2009 .

[5] M. Harti,et al. Arabic Speech Recognition System Based on CMUSphinx , 2007, 2007 International Symposium on Computational Intelligence and Intelligent Informatics.

[6] Benjamin Lecouteux. Reconnaissance automatique de la parole guidée par des transcriptions a priori. (driven decoding for speech recognition system combination) , 2008 .

[7] Fatima El Haoussi,et al. Investigation Amazigh speech recognition using CMU tools , 2014, Int. J. Speech Technol..

[8] Kuldeep Kumar,et al. A Hindi speech recognition system for connected words using HTK , 2012 .

[9] Mohamed Ettaouil,et al. Image Medical Compression by A new Architecture Optimization Model for the Kohonen Networks , 2011 .

[10] James R. Glass,et al. A complete KALDI recipe for building Arabic speech recognition systems , 2014, 2014 IEEE Spoken Language Technology Workshop (SLT).