Deep neural network acoustic models for multi-dialect Arabic speech recognition

0044 English OPEN
Hmad, NF;
(2015)

Speech is a desirable communication method between humans and computers. The major concerns of the automatic speech recognition (ASR) are determining a set of classification features and finding a suitable recognition model for these features. Hidden Markov Models (HMMs... View more
  • References (208)
    208 references, page 1 of 21

    3.1 Arabic Phoneme categorization. ……………………………………………………. 37 3.2 The frequency of Arabic phonemes based for the 17 female and 17 38 male speakers from the CSLU2002 database.…………………………………..

    3.3 The frequency of Arabic phonemes extracted from the Levantine 39 database. ..……………………………………………………………………………………..

    AHMED, A., YU, K., XU, W., GONG, Y. & XING, E. P. 2008. Training hierarchical feed-forward visual recognition models using transfer learning from pseudo tasks. in Proceedings of the 10th European Conference on Computer Vision (ECCV'08), 69-82.

    AL-MANIE, M. A., ALKANHAL, M. I. & AL-GHAMDI, M. M. Automatic Speech Segmentation Using the Arabic Phonetic Database. Proceedings of the 10th WSEAS International Conference on AUTOMATION & INFORMATION, 2006. 76-79.

    AL-RADAIDEH, Q. A. & MASRI, K. H. 2011. Improving Mobile Multi-Tap Text Entry for Arabic Language. Computer Standards & Interfaces, 33 108-113.

    AL-SHAREEF, S. & HAIN, T. 2011. An Investigation in Speech Recognition for Colloquial Arabic. INTERSPEECH, 2869-2872.

    AL-SHAREEF, S. & HAIN, T. 2012. CRF-based Diacritisation of Colloquial Arabic for Automatic Speech Recognition. Interspeech.

    ALALSHEKMUBARAK, A. 2014. Towards A Robust Arabic Speech Recognition System Based On Reservoir Computing. PhD, University of Stirling.

    ALALSHEKMUBARAK, A. & SMITH, L. S. 2014. On Improving the Classification Capability of Reservoir Computing For Arabic Speech Recognition. inWermter, S.,Weber, C., Duch,W., Honkela, T., Koprinkova-Hristova, P., Magg, S., Palm, G., Villa, A.E.P. (Eds.) , Artificial Neural Networks and Machine Learning-ICANN 2014, 24th International.

    ALI, A. A. & HWAIDY, I. T. 2007. Hierarchical Arabic Phoneme Recognition Using MFCC Analysis. Iraq J. Electrical and Electronic Engineering, 3 97-106.

  • Similar Research Results (1)
  • Metrics
Share - Bookmark