A Comparison of Different Approaches to Automatic Speech Segmentation
TSD '02 Proceedings of the 5th International Conference on Text, Speech and Dialogue
Language model based arabic word segmentation
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Evolutionary algorithm for speech segmentation
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Subword-based text-dependent speaker verification system with user-selectable passwords
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 01
Hi-index | 0.00 |
In this paper, a special algorithm is developed to accomplish segmentation for the Arabic speech based on energy level of the uttered words or sentences. In Arabic language, phonemes can be divided into two energy regions: unvoiced phonemes are categorized as low energy, for example, the sounds / ??? / (/s/) and / ??? / (/h/); On the other hand, vowels and semi-vowels such as / ??? / (???) (/ 'a /) and / ??? / (/w/) are categorized as high energy. Also included in this category are voiced fricatives; for instance the sounds / ??? / (/z/) and / ??? / (/aa/). The Arabic Phonetic Database (KAPD) developed by the Computer and Electronics Research Institute at KACST is utilized to perform the automatic segmentation of speech and test the developed algorithm.