Hidden Markov Model (HMM) based Speech Synthesis for Urdu Language
نویسنده
چکیده
This paper describes the development of HMM based speech synthesizer for Urdu language using the HTStoolkit. It describes the modifications needed to original HTS-Demo-scripts to port them, for Urdu language, which are currently available for English, Japanese and Portuguese. That includes the generation of the fullcontext style labels and the creation of the Question file for Urdu phone set. For that the development and structure of utilities are discussed. Plus a list of 200 high frequency Urdu words are selected using the greedy search algorithm. Finally the evaluation of these synthesized words is conducted using naturalness and intelligibility scores. Keywords— Speech Synthesis, Hidden Markov Models (HMMs), Urdu Language, Perceptual Testing
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