Abstract
This paper describes the development of HMM based speech synthesizer for Urdu language using the HTS-toolkit. 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 full-context 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.
Tania Habib. (2014) Hidden Markov Model (HMM) based Speech Synthesis for Urdu Language, Conference on Language and Technology 2014.
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Publisher
Center for Language Engineering
Country
Pakistan
City
Karachi
From
13-11-2014
To
15-11-2014