DNN-based Bilingual (Telugu-Hindi) Polyglot Speech Synthesis
Mittapalle Kiran Reddy, K. Sreenivasa Rao · 2018
Bilingual polyglot speech synthesis refers to the process of synthesizing two languages with same voice, using a single speech synthesizer. In India, people often mix Hindi with their mother tongue in everyday conversations. Hence, text-to-speech (TTS) systems which can handle bilingual text are required. In this work, a deep neural network (DNN)-based bilingual speech synthesis system is developed for Telugu and Hindi, using a polyglot speech corpus, collected from a bilingual female speaker. The performance of the developed DNN-based bilingual synthesizer is evaluated and compared with the HMM-based one by means of preference test and mean opinion score (MOS) test. The results show that the quality of DNN-based synthesizer is considerably better compared to HMM-based synthesizer with an average MOS score of 3.59.