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Speech synthesis is one of the challenging tasks to automate by deeplearning, also being a low-resource language there are very few attempts atBangla speech synthesis. Most of the existing works can't work with anythingother than simple Bangla characters script, very short sentences, etc. Thiswork attempts to solve these problems by introducing Byakta, the first-everopen-source deep learning-based bilingual (Bangla and English) text to a speechsynthesis system. A speech recognition model-based automated scoring metric wasalso proposed to evaluate the performance of a TTS model. We also introduce atest benchmark dataset for Bangla speech synthesis models for evaluating speechquality. The TTS is available at https://github.com/zabir-nabil/bangla-tts

Byakto Speech: Real-time long speech synthesis with convolutional neural network: Transfer learning from English to Bangla