Towards Building Text-To-Speech Systems for the Next Billion Users. (arXiv:2211.09536v1 [cs.CL])

Deep learning based text-to-speech (TTS) systems have been evolving rapidly
with advances in model architectures, training methodologies, and
generalization across speakers and languages. However, these advances have not
been thoroughly investigated for Indian language speech synthesis. Such
investigation is computationally expensive given the number and diversity of
Indian languages, relatively lower resource availability, and the diverse set
of advances in neural TTS that remain untested. In this paper, we evaluate the
choice of acoustic models, vocoders, supplementary loss functions, training …

arxiv building speech speech systems systems text text-to-speech