Review Paper for TTS Algorithm
- Author(s): Gauri S. Nandkhedkar, Prajakta A. Ghumatkar, Vinayak Kabra and Eesha Bhayya
PAPER DETAILS
- Computer Science and Engineering
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Paper ID: UIJRTV2I70023
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Volume: 02
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Issue: 07
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Pages: 197-200
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May 2021
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ISSN: 2582-6832
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CITE THIS
Nandkhedkar, G.S., Ghumatkar, P.A., Kabra, V. and Bhayya, E., 2021. Review Paper for TTS Algorithm. United International Journal for Research & Technology (UIJRT), 2(7), pp.197-200.
Abstract
The evolution of Text To Speech has seen many algorithms from the conventional Concatenative Synthesis to the most evolved Google’s Tacotron and its iteration Tacotron 2. This survey paper discusses the architecture and outcomes of the three recent models for TTS which are Wavenet, Tacotron 1, and Tacotron 2, and further compares all of them based on their respective mean opinion scores(MOS). The MOS Values for the above-mentioned algorithms are 4.21, 3.82, and 4.58 respectively. The paper concludes that Tacotron 2 has the highest MOS value and hence is also widely used across various applications of Text to Speech.
Keywords: Text-to-speech, Deep learning, Wavenet, Tacotron.
