TTS - VLSP 2021: The Thunder Text-To-Speech System

Abstract

This paper describes our speech synthesis system participating in the Vietnamese Text-To-Speech track of the 2021 VLSP evaluation campaign. The goal of this challenge is to build a synthetic voice from a provided spontaneous speech corpus in Vietnamese. In this paper, we propose our implementation of FastSpeech2 model on spontaneous speech. We used a special strategy with spontaneous datasets using the TTS system. We present our utilization in generating mel-spectrograms from given texts and then synthesize speech from generated mel-spectrograms using a separately trained vocoder. In evaluation, our team achieved 3.943 mean score in MOS in-domain test, 3.3 in MOS out-domain test, and 85.00% SUS, which indicates the effectiveness of the proposed system.