BIP! Finder - Neural Speech Synthesis with Transformer Network

2019 • Neural Speech Synthesis with Transformer Network

Authors: Yanqing Liu; Naihan Li; Sheng Zhao; Shujie Liu; Ming Liu

Venue: Proceedings of the AAAI Conference on Artificial Intelligence

Type: Publication

Abstract: Although end-to-end neural text-to-speech (TTS) methods (such as Tacotron2) are proposed and achieve state-of-theart performance, they still suffer from two problems: 1) low efficiency during training and inference; 2) hard to model long dependency using current recurrent neural networks (RNNs). Inspired by the success of Transformer network in neural machine translation (NMT), in this paper, we introduce and adapt the multi-head attention mechanism to replace the RNN structures and also the original attention mechanism in Tacotron2. With the h... (read more)

Impact:

3.7726724E-7 5.975847E-8 432 218

/ Attention: 0 17

Topics: Speech recognition Artificial intelligence

DOI: 10.1609/aaai.v33i01.33016706

External links: Crossref OpenAIRE

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