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Yannis Agiomyrgiannakis

Researcher at Google

Publications -  28
Citations -  3222

Yannis Agiomyrgiannakis is an academic researcher from Google. The author has contributed to research in topics: Speech synthesis & Speech coding. The author has an hindex of 15, co-authored 28 publications receiving 2538 citations. Previous affiliations of Yannis Agiomyrgiannakis include University of Crete.

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Tacotron: Towards End-to-End Speech Synthesis

TL;DR: Tacotron as mentioned in this paper is an end-to-end generative text to speech model that synthesizes speech directly from characters, given pairs, the model can be trained completely from scratch with random initialization.
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Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions

TL;DR: Tacotron 2 as mentioned in this paper uses a recurrent sequence-to-sequence feature prediction network that maps character embeddings to mel-scale spectrograms, followed by a modified WaveNet model acting as a vocoder to synthesize timedomain waveforms.
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Tacotron: Towards End-to-End Speech Synthesis

TL;DR: Tacotron is presented, an end-to-end generative text- to-speech model that synthesizes speech directly from characters that achieves a 3.82 subjective 5-scale mean opinion score on US English, outperforming a production parametric system in terms of naturalness.
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Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model.

TL;DR: This paper presents Tacotron, an end- to-end generative text-to-speech model that synthesizes speech directly from characters, and presents several key techniques to make the sequence-tosequence framework perform well for this challenging task.
Proceedings ArticleDOI

Fast, Compact, and High Quality LSTM-RNN Based Statistical Parametric Speech Synthesizers for Mobile Devices

TL;DR: Further optimizations of LSTM-RNN-based SPSS for deployment on mobile devices; weight quantization, multi-frame inference, and robust inference using an {\epsilon}-contaminated Gaussian loss function are described.