![]() We show that a single neural TTS system can learn hundreds of unique voices from less than half an hour of data per speaker, while achieving high audio quality synthesis and preserving the speaker identities almost perfectly. We then demonstrate our technique for multi-speaker speech synthesis for both Deep Voice 2 and Tacotron on two multi-speaker TTS datasets. We improve Tacotron by introducing a post-processing neural vocoder, and demonstrate a significant audio quality improvement. a deep learning toolkit for Text-to-Speech, battle-tested in research and production. ![]() We introduce Deep Voice 2, which is based on a similar pipeline with Deep Voice 1, but constructed with higher performance building blocks and demonstrates a significant audio quality improvement over Deep Voice 1. As a starting point, we show improvements over the two state-of-the-art approaches for single-speaker neural TTS: Deep Voice 1 and Tacotron. Hence, it can be adapted to produce speech in the voice of a particular speaker with only a small amount of training data. We introduce a technique for augmenting neural text-to-speech (TTS) with low-dimensional trainable speaker embeddings to generate different voices from a single model. Neural TTS models use deep neural networks to learn the relationship between text and speech from data, including the specific characteristics of a speakers voice. You can select several different voices including male, female, or child. ![]() This free text to speech tool will read out loud any text with a natural human-sounding voice. Thats why our voices do not sound like robots. Transform any written content into natural-sounding speech with MicMonsters text to speech technology - and now you can do it for half the price Our 50 discount offer applies to Annual & Lifetime pricing plans, giving you access to a range of features and customization options. Andrew Gibiansky, Sercan Arik, Gregory Diamos, John Miller, Kainan Peng, Wei Ping, Jonathan Raiman, Yanqi Zhou Abstract Award-winning AI Voice Generator and text to speech software with 500+ voices in 100 languages. We use machine learning and artificial intelligence to push the limits and create high-quality human-like voices.
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