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README.md: updating terminology
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PyTorch implementation of [Natural TTS Synthesis By Conditioning
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PyTorch implementation of [Natural TTS Synthesis By Conditioning
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Wavenet On Mel Spectrogram Predictions](https://arxiv.org/pdf/1712.05884.pdf).
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Wavenet On Mel Spectrogram Predictions](https://arxiv.org/pdf/1712.05884.pdf).
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This implementation includes **distributed** and **fp16** support
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This implementation includes **distributed** and **mixed precision** support
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and uses the [LJSpeech dataset](https://keithito.com/LJ-Speech-Dataset/).
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and uses the [LJSpeech dataset](https://keithito.com/LJ-Speech-Dataset/).
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Distributed and FP16 support uses NVIDIA's [Apex] and [AMP].
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Distributed and Mixed Precision support relies on NVIDIA's [Apex] and [AMP].
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Visit our [website] for audio samples using our published [Tacotron 2] and
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Visit our [website] for audio samples using our published [Tacotron 2] and
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[WaveGlow] models.
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[WaveGlow] models.
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