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README.md: updating terminology

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

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