Create README.md

README.md

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+---
+license: mit
+language:
+- be
+---
+
+# GlowTTS + HifiGAN Female Belarusian Voice #1
+
+This is my first attempt at training a Belarusian voice using [Coqui TTS](https://docs.coqui.ai/en/dev/index.html) and Mozilla's [CommonVoice](https://commonvoice.mozilla.org/en) dataset.  This model was developed based on the [excellent recipe](https://github.com/coqui-ai/TTS/tree/dev/recipes/bel-alex73) provided by bel-alex73. For this particular model, I tweaked the search results to find single speakers with over 30 hours of audio and selected speakers based on clarity and relatively slow speaking cadence.  This was a manual selection process that involved me tweaking bel-alex73  `choose_speaker.ipynb` notebook to show/process more that just the top ranked speaker.
+
+This model is generated from the following client_id: 216de8fc1b7973a11926dd6694d2a97c3ceaf5a626ec4c8d2c85c8140a10ec5ed59bd6ee756c8c3451ee0cf784e4af445748cd69a2936102489b95f3409cd0d7
+
+I am not a native speaker of Belarusian and I am doing this to assist in my language learning efforts.  I am open to any and all feedback (esp. from native speakers) so feel free to post questions/comments.
+
+## Sythesizing text to speech
+
+Input text needs to be phoneme-ized in order for this model to process the speech correctly.  This process has been documented in [bel-alex73's README](https://github.com/coqui-ai/TTS/tree/dev/recipes/bel-alex73#prepare-to-training---locally).
+
+```
+tts --text "<phonemes>" --out_path output.wav \
+	--config_path config.json \
+	--model_path best_model.pth \
+	--vocoder_config_path vocoder_config.json \
+	--vocoder_path vocoder_best_model.pth
+```