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Update readme (#1978)

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@ -21,6 +21,8 @@
![GithubActions](https://github.com/coqui-ai/TTS/actions/workflows/zoo_tests.yml/badge.svg) ![GithubActions](https://github.com/coqui-ai/TTS/actions/workflows/zoo_tests.yml/badge.svg)
[![Docs](<https://readthedocs.org/projects/tts/badge/?version=latest&style=plastic>)](https://tts.readthedocs.io/en/latest/) [![Docs](<https://readthedocs.org/projects/tts/badge/?version=latest&style=plastic>)](https://tts.readthedocs.io/en/latest/)
🚀 [**Sign up to free 🐸Coqui.ai API and start cloning your voice**](https://coqui.ai/)
📰 [**Subscribe to 🐸Coqui.ai Newsletter**](https://coqui.ai/?subscription=true) 📰 [**Subscribe to 🐸Coqui.ai Newsletter**](https://coqui.ai/?subscription=true)
📢 [English Voice Samples](https://erogol.github.io/ddc-samples/) and [SoundCloud playlist](https://soundcloud.com/user-565970875/pocket-article-wavernn-and-tacotron2) 📢 [English Voice Samples](https://erogol.github.io/ddc-samples/) and [SoundCloud playlist](https://soundcloud.com/user-565970875/pocket-article-wavernn-and-tacotron2)
@ -75,7 +77,7 @@ Underlined "TTS*" and "Judy*" are 🐸TTS models
- Modular (but not too much) code base enabling easy implementation of new ideas. - Modular (but not too much) code base enabling easy implementation of new ideas.
## Implemented Models ## Implemented Models
### Text-to-Spectrogram ### Spectrogram models
- Tacotron: [paper](https://arxiv.org/abs/1703.10135) - Tacotron: [paper](https://arxiv.org/abs/1703.10135)
- Tacotron2: [paper](https://arxiv.org/abs/1712.05884) - Tacotron2: [paper](https://arxiv.org/abs/1712.05884)
- Glow-TTS: [paper](https://arxiv.org/abs/2005.11129) - Glow-TTS: [paper](https://arxiv.org/abs/2005.11129)
@ -84,6 +86,7 @@ Underlined "TTS*" and "Judy*" are 🐸TTS models
- FastPitch: [paper](https://arxiv.org/pdf/2006.06873.pdf) - FastPitch: [paper](https://arxiv.org/pdf/2006.06873.pdf)
- FastSpeech: [paper](https://arxiv.org/abs/1905.09263) - FastSpeech: [paper](https://arxiv.org/abs/1905.09263)
- SC-GlowTTS: [paper](https://arxiv.org/abs/2104.05557) - SC-GlowTTS: [paper](https://arxiv.org/abs/2104.05557)
- Capacitron: [paper](https://arxiv.org/abs/1906.03402)
### End-to-End Models ### End-to-End Models
- VITS: [paper](https://arxiv.org/pdf/2106.06103) - VITS: [paper](https://arxiv.org/pdf/2106.06103)
@ -149,12 +152,12 @@ If you are on Windows, 👑@GuyPaddock wrote installation instructions [here](ht
``` ```
- Get model info (for both tts_models and vocoder_models): - Get model info (for both tts_models and vocoder_models):
- Query by type/name: - Query by type/name:
The model_info_by_name uses the name as it from the --list_models. The model_info_by_name uses the name as it from the --list_models.
``` ```
$ tts --model_info_by_name "<model_type>/<language>/<dataset>/<model_name>" $ tts --model_info_by_name "<model_type>/<language>/<dataset>/<model_name>"
``` ```
For example: For example:
``` ```
$ tts --model_info_by_name tts_models/tr/common-voice/glow-tts $ tts --model_info_by_name tts_models/tr/common-voice/glow-tts
``` ```
@ -162,16 +165,16 @@ If you are on Windows, 👑@GuyPaddock wrote installation instructions [here](ht
$ tts --model_info_by_name vocoder_models/en/ljspeech/hifigan_v2 $ tts --model_info_by_name vocoder_models/en/ljspeech/hifigan_v2
``` ```
- Query by type/idx: - Query by type/idx:
The model_query_idx uses the corresponding idx from --list_models. The model_query_idx uses the corresponding idx from --list_models.
``` ```
$ tts --model_info_by_idx "<model_type>/<model_query_idx>" $ tts --model_info_by_idx "<model_type>/<model_query_idx>"
``` ```
For example: For example:
``` ```
$ tts --model_info_by_idx tts_models/3 $ tts --model_info_by_idx tts_models/3
``` ```
- Run TTS with default models: - Run TTS with default models:
``` ```
@ -241,8 +244,6 @@ If you are on Windows, 👑@GuyPaddock wrote installation instructions [here](ht
|- TTS |- TTS
|- bin/ (folder for all the executables.) |- bin/ (folder for all the executables.)
|- train*.py (train your target model.) |- train*.py (train your target model.)
|- distribute.py (train your TTS model using Multiple GPUs.)
|- compute_statistics.py (compute dataset statistics for normalization.)
|- ... |- ...
|- tts/ (text to speech models) |- tts/ (text to speech models)
|- layers/ (model layer definitions) |- layers/ (model layer definitions)