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README update for new model

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Eren Golge 2019-04-12 16:43:56 +02:00
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@ -38,12 +38,13 @@ Check out [here](https://mycroft.ai/blog/available-voices/#the-human-voice-is-th
| Models |Dataset | Commit | Audio Sample | Details |
| ------------- |:------:|:-----------------:|:--------------|:--------|
| [iter-62410](https://drive.google.com/open?id=1pjJNzENL3ZNps9n7k_ktGbpEl6YPIkcZ)|LJSpeech| [99d56f7](https://github.com/mozilla/TTS/tree/99d56f7e93ccd7567beb0af8fcbd4d24c48e59e9) | [link](https://soundcloud.com/user-565970875/99d56f7-iter62410 )|First model with plain Tacotron implementation.|
| [iter-170K](https://drive.google.com/open?id=16L6JbPXj6MSlNUxEStNn28GiSzi4fu1j) |LJSpeech| [e00bc66](https://github.com/mozilla/TTS/tree/e00bc66) |[link](https://soundcloud.com/user-565970875/april-13-2018-07-06pm-e00bc66-iter170k)|More stable and longer trained model.|
| [iter-270K](https://drive.google.com/drive/folders/1Q6BKeEkZyxSGsocK2p_mqgzLwlNvbHFJ?usp=sharing)|LJSpeech|[256ed63](https://github.com/mozilla/TTS/tree/256ed63)|[link](https://soundcloud.com/user-565970875/sets/samples-1650226)|Stop-Token prediction is added, to detect end of speech.|
| [iter-120K](https://drive.google.com/open?id=1A5Hr6aSvfGgIiE20mBkpzyn3vvbR2APj) |LJSpeech| [bf7590](https://github.com/mozilla/TTS/tree/bf7590) | [link](https://soundcloud.com/user-565970875/sets/september-26-2018-bf7590) | Better for longer sentences |
|[iter-108K](https://drive.google.com/open?id=1deQ2akq9cuyreda0DgZOiBdydkbgseWP)| TWEB | [2810d57](https://github.com/mozilla/TTS/tree/2810d57) | [link](https://soundcloud.com/user-565970875/tweb-example-108k-iters-2810d57) | https://github.com/mozilla/TTS/issues/22 |
| Best: [iter-185K](https://drive.google.com/drive/folders/1GU8WGix98WrR3ayjoiirmmbLUZzwg4n0?usp=sharing) | LJSpeech | [db7f3d3](https://github.com/mozilla/TTS/tree/db7f3d3) | [link](https://soundcloud.com/user-565970875/sets/ljspeech-model-185k-iters-commit-db7f3d3) | [link](https://github.com/mozilla/TTS/issues/108) |
| [Tacotron-iter-62410](https://drive.google.com/open?id=1pjJNzENL3ZNps9n7k_ktGbpEl6YPIkcZ)|LJSpeech| [99d56f7](https://github.com/mozilla/TTS/tree/99d56f7e93ccd7567beb0af8fcbd4d24c48e59e9) | [link](https://soundcloud.com/user-565970875/99d56f7-iter62410 )|First model with plain Tacotron implementation.|
| [Tacotron-iter-170K](https://drive.google.com/open?id=16L6JbPXj6MSlNUxEStNn28GiSzi4fu1j) |LJSpeech| [e00bc66](https://github.com/mozilla/TTS/tree/e00bc66) |[link](https://soundcloud.com/user-565970875/april-13-2018-07-06pm-e00bc66-iter170k)|More stable and longer trained model.|
| [Tacotron-iter-270K](https://drive.google.com/drive/folders/1Q6BKeEkZyxSGsocK2p_mqgzLwlNvbHFJ?usp=sharing)|LJSpeech|[256ed63](https://github.com/mozilla/TTS/tree/256ed63)|[link](https://soundcloud.com/user-565970875/sets/samples-1650226)|Stop-Token prediction is added, to detect end of speech.|
| [Tacotron-iter-120K](https://drive.google.com/open?id=1A5Hr6aSvfGgIiE20mBkpzyn3vvbR2APj) |LJSpeech| [bf7590](https://github.com/mozilla/TTS/tree/bf7590) | [link](https://soundcloud.com/user-565970875/sets/september-26-2018-bf7590) | Better for longer sentences |
|[Tacotron-iter-108K](https://drive.google.com/open?id=1deQ2akq9cuyreda0DgZOiBdydkbgseWP)| TWEB | [2810d57](https://github.com/mozilla/TTS/tree/2810d57) | [link](https://soundcloud.com/user-565970875/tweb-example-108k-iters-2810d57) | https://github.com/mozilla/TTS/issues/22 |
|[Tacotron-iter-185K](https://drive.google.com/drive/folders/1GU8WGix98WrR3ayjoiirmmbLUZzwg4n0?usp=sharing) | LJSpeech | [db7f3d3](https://github.com/mozilla/TTS/tree/db7f3d3) | [link](https://soundcloud.com/user-565970875/sets/ljspeech-model-185k-iters-commit-db7f3d3) | [link](https://github.com/mozilla/TTS/issues/108) |
|[Tacotron2-iter-260K](https://drive.google.com/open?id=1FJRjGDAqWIyZRX4CsppaIPEW8UWXCWzF)|LJSpeech|[824c091](https://github.com/mozilla/TTS/tree/824c091)|[soundcloud](https://soundcloud.com/user-565970875/ljspeech-logistic-wavernn)|[link](https://github.com/mozilla/TTS/issues/153)|
## Example Model Outputs
Below you see model state after 16K iterations with batch-size 32.