{"action":"created","issue":{"url":"https://api.github.com/repos/Rayhane-mamah/Tacotron-2/issues/30","repository_url":"https://api.github.com/repos/Rayhane-mamah/Tacotron-2","labels_url":"https://api.github.com/repos/Rayhane-mamah/Tacotron-2/issues/30/labels{/name}","comments_url":"https://api.github.com/repos/Rayhane-mamah/Tacotron-2/issues/30/comments","events_url":"https://api.github.com/repos/Rayhane-mamah/Tacotron-2/issues/30/events","html_url":"https://github.com/Rayhane-mamah/Tacotron-2/issues/30","id":317360759,"number":30,"title":"Pre-trained model and audio samples.","user":{"login":"Rayhane-mamah","id":34689728,"avatar_url":"https://avatars2.githubusercontent.com/u/34689728?v=4","gravatar_id":"","url":"https://api.github.com/users/Rayhane-mamah","html_url":"https://github.com/Rayhane-mamah","followers_url":"https://api.github.com/users/Rayhane-mamah/followers","following_url":"https://api.github.com/users/Rayhane-mamah/following{/other_user}","gists_url":"https://api.github.com/users/Rayhane-mamah/gists{/gist_id}","starred_url":"https://api.github.com/users/Rayhane-mamah/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Rayhane-mamah/subscriptions","organizations_url":"https://api.github.com/users/Rayhane-mamah/orgs","repos_url":"https://api.github.com/users/Rayhane-mamah/repos","events_url":"https://api.github.com/users/Rayhane-mamah/events{/privacy}","received_events_url":"https://api.github.com/users/Rayhane-mamah/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":16,"created_at":"2018-04-24T19:20:05Z","updated_at":"2018-05-08T02:07:35Z","closed_at":null,"author_association":"OWNER","body":"Hello everyone, just wanted to drop some naturally synthesized audio samples (griffin-lim inversion of mels) along with the [model](https://drive.google.com/drive/folders/1DoddWGKce1mxzry4I36Fe0Ys05OHVckg) that generated them. Enjoy!\r\n\r\n[samples.tar.gz](https://github.com/Rayhane-mamah/Tacotron-2/files/1944094/samples.tar.gz)\r\n \r\n**Sentences:**\r\n- hello everyone and thank you for hearing me out!\r\n- these are probably my first words as a pre-trained model.\r\n- finally, today, after about 4 months of development I am able to speak naturally\r\n- my voice is still robotic indeed, that\\'s why my developer is working on Wavenet vocoder at this particular moment.\r\n- I still have some small problems with caps, words context and typos. but I read stuff differently each time.\r\n- Let me show you what I mean!\r\n- even if it doesn't sound like it, I do have feelings!\r\n- even if it doesn't sound like it, I do have feelings! (repetition to show slight difference in generation)\r\n- this is due to the pre-net drop-out even at inference time.\r\n- another thing I want to mention is that I am currently able to read long sentences with ease. here\\'s an example!\r\n- Sequence to sequence models have enjoyed great success in a variety of tasks such as machine translation, speech recognition, and text summarization. This tutorial gives readers a full understanding of sequence to sequence models and shows how to build a competitive sequence to sequence model from scratch. We focus on the task of neural machine translation which was the very first wild success for this architecture.\r\n- the tutorial should be in the git-hub comment.  ( [this one](https://www.tensorflow.org/tutorials/seq2seq) )\r\n- you also probably noticed how well I can read complex words.\r\n- so to wrap things up, I am slowly progressing, and hopefully I will speak like humans very soon.\r\n- Thank you all so much for your support!"},"comment":{"url":"https://api.github.com/repos/Rayhane-mamah/Tacotron-2/issues/comments/387261800","html_url":"https://github.com/Rayhane-mamah/Tacotron-2/issues/30#issuecomment-387261800","issue_url":"https://api.github.com/repos/Rayhane-mamah/Tacotron-2/issues/30","id":387261800,"user":{"login":"stevemurr","id":11822551,"avatar_url":"https://avatars0.githubusercontent.com/u/11822551?v=4","gravatar_id":"","url":"https://api.github.com/users/stevemurr","html_url":"https://github.com/stevemurr","followers_url":"https://api.github.com/users/stevemurr/followers","following_url":"https://api.github.com/users/stevemurr/following{/other_user}","gists_url":"https://api.github.com/users/stevemurr/gists{/gist_id}","starred_url":"https://api.github.com/users/stevemurr/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/stevemurr/subscriptions","organizations_url":"https://api.github.com/users/stevemurr/orgs","repos_url":"https://api.github.com/users/stevemurr/repos","events_url":"https://api.github.com/users/stevemurr/events{/privacy}","received_events_url":"https://api.github.com/users/stevemurr/received_events","type":"User","site_admin":false},"created_at":"2018-05-08T02:07:35Z","updated_at":"2018-05-08T02:07:35Z","author_association":"NONE","body":"@Rayhane-mamah Of course!  These are the `hparams` I override for the Tacotron model:\r\n```\r\n{\r\n    \"sample_rate\": 24000,\r\n    \"power\": 1.1,\r\n    \"input_type\": \"raw\",\r\n    \"quantize_channels\": 65536,\r\n    \"outputs_per_step\": 3 \r\n}\r\n```\r\nShoot me an email at `stevemurr@gmail.com` and I can share you some examples."}}
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