{"action":"created","issue":{"url":"https://api.github.com/repos/ibab/tensorflow-wavenet/issues/47","repository_url":"https://api.github.com/repos/ibab/tensorflow-wavenet","labels_url":"https://api.github.com/repos/ibab/tensorflow-wavenet/issues/47/labels{/name}","comments_url":"https://api.github.com/repos/ibab/tensorflow-wavenet/issues/47/comments","events_url":"https://api.github.com/repos/ibab/tensorflow-wavenet/issues/47/events","html_url":"https://github.com/ibab/tensorflow-wavenet/issues/47","id":177798661,"number":47,"title":"Generating good audio samples","user":{"login":"ibab","id":890531,"avatar_url":"https://avatars.githubusercontent.com/u/890531?v=3","gravatar_id":"","url":"https://api.github.com/users/ibab","html_url":"https://github.com/ibab","followers_url":"https://api.github.com/users/ibab/followers","following_url":"https://api.github.com/users/ibab/following{/other_user}","gists_url":"https://api.github.com/users/ibab/gists{/gist_id}","starred_url":"https://api.github.com/users/ibab/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ibab/subscriptions","organizations_url":"https://api.github.com/users/ibab/orgs","repos_url":"https://api.github.com/users/ibab/repos","events_url":"https://api.github.com/users/ibab/events{/privacy}","received_events_url":"https://api.github.com/users/ibab/received_events","type":"User","site_admin":false},"labels":[{"id":446183269,"url":"https://api.github.com/repos/ibab/tensorflow-wavenet/labels/strategy","name":"strategy","color":"fbca04","default":false}],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":72,"created_at":"2016-09-19T14:23:12Z","updated_at":"2016-11-14T06:21:37Z","closed_at":null,"body":"Let's discuss strategies for producing audio samples.\nWhen running over the entire dataset, I've so far only managed to reproduce recording noise and clicks.\n\nSome ideas I've had to improve on this:\n- We should limit ourselves to a single speaker for now. That will allow us to perform multiple epochs on the train dataset. We could also try overfitting the dataset a little, which should result in the network reproducing pieces of the train dataset.\n- Remove silence from the recordings. Many of the recordings have periods of recording noise before and after the speakers. It might be worth removing these with `librosa`.\n"},"comment":{"url":"https://api.github.com/repos/ibab/tensorflow-wavenet/issues/comments/260257299","html_url":"https://github.com/ibab/tensorflow-wavenet/issues/47#issuecomment-260257299","issue_url":"https://api.github.com/repos/ibab/tensorflow-wavenet/issues/47","id":260257299,"user":{"login":"nakosung","id":2463571,"avatar_url":"https://avatars.githubusercontent.com/u/2463571?v=3","gravatar_id":"","url":"https://api.github.com/users/nakosung","html_url":"https://github.com/nakosung","followers_url":"https://api.github.com/users/nakosung/followers","following_url":"https://api.github.com/users/nakosung/following{/other_user}","gists_url":"https://api.github.com/users/nakosung/gists{/gist_id}","starred_url":"https://api.github.com/users/nakosung/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/nakosung/subscriptions","organizations_url":"https://api.github.com/users/nakosung/orgs","repos_url":"https://api.github.com/users/nakosung/repos","events_url":"https://api.github.com/users/nakosung/events{/privacy}","received_events_url":"https://api.github.com/users/nakosung/received_events","type":"User","site_admin":false},"created_at":"2016-11-14T06:21:37Z","updated_at":"2016-11-14T06:21:37Z","body":"@Cortexelus 158 files, 200K bytes each. ~50k iteration with learning rate annealing. :)"}}
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