{"action":"created","issue":{"url":"https://api.github.com/repos/fatchord/WaveRNN/issues/6","repository_url":"https://api.github.com/repos/fatchord/WaveRNN","labels_url":"https://api.github.com/repos/fatchord/WaveRNN/issues/6/labels{/name}","comments_url":"https://api.github.com/repos/fatchord/WaveRNN/issues/6/comments","events_url":"https://api.github.com/repos/fatchord/WaveRNN/issues/6/events","html_url":"https://github.com/fatchord/WaveRNN/issues/6","id":331008584,"node_id":"MDU6SXNzdWUzMzEwMDg1ODQ=","number":6,"title":"What is the training time?","user":{"login":"room101b","id":40149909,"node_id":"MDQ6VXNlcjQwMTQ5OTA5","avatar_url":"https://avatars0.githubusercontent.com/u/40149909?v=4","gravatar_id":"","url":"https://api.github.com/users/room101b","html_url":"https://github.com/room101b","followers_url":"https://api.github.com/users/room101b/followers","following_url":"https://api.github.com/users/room101b/following{/other_user}","gists_url":"https://api.github.com/users/room101b/gists{/gist_id}","starred_url":"https://api.github.com/users/room101b/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/room101b/subscriptions","organizations_url":"https://api.github.com/users/room101b/orgs","repos_url":"https://api.github.com/users/room101b/repos","events_url":"https://api.github.com/users/room101b/events{/privacy}","received_events_url":"https://api.github.com/users/room101b/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":18,"created_at":"2018-06-10T22:32:14Z","updated_at":"2018-07-15T10:04:11Z","closed_at":null,"author_association":"NONE","body":"Hi, I'm thinking of building WaveRNN as part of a masters project and I was just wondering what the training time is like. I only have a single GTX 1060 3GB so I was a bit concerned that training time would make this unrealistic. Also, I have done a term of machine learning modules but we didn't really cover conditioning networks on features of the input date, for example speaker id, current phoneme, syllable, word, etc., could you please point me in the direction of any information/literature on this.\r\n\r\nAny help is much appreciated, Thanks"},"comment":{"url":"https://api.github.com/repos/fatchord/WaveRNN/issues/comments/405080416","html_url":"https://github.com/fatchord/WaveRNN/issues/6#issuecomment-405080416","issue_url":"https://api.github.com/repos/fatchord/WaveRNN/issues/6","id":405080416,"node_id":"MDEyOklzc3VlQ29tbWVudDQwNTA4MDQxNg==","user":{"login":"fatchord","id":37295764,"node_id":"MDQ6VXNlcjM3Mjk1NzY0","avatar_url":"https://avatars2.githubusercontent.com/u/37295764?v=4","gravatar_id":"","url":"https://api.github.com/users/fatchord","html_url":"https://github.com/fatchord","followers_url":"https://api.github.com/users/fatchord/followers","following_url":"https://api.github.com/users/fatchord/following{/other_user}","gists_url":"https://api.github.com/users/fatchord/gists{/gist_id}","starred_url":"https://api.github.com/users/fatchord/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/fatchord/subscriptions","organizations_url":"https://api.github.com/users/fatchord/orgs","repos_url":"https://api.github.com/users/fatchord/repos","events_url":"https://api.github.com/users/fatchord/events{/privacy}","received_events_url":"https://api.github.com/users/fatchord/received_events","type":"User","site_admin":false},"created_at":"2018-07-15T10:04:11Z","updated_at":"2018-07-15T10:04:11Z","author_association":"OWNER","body":"@iovdin Cool link though - thanks! \r\n\r\nI'm not too familiar with SampleRNN (although it's a very interesting model), so I can't really comment on it  much. \r\n\r\nActually - doesn't SampleRNN operate on frames of samples? Perhaps it's 128 frames of 16 samples? Again, haven't read that paper yet so I could be wrong on that. "}}
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