[{"data":1,"prerenderedAt":142},["ShallowReactive",2],{"project-14628636":3},{"id":4,"name":5,"line":6,"line_source":7,"title":8,"url":9,"domain":10,"maker":11,"posted_at":12,"year":13,"points":14,"comments":15,"rank_in_year":16,"shown_in_year":17,"top":18,"tier":19,"category":20,"subcategory":21,"format":22,"keywords":23,"reception":27,"sentiment":28,"stance_mix":29,"scored_comments":32,"aspects":33,"strip":36,"post_text":28,"what":38,"said":48,"maker_in_thread":77,"shape":86,"grid":89,"attempts":100,"same_week":105,"maker_shows":134,"maker_hidden":135,"reader_version":136,"card":137},"14628636","3D-convolutional-speaker-recognition","Using 3D Convolutional Neural Networks for Speaker Verification","title","Show HN: Using 3D Convolutional Neural Networks for Speaker Verification","https:\u002F\u002Fgithub.com\u002Fastorfi\u002F3D-convolutional-speaker-recognition","github.com","irsina",1498364824,2017,59,5,716,2242,32,"notable","ai","speaker recognition","library",[24,25,21,26],"speaker verification","convolutional neural network","deep learning","quiet",null,{"positive":30,"neutral":31,"mixed":30,"critical":31},0,1,2,{"docs":34,"idea":35},{"positive":30,"critical":31},{"positive":30,"critical":30},[30,31,30,37,30],3,{"problem":39,"audience":28,"pricing":28,"motivation":28,"time_to_build":28,"stack":46,"openness":47,"stage":47,"team_size":47},{"value":40,"source":41,"evidence":42},"Capturing speech-related and temporal information from speaker utterances for speaker models","maker",[43],{"id":44,"by":11,"text":45},"14628687","We leveraged 3D convolutional architecture for creating the speaker model in order to simultaneously capturing the speech-related and temporal information from the speakers'…",[],"unknown",{"praise":49,"objections":50,"requests":59,"questions":71,"alternatives":76},[],[51],{"value":52,"source":53,"evidence":54},"Not compared against NIST Speaker Recognition Evaluation benchmarks; dataset unknown in the literature","commenter",[55],{"id":56,"by":57,"text":58},"14631644","woodson","Have you compared your system to state of the art results on NIST Speaker Recognition Evaluations? I'm asking because the datasets released for these evaluations every two years…",[60,64],{"value":61,"source":53,"evidence":62},"Compare results against NIST Speaker Recognition Evaluation datasets",[63],{"id":56,"by":57,"text":58},{"value":65,"source":53,"evidence":66},"Future improvements for open set speaker diarization",[67],{"id":68,"by":69,"text":70},"14631563","skndr","Any hints about future improvements for open set speaker diarization?",[72],{"value":73,"source":53,"evidence":74},"Has the system been compared to state of the art on NIST evaluations?",[75],{"id":56,"by":57,"text":58},[],{"comments":37,"answered":32,"key":78},[79,80,83],{"id":44,"text":45},{"id":81,"text":82},"14651206","Thank you so much for your feedback ... You are absolutely correct ... Usually, for publishing, people use any dataset, for example in Google they usually use their own huge…",{"id":84,"text":85},"14651209","Deep learning is going into that but when? That's obviously another question. Lol!",{"commenters":37,"max_depth":32,"maker_replies":37,"first_comment_mins":87,"lifespan_hours":88},19,70,[90,92,94,96,98],[44,30,30,91,11,31],"project\u002Fneutral\u002Fdesign",[56,31,31,93,57,30],"project\u002Fcritical\u002Fdocs",[81,31,30,95,11,31],"maker\u002Fneutral\u002Fdocs",[68,32,37,97,69,30],"project\u002Fneutral\u002Fidea",[84,32,30,99,11,31],"maker\u002Fneutral\u002Fidea",[101,102],{"id":4,"t":12,"points":14,"comments":15},{"id":103,"t":104,"points":31,"comments":30},"18315636",1540647544,[106,111,116,121,125,129],{"id":107,"name":108,"points":109,"category":110},"14644539","GreenPiThumb",537,"hardware",{"id":112,"name":113,"points":114,"category":115},"14625795","Insect",354,"dev_tools",{"id":117,"name":118,"points":119,"category":120},"14652217","Hackerhunt",335,"productivity",{"id":122,"name":123,"points":124,"category":115},"14612440","Sourcetrail",328,{"id":126,"name":127,"points":128,"category":115},"14614304","pack3d",260,{"id":130,"name":131,"points":132,"category":133},"14636699","HyperLogLog",194,"languages",7,false,"v2",{"id":138,"name":5,"line":6,"ai":135,"cat":20,"year":13,"points":14,"comments":15,"rec":27,"s":28,"top":18,"kw":139,"maker":11,"domain":10,"tier":19,"attempts":32,"strip":140,"url":9,"mix":141,"praise":-1,"objection":52,"sub":21},14628636,[24,25,21,26],"01030",[30,31,30,31],1794036556645]