[{"data":1,"prerenderedAt":659},["ShallowReactive",2],{"project-24740266":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":28,"sentiment":29,"stance_mix":30,"scored_comments":35,"aspects":36,"strip":45,"post_text":47,"what":48,"said":96,"maker_in_thread":206,"shape":217,"grid":222,"attempts":621,"same_week":622,"maker_shows":39,"maker_hidden":651,"reader_version":652,"card":653},"24740266","SmartGuitarAmp","Guitar plugin made with deep learning","title","Show HN: SmartGuitarAmp – Guitar plugin made with deep learning","https:\u002F\u002Fgithub.com\u002Fkeyth72\u002FSmartGuitarAmp","github.com","keyth72",1602349314,2020,240,160,205,3028,7,"notable","creative","guitar amp plugin","desktop_app",[24,25,26,27],"guitar amp simulator","vst plugin","neural network amp modeling","open source guitar plugin","mixed",0.146,{"positive":31,"neutral":32,"mixed":33,"critical":34},13,17,2,6,38,{"performance":37,"execution":40,"idea":43,"docs":44},{"positive":38,"critical":39},4,3,{"positive":41,"critical":42},1,0,{"positive":39,"critical":42},{"positive":33,"critical":41},[33,39,39,42,42,42,42,42,42,42,42,42,42,42,39,46,42,42,42,42,39,42,46,42,42,46,46,39,46,33,42,39,39,41,39,42,39,39,46,38],5,null,{"problem":49,"audience":56,"pricing":65,"motivation":73,"time_to_build":47,"stack":82,"openness":93,"stage":94,"team_size":95},{"value":50,"source":51,"evidence":52},"Emulating the distortion tone of a tube guitar amp in software","maker",[53],{"id":54,"by":11,"text":55},"24741060","It is a plugin that you play a guitar through live, like an amp on your computer. The tone of a real world amp is what's being emulated. More specifically, the distortion…",{"value":57,"source":58,"evidence":59},"Guitarists and musicians recording or playing through a computer","inferred",[60,61],{"id":54,"by":11,"text":55},{"id":62,"by":63,"text":64},"24740691","sickcodebruh","This is really cool, I’d love to try this out! Neural DSP, developers of what are arguably the best amp sim plugins available right now, claim that their upcoming floor modeler…",{"value":66,"source":67,"evidence":68},"free","commenter",[69],{"id":70,"by":71,"text":72},"24740712","aeleos","Just tried it out, I don't know if I would say it sounds like a $600 tube amp especially in high gain scenarios (it really didn't like my active pickups), for a free plugin it is…",{"value":74,"source":51,"evidence":75},"Built as an experiment with deep learning for audio; maker is a musician interested in machine learning",[76,79],{"id":77,"by":11,"text":78},"24745164","Wow, I am blown away by the feedback and discussion from everyone here. Just want to say that this is an extremely different experience from any other site I’ve been on, so thank…",{"id":80,"by":11,"text":81},"24741267","Yeah I'm not a company here, just a musician with an interest in machine learning and a few amps cluttering up the bedroom. I'd love for other people to train and share new…",[83,89],{"value":84,"source":51,"evidence":85},"WaveNet (WaveNetVA)",[86],{"id":87,"by":11,"text":88},"24740761","Thank you! Any feedback is appreciated if you get around to trying it out. If you look at the WaveNetVA repository from Aalto University that my plugin is based on, at least one…",{"value":90,"source":51,"evidence":91},"GPU model training",[92],{"id":87,"by":11,"text":88},"open_source","prototype","solo",{"praise":97,"objections":113,"requests":146,"questions":161,"alternatives":176},[98,106],{"value":99,"source":67,"evidence":100},"Tone similarity is impressive for a free plugin",[101,105],{"id":102,"by":103,"text":104},"24740679","onion-soup","The tone similarity is quite impressive.",{"id":70,"by":71,"text":72},{"value":107,"source":67,"evidence":108},"Good results from a mathematical standpoint",[109],{"id":110,"by":111,"text":112},"24741098","nom","Awesome project and pretty good results from a mathematical standpoint. The biggest challenge is to try and convince the tube amp enthusiasts that it sounds indistinguishable to…",[114,121,132,139],{"value":115,"source":67,"evidence":116},"Does not sound warm like a tube amp",[117],{"id":118,"by":119,"text":120},"24740694","_fs","I don't know, I'm not hearing the warmth of a tube amp. Sounds like other solid state emulator amps.",{"value":122,"source":67,"evidence":123},"Latency concerns for live play",[124,128],{"id":125,"by":126,"text":127},"24741194","MrBuddyCasino","Is latency an issue?",{"id":129,"by":130,"text":131},"24741230","joeel84","Yes.",{"value":133,"source":67,"evidence":134},"Title is clickbait and vague",[135],{"id":136,"by":137,"text":138},"24740727","romwell","What a clickbait title. Sounds (to whom?) like a $600 (which one?) amp using deep learning (why does it matter?). To expand on this: -$600 tube amp is not description of a sound.…",{"value":140,"source":67,"evidence":141},"Windows only",[142],{"id":143,"by":144,"text":145},"24742175","neiman","Windows only boohoohooo:(",[147,154],{"value":148,"source":67,"evidence":149},"Run on Raspberry Pi for stage use",[150],{"id":151,"by":152,"text":153},"24740803","offtop5","Would be cool if you could run this thing on a raspberry pi and actually use it like an on stage amp",{"value":155,"source":67,"evidence":156},"Linux support",[157],{"id":158,"by":159,"text":160},"24742064","lightlyused","I've been using guitarx, it includes some tube emulation, but I haven't really noticed much of a tonal difference between them. This looks interesting, but I run Linux so it is a…",[162,169],{"value":163,"source":67,"evidence":164},"Which tube amp is modeled",[165],{"id":166,"by":167,"text":168},"24740846","deeblering4","Which tube amp(s) is it modeling? Its a bit like of like saying “free emulator behaves like $600 console”",{"value":170,"source":67,"evidence":171},"How much compute does the model use",[172],{"id":173,"by":174,"text":175},"24741775","trollian","That's super cool. I've been both playing around with building analog pedals and thinking about how to cram various single board computers into a pedal enclosure for open source…",[177,181,188,195,199],{"value":178,"source":67,"evidence":179},"Neural DSP Archetype Nolly",[180],{"id":70,"by":71,"text":72},{"value":182,"source":67,"evidence":183},"Kemper profiling amp",[184],{"id":185,"by":186,"text":187},"24743943","manmal","Interesting that Kemper hasn’t been mentioned yet. They are a German company who make profiling amps, which basically consist of software able to profile an existing amplifier…",{"value":189,"source":67,"evidence":190},"Fractal Audio Axe-Fx",[191],{"id":192,"by":193,"text":194},"24742189","dmacvicar","Many prominent artists are touring with modelling amps for years now. https:\u002F\u002Fwww.fractalaudio.com\u002Fartists\u002F There are many advantages. Less maintenance, lower stage volumes,…",{"value":196,"source":67,"evidence":197},"Neural DSP Quad Cortex",[198],{"id":62,"by":63,"text":64},{"value":200,"source":67,"evidence":201},"Guitarix",[202],{"id":203,"by":204,"text":205},"24743007","hannasanarion","For purpose-made hardware, basically never. If you're doing all of the emulation and signal processing on a general-purpose computer, then sure, you often run into latency…",{"comments":32,"answered":18,"key":207},[208,211,214],{"id":209,"text":210},"24741342","Second Yes. I would not play this at a live gig myself, but it does run fine on my Acer laptop with i5 processor, which is not meant for serious audio processing. If you try it…",{"id":212,"text":213},"24740906","Thanks for trying it, much appreciated. Love Neural DSP's plugins, they are the best as far as I'm concerned.",{"id":215,"text":216},"24741663","The Nolly is awesome, tons of options in there for both clean and dirty sounds. The awesome thing is you can try all their plugins before buying to make sure it’s what you need.",{"commenters":218,"max_depth":219,"maker_replies":32,"first_comment_mins":220,"lifespan_hours":221},78,10,63,124,[223,227,229,231,234,237,241,243,245,247,248,252,255,258,262,264,267,270,272,274,275,278,280,283,285,287,290,292,295,297,300,303,305,308,311,313,316,318,320,323,325,328,330,332,335,337,340,342,345,347,349,352,354,356,359,361,364,366,368,370,372,376,380,383,386,389,390,392,394,396,398,400,401,404,406,409,412,415,418,421,423,426,428,430,431,434,436,438,441,444,446,449,452,455,457,460,462,466,468,471,473,475,477,479,481,483,487,490,492,496,499,501,503,507,508,510,512,515,517,519,522,524,526,528,530,532,535,536,539,541,544,547,549,551,554,557,559,563,566,569,572,575,578,580,583,585,588,590,593,596,599,601,602,605,607,609,610,612,616,619],[224,42,42,225,226,42],"24741062","other\u002Fneutral\u002Fidea","w0mbat",[125,42,39,228,126,42],"project\u002Fneutral\u002Fperformance",[129,42,41,230,130,42],"project\u002Fcritical\u002Fperformance",[232,42,39,228,233,42],"24741232","mhh__",[235,42,39,228,236,42],"24743167","o-__-o",[238,42,42,239,240,42],"24743336","commenter\u002Fneutral\u002Fperformance","klodolph",[242,42,42,239,126,42],"24744195",[209,42,42,244,11,41],"project\u002Fmixed\u002Fperformance",[246,42,39,228,236,42],"24743193",[203,42,39,228,204,42],[249,42,42,250,251,42],"24741589","other\u002Fneutral\u002Fnone","dyeje",[253,42,42,250,254,42],"24741747","notahacker",[256,42,42,250,257,42],"24742764","hashkb",[259,42,42,260,261,42],"24742818","commenter\u002Fneutral\u002Fnone","52-6F-62",[263,42,42,250,257,42],"24776492",[265,42,42,266,261,42],"24793699","commenter\u002Fneutral\u002Fidea",[268,42,42,250,269,42],"24745492","TheOtherHobbes",[271,42,42,250,193,42],"24760582",[273,42,42,250,257,42],"24776399",[192,42,42,250,193,42],[276,42,42,260,277,42],"24745106","whiddershins",[279,42,42,260,193,42],"24749105",[281,42,42,260,282,42],"24742797","ryanSrich",[284,42,42,250,193,42],"24742961",[286,42,42,260,282,42],"24743035",[288,42,42,260,289,42],"24743162","mysterydip",[291,42,42,260,240,42],"24743322",[293,42,42,260,294,42],"24744956","IndySun",[296,42,42,260,269,42],"24745727",[298,42,42,250,299,42],"24746834","analog31",[301,42,42,260,302,42],"24743334","gltchkrft",[304,42,42,260,299,42],"24743527",[306,42,42,260,307,42],"24743607","ThomPete",[309,42,42,260,310,42],"24743285","costcopizza",[312,42,42,260,240,42],"24743291",[314,42,42,260,315,42],"24743485","wk_end",[317,42,42,260,240,42],"24743570",[319,42,42,260,277,42],"24745117",[321,42,42,260,322,42],"24745151","irscott",[324,42,42,260,240,42],"24746275",[326,42,42,260,327,42],"24744091","asdff",[329,42,42,260,282,42],"24745555",[331,42,42,260,302,42],"24743326",[333,42,42,260,334,42],"24744693","dharma1",[336,42,42,260,322,42],"24745139",[338,42,42,260,339,42],"24744161","ClikeX",[341,42,42,250,269,42],"24745463",[343,42,42,250,344,42],"24742317","qppo",[346,42,42,250,193,42],"24742772",[348,42,42,250,344,42],"24742984",[350,42,42,260,351,42],"24743065","ReactiveJelly",[353,42,42,260,240,42],"24743271",[355,42,42,260,240,42],"24743245",[357,42,42,260,358,42],"24746485","fuzzfactor",[360,42,42,250,322,42],"24745431",[362,42,42,250,363,42],"24743401","arduinomancer",[365,42,42,250,322,42],"24745121",[367,42,42,250,358,42],"24746241",[70,41,39,369,71,42],"project\u002Fmixed\u002Fexecution",[212,41,42,371,11,41],"maker\u002Fpositive\u002Fnone",[373,41,39,374,375,42],"24740961","project\u002Fneutral\u002Fnone","biomechanica",[377,41,46,378,379,42],"24744774","project\u002Fpositive\u002Fexecution","baptistelebail",[381,41,42,250,382,42],"24741067","Gollapalli",[384,41,46,385,71,42],"24743347","project\u002Fpositive\u002Fnone",[387,41,42,250,388,42],"24741527","albutr",[215,41,42,250,11,41],[391,41,42,250,71,42],"24743344",[393,41,42,250,63,42],"24745682",[395,41,42,250,388,42],"24746166",[397,41,42,250,63,42],"24747478",[399,41,42,250,388,42],"24749294",[185,33,42,250,186,42],[402,33,42,250,403,42],"24744483","gianlucahmd",[405,33,42,250,186,42],"24744830",[407,39,42,250,408,42],"24740682","dlivingston",[410,39,42,250,411,42],"24740718","marketingPro",[413,39,42,250,414,42],"24740870","detaro",[416,39,42,250,417,42],"24741014","bserge",[419,39,42,250,420,42],"24741206","qwertox",[422,39,42,250,411,42],"24741510",[424,39,42,250,425,42],"24741820","nitrogen",[427,39,42,250,420,42],"24741875",[62,38,39,429,63,42],"project\u002Fneutral\u002Fidea",[87,38,42,429,11,41],[432,38,42,250,433,42],"24741730","bjelkeman-again",[435,38,42,250,63,42],"24742257",[437,38,42,250,433,42],"24742597",[439,46,42,250,440,42],"24748866","valdiorn",[442,46,39,429,443,42],"24749778","copperx",[110,34,46,445,111,42],"project\u002Fpositive\u002Fperformance",[447,34,42,448,193,42],"24742245","other\u002Fneutral\u002Fperformance",[450,18,42,250,451,42],"24742992","fallingmeat",[453,18,42,250,454,42],"24743071","asimpletune",[456,18,42,250,451,42],"24743481",[458,18,42,459,454,42],"24745406","other\u002Fpositive\u002Fnone",[77,461,42,250,11,41],8,[463,464,42,250,465,42],"24741040",9,"easton",[467,219,42,250,277,42],"24740757",[469,219,42,250,470,42],"24740824","linux2647",[472,219,42,250,11,41],"24740872",[474,219,42,250,11,41],"24740869",[476,219,42,250,414,42],"24740877",[478,219,42,250,11,41],"24740933",[480,219,46,371,277,42],"24740996",[482,219,42,250,11,41],"24741155",[484,219,46,485,486,42],"24741926","maker\u002Fpositive\u002Fdocs","hluska",[488,219,42,250,489,42],"24741025","dang",[491,219,42,250,486,42],"24741912",[493,494,39,429,495,42],"24744585",11,"qmmmur",[497,494,42,260,498,42],"24745051","oriolid",[500,494,42,260,495,42],"24746202",[502,494,42,260,498,42],"24747303",[504,505,46,506,454,42],"24743058",12,"project\u002Fpositive\u002Fidea",[166,31,39,429,167,42],[509,31,39,374,233,42],"24741261",[102,511,46,445,103,42],14,[513,514,39,429,334,42],"24742267",15,[516,514,42,228,11,41],"24745326",[151,518,39,228,152,42],16,[520,518,41,230,521,42],"24741354","TylerE",[523,518,42,239,433,42],"24741822",[525,518,42,239,521,42],"24741888",[527,518,42,260,152,42],"24742178",[529,518,42,239,521,42],"24742243",[531,518,42,266,433,42],"24742591",[533,518,42,260,534,42],"24742924","867-5309",[173,32,46,445,174,42],[158,537,41,538,159,42],18,"project\u002Fcritical\u002Fnone",[118,540,41,230,119,42],19,[542,540,46,445,543,42],"24740749","tgv",[545,540,42,260,546,42],"24740789","sosborn",[548,540,42,266,233,42],"24741297",[550,540,42,239,240,42],"24743306",[552,540,42,260,553,42],"24741871","rograndom",[555,540,42,556,11,41],"24740886","maker\u002Fneutral\u002Fnone",[143,558,41,538,144,42],20,[560,561,46,385,562,42],"24743662",21,"samirsd",[136,564,41,565,137,42],22,"project\u002Fcritical\u002Fdocs",[567,564,42,260,568,42],"24740758","sbilstein",[570,564,39,244,571,42],"24740814","ysw0",[573,564,42,574,137,42],"24740946","commenter\u002Fneutral\u002Fpricing",[576,564,42,577,11,41],"24741015","maker\u002Fneutral\u002Fpricing",[579,564,42,574,358,42],"24744746",[581,564,42,260,582,42],"24741631","SubiculumCode",[584,564,42,556,11,41],"24740820",[586,564,42,260,587,42],"24740914","ethanwillis",[589,564,42,556,11,41],"24740977",[591,564,39,592,137,42],"24741003","maker\u002Fneutral\u002Fdocs",[594,564,42,595,11,41],"24741221","maker\u002Fneutral\u002Fidea",[597,564,39,429,598,42],"24740975","soperj",[600,564,42,260,137,42],"24740997",[80,564,42,595,11,41],[603,564,46,604,358,42],"24745824","maker\u002Fpositive\u002Fidea",[606,564,46,485,137,42],"24740978",[608,564,42,260,417,42],"24740994",[54,564,42,429,11,41],[611,564,46,506,417,42],"24741105",[613,564,39,614,615,42],"24740829","project\u002Fneutral\u002Fdocs","magicalhippo",[617,564,39,374,618,42],"24740915","dkersten",[620,564,42,250,358,42],"24744735",[],[623,628,633,637,641,646],{"id":624,"name":625,"points":626,"category":627},"24781175","Peripherii",462,"hardware",{"id":629,"name":630,"points":631,"category":632},"24764589","Low-Level 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