2016-07-26.log

--- Log opened Tue Jul 26 00:00:07 2016
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archels"A Bayesian is one who, vaguely expecting a horse, and catching a glimpse of a donkey, strongly believes he has seen a mule."03:05
ebowden_lol03:12
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kanzurenmz787: yes tdt has low efficiency, it falls off after adding one or two nucleotides, and only adds up to ~25 nt but i think this can be improved with selection experiments.06:37
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JayDuggerGood morning, everyone.07:26
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kanzurehttp://www.the-odin.com/diy-bacterial-crispr-kit/08:09
ebowden_Oh cool.08:12
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kanzure.wik galantamine08:24
yoleaux"Galantamine (Nivalin, Razadyne, Razadyne ER, Reminyl, Lycoremine) is used for the treatment of mild to moderate Alzheimer's disease and various other memory impairments, in particular those of vascular origin." — https://en.wikipedia.org/wiki/Galantamine08:24
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kanzurei wonder what ralph merkle thinks about the ethereum hard-fork. since he has switched to ethereum and "smart contracts". heh.08:53
JayDuggerUmm...did he mention it in that LTB podcast?09:01
JayDuggerSorry, https://www.youtube.com/watch?v=dvzpvXLbpv4, Epicenter Bitcoin.09:02
kanzureno, he pubished a paper09:25
kanzureinstead of working on molecular nanotech :\09:25
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CaptHindsighthow many people would buy a $3k POSaM + PCR + CRISPR Kit?09:44
kanzurewell, i don't really have a use for dna hybridization, so... not me. if it did conjugation and ligation, yeah sure. i'd buy a $15k version, a $20k version, etc.09:46
CaptHindsightthat version will cost a bit more at first09:47
CaptHindsightprobably add a zero09:47
kanzurewhy $200k?09:48
CaptHindsightsomeones gotta pay for our time09:48
gnushahttps://secure.diyhpl.us/cgit/diyhpluswiki/commit/?id=ca9cc72a Bryan Bishop: render petertodd things >> http://diyhpl.us/diyhpluswiki/transcripts/mit-bitcoin-expo-2016/fraud-proofs-petertodd/09:51
maakuMerkle had a looong oped in the latest issue of Cryonics about DAOs09:57
CaptHindsightin medicine when a gene is considered a defect, how many base pairs have to be different to be considered a defect?09:57
kanzuremaaku: hopefully this ethereum blunder will convince him to work on other more interesting problems09:58
kanzureCaptHindsight: so far biologists have studied "single nucleotide polymorphisms" the most, but there are other kinds of changes of course.09:58
kanzuretweetosphere blowing up https://twitter.com/kanzure/status/75796271610331136009:59
CaptHindsightreferring only to single gene disorders10:00
kanzuresynthetic viruses are a good delivery tool for crispr gene editing stuff10:01
kanzureeventually we will deploy an app store and such10:01
CaptHindsightsynthetic gene store10:02
CaptHindsightorder before 5 and click same day shipping10:02
CaptHindsightorder 3 or more genes and get one free virus for delivery10:03
CaptHindsightfor example with CF or sickle cell how much of the gene is actually wrong/defective?10:05
CaptHindsightthey have IDed 1000 variations in the CF gene10:06
CaptHindsightThe most common mutation (in 70% of cystic fibrosis patients) is a three-base deletion in the DNA sequence, causing an absence of a single amino acid in the protein product.10:06
CaptHindsightlooks like an easy fix10:07
CaptHindsightso why no gene therapy yet for this?10:07
CaptHindsightoh it's in clinical trials10:08
nmz787_iCaptHindsight: CF has done gene therapy trials before... as I recall, first patient seemed to be succes, second's immune system reacted MUCH MUCH more than the first's and killed the person.... so dose-response varies MUCH more widely with that tech ( pretty sure that was viral packaging the fix )10:19
nmz787_ithat memory is from about 6 years ago10:19
nmz787_iCaptHindsight: that is precisely why CRISPR trials are getting so much attention10:20
nmz787_ibecause there is great precendent, but also great promise10:20
nmz787_i(greatly horrible precendent?)10:20
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CaptHindsightlast year the Chinese did some tests on non-viable human embryos using CRISPR10:24
CaptHindsightwasn't it something like 4 out of the 30 that worked and the others had odd mutations10:25
CaptHindsightonly four had the desired CCR5 mutation out of 4510:26
kanzurebetter to stick with viral gene therapy10:26
CaptHindsightOn the plus side, the team did not find any unintended mutations in the embryos,10:27
CaptHindsightI'd like to see the actual results10:27
CaptHindsightwhat are the reasons for immune system response in the gene therapy with viral delivery?10:28
kanzureimmunological attack10:28
CaptHindsightpoor choice of virus? virus not modified enough?10:28
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CaptHindsightwhat are the exact triggers?10:29
CaptHindsightfrom my outsiders perspective I'm surprised by how much info is still missing10:30
CaptHindsightlooks like a wild west for research in all of this10:30
CaptHindsightand the ethical arguments are like listening to right wing radio10:31
nmz787_iCaptHindsight: definitely wild west10:33
CaptHindsightwhat was behind the lack of stem cell research during Dubya term? Drug co roadblock or fear of offending the invisible angry man that lives in the sky?10:33
nmz787_iDubay...Dubai? THE CONNECTIONS!!!!10:34
nmz787_iCaptHindsight: I thought it was religion10:34
CaptHindsightDubya/Dubya's10:35
nmz787_iwww.www.www10:35
CaptHindsightIn 2005, the State of California took out $3 billion in bond loans to fund embryonic stem cell research in that state.10:38
CaptHindsightJesus, how do you blow 3B on this and have so little to show for it?10:39
CaptHindsightvery carefully10:39
CaptHindsightand purchase everything through Sigma10:40
nmz787_iCaptHindsight: QC is a major issue with this kind of research10:42
nmz787_iand clinicial trials in general10:42
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kanzureCaptHindsight: here are some things about gene therapy,10:43
kanzurehttp://diyhpl.us/~bryan/papers2/gene-therapy/Engineering%20adeno-associated%20viruses%20for%20clinical%20gene%20therapy%20-%202015.pdf10:43
nmz787_ias far as we know, sigma's purity/quality certificates aren't fake10:43
kanzurehttp://diyhpl.us/~bryan/papers2/gene-therapy/Genome-editing%20technologies%20for%20gene%20and%20cell%20therapy%20-%202016.pdf10:43
kanzurehttp://diyhpl.us/~bryan/papers2/gene-therapy/Therapeutic%20genome%20editing:%20prospects%20and%20challenges%20-%202015.pdf10:43
kanzurehttp://diyhpl.us/~bryan/papers2/gene-therapy/Non-viral%20vectors%20for%20gene-based%20therapy%20-%20review%20-%202014.pdf10:44
kanzurehttp://diyhpl.us/~bryan/papers2/gene-therapy/Two%20decades%20of%20clinical%20gene%20therapy%20-%20success%20is%20finally%20mounting%20-%202010.pdf10:44
nmz787_iCaptHindsight: I wonder if any of that money went to lobbying10:44
CaptHindsightI want to read over that CF case that ended badly10:44
CaptHindsightyou modify 3 base pairs in one gene, deliver by virus and the immune system went nuts10:45
CaptHindsightselling the tools for simple gene mods like this could fund all the crazy full genome synthesis10:48
kanzureautodesk has a synthetic virus production line that they have funded10:49
nmz787_imaybe this was the person, but I thought it was specifically about CF that I am remembering https://en.wikipedia.org/wiki/Jesse_Gelsinger10:49
nmz787_iCaptHindsight: looks like a CF trial had issues where virus genes turned up in the liver10:49
nmz787_ihttp://www.jyi.org/issue/evaluation-of-the-clinical-success-of-ex-vivo-and-in-vivo-gene-therapy/10:49
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nmz787_ilast interactive thing here is good, but no citations http://learn.genetics.utah.edu/content/genetherapy/casestudy/10:50
nmz787_imaybe this http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2570152/10:50
nmz787_i.title10:50
yoleauxGene Therapy Using Adeno-Associated Virus Vectors10:50
kanzure2008?10:50
CaptHindsightthose idiots should have known better10:50
nmz787_ikanzure: I'm sure there is a more recent version10:51
superkuhAppropriate username.10:51
CaptHindsightInclusion of Gelsinger as a substitute for another volunteer who dropped out, despite Gelsinger's having high ammonia levels that should have led to his exclusion from the trial;10:52
kanzure"Photosensitivity of neurons enabled by cell-targeted gold nanoparticles" http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4393361/10:52
CaptHindsightbad choice of virus10:52
nmz787_i'bad' == 'only' quite possibly back then10:53
CaptHindsightthe cancer trials using the cold virus haven't ended in any deaths10:54
CaptHindsightI guess they were hoping things would go well and for the associated fame10:54
nmz787_iI am unfamiliar, but viruses can have specific entry-points, or organs they target10:54
CaptHindsightwhat makes them so great for delivery10:55
CaptHindsighthow well is that understood?10:55
CaptHindsightthe chemistry of their membranes10:56
CaptHindsightand target cells10:56
CaptHindsightseems once this gets fully mapped out you can deliver whatever fits into a given virus that matches the target cells10:57
CaptHindsightthen it's on to synthesizing customized viruses vs modifying found10:58
kanzureautodesk's synthetic virus stuff is re: dog cancer, it's a personalized synthetic virus10:58
kanzurespecifically targeting only that one dog patient's cancer10:58
CaptHindsightfor cancer they have use Cold, Polio, Measles and HIV10:58
CaptHindsightautodesk also funded a SLA printer10:59
CaptHindsight>100m for a oxygen permeable membrane that you don't even need to print as fast or faster that it can11:00
CaptHindsight>$100m11:00
CaptHindsighthttp://carbon3d.com/11:02
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CaptHindsighthttps://www.autodeskresearch.com/blog/hacking-viruses11:04
CaptHindsighthttp://bionano.autodesk.com/11:04
kanzureyep that's them11:05
kanzureandrew is the one from the human genome project11:05
CaptHindsightImport Cadnano format design files  oh god not here to11:05
CaptHindsightall we need are DNA files in proprietary autodesk format11:06
kanzurecadnano is open-source https://github.com/cadnano11:07
CaptHindsightfor how long?11:07
CaptHindsightits Autodesk11:07
kanzureCaptHindsight: they asked me to quit my job and work for HGP instead, http://diyhpl.us/~bryan/papers2/bio/The%20human%20genome%20project%20-%20write,%20hgp-write%20-%202016.pdf11:08
CaptHindsightand write software for them?11:08
kanzurerun the project... organize teams, make up software roadmaps, etc.11:09
kanzurerelease synthetic viruses unto the ocean.... and such.11:09
CaptHindsightare they actually trying to make anything?11:09
kanzurehuman genome synthesis, synthetic viruses, dna synthesis tech11:09
CaptHindsightor is this just a big fund raiser?11:09
kanzurethey are raising $100-250 million, yes11:10
CaptHindsightthat's all I expected11:11
kanzurewell they will need to actually do something. which is where i come in. if they don't know what to do then i have a long list of things they should be doing.....11:11
CaptHindsightwould be nice if they build something that works11:11
Aurelius_Work2kanzure : you accepted?11:11
kanzureyes building things should be highest priority11:11
kanzureAurelius_Work2: sort of? it's still being defined.11:12
CaptHindsightif they want sub-contract out the "build something" part I know people that do that  :)11:12
kanzurei want the mto be committed to this. i still need to bring them an actual proposal. this is partly the reason for the polymerase draft doc that we have been editing last few days..11:13
CaptHindsightI'm really good at developing acronyms as well11:14
kanzureah sounds like you'd fit in with the military11:15
kanzurefor some reason they estimate it should take 10 years to synthesize only one human genome molecule. but i think we can do better than that.11:16
CaptHindsightlike always, it depends on who is doing it11:16
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kanzurethey are modeling this off of the synthetic yeast project and such (see the refs in their hgp-write paper)11:17
CaptHindsightnumber conveniently pulled from thin air11:17
CaptHindsightalso safe, no rush11:17
kanzurewell that's only $10M/year if it's 10 years and only raising $100M/year. $10M wont do much, unless you have the right team.11:18
CaptHindsightBrain Research through Advancing Innovative Neurotechnologies (BRAIN) initiative centers]11:18
CaptHindsighthow many people do you need?11:19
CaptHindsightI'll be done way before then11:19
CaptHindsightkind of pointless since not all gets used anyway11:20
CaptHindsightthe tools are easy, what they should focusing on is all the cross referencing, proteins, immune system chemistry etc11:28
kanzuretools are easy, but only when people are working on them11:36
CaptHindsightin 10 years you'll be able to order them on alibaba11:38
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kanzureCaptHindsight: i think it's clear that most of biologists are not tool builders. so we have to outline the plan for them.12:40
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kanzurehazirafel: duper: hi.13:25
duperhi14:05
CaptHindsightkanzure: I'm not sure how much biology they do either since there is so much missing info14:14
kanzurethey haven't started yet. afaik.14:15
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nmz787_ikanzure: "falling off" explains nothing to me about 'efficiency' in terms of overall polymerization though, it can just hop back on in a moment... 25nt limit seems like it could be related to oligo interfering somehow, but a hard limit like that also seems to be unrelated to 'efficiency'14:35
nmz787_iI mean, in synChem efficiency is just statistical chance extension will happen each round, most things I've read have been a simple scalar, not an equation14:36
kanzureyes i think the mechanism limiting tdt to 25 to 50 bp is not known at the moment14:36
nmz787_ii.e. 98%14:36
nmz787_inothing about 25nt the efficiency changes, etc14:36
nmz787_i(i mean, it seems we aren't comparing apples to apples even though we are using the same word 'efficiency')14:36
kanzureit's a little strange that the de novo dna synthesis capabilities of vent polymerase are not more seriously characterized14:36
kanzurei guess nobody has a strong use case for random dna14:36
kanzureor its friend, "deep vent polymerase"14:37
kanzurethere was something in one of these papers that mentioned tdt purification was a really annoying procedure, or some other set of problems14:38
paskyWe now have an MVP for our custom image classification tool - http://images.ailao.eu:7777/ - thoughts, ideas, usecase candidates, or pointers to potential customers welcome :)14:41
kanzurepasky: btw did you see this one? "Synthesizing the preferred inputs for neurons in neural networks via deep generator networks" http://arxiv.org/pdf/1605.09304v1.pdf14:44
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kanzurepasky: one of the projects that maaku wants to work on (and for me to fund) is live real-time audio transcription of the type that i do at events ( http://diyhpl.us/wiki/transcripts/ ). any chance that you could put some effort into that?14:48
paskykanzure: oooh that's awesome! thanks14:49
kanzureand http://diyhpl.us/~bryan/papers2/ai/Towards%20an%20integration%20of%20deep%20learning%20and%20neuroscience%20-%202016.pdf14:50
paskykanzure: sorry that doesn't fit that well into what I'm doing now14:50
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kanzurehttps://www.src.org/calendar/e006096/#tab-agenda14:59
kanzure"plant electronics" is interesting. i guess someone got tired of stringing up the lights on xmas trees.15:03
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kanzure"The Harvard Stem Cell Institute recently said they would start GDF11 human trials in 2026.  2026?  Well some of us may not make it that long.  At least now, the GDF11 door has been kicked wide open and my small, courageous GDF11 cohort has helped determine a safe and effective dose."15:05
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maakupasky: yes I owe kanzure a project writeup with costs15:25
maakuI see it as more than just solving a specific near-term problem though, and would like this to be part of a larger NLP / semantic processing project15:26
maakunear term goal is definately just transcription related though15:26
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paskyit's very interesting for me mid-term+long-term but not short-term15:34
paskyI'm looking at bootstraping a revenue-making business here so that these efforts can become self-funding and progress grows fast15:34
ebowden_Oh, what's the revenue maker?15:35
kanzurepasky: i think transcripts are more likely to make money than image classification in the short-term :)15:35
kanzureeven semantic markup of audio streams (if transcription is too difficult)15:36
paskykanzure: who are the customers?15:38
paskyebowden_: for me, people who want machine learning; the trouble is, people usually want solutions, not machine learning, and you get busy developing the end-to-end solution and never get around to plugging in substantial machine learning, which is annoying and we're still trying to figure out ways around that15:39
paskyso image classification is one of the best well-formed tasks that's actually possible to explain briefly, which is why we started with that15:40
ebowden_Wanting solutions and not what you want? Those monsters!15:40
paskyeven though I'm much more interested in NLP15:40
paskyebowden_: yes, really!15:40
kanzurepasky: for transcription? any business that has a meeting, so essentially all of them. N employees sitting around a table * avg hourly salary per employee, with an 8 person meeting you're spending $800/hour so you might as well throw a few bucks towards having a log.15:40
paskyhmm, so why isn't anyone doing it yet?15:42
paskyit makes sense15:42
kanzurein the past, it was annoying to setup because nobody had microphones laying around, or you would have to dial in an extra service or something15:43
kanzurebut now since most employee meetings involve many smartphones, the interface can be much easier to setup15:43
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paskyI'll be thinking about that; you have a lot of transcripts, do you also have the audio recordings for some of these?15:45
maakupasky: don't get trapped in the consulting rabbit hole. make products15:45
paskyfor audio labelled training data is always big part of the pain15:45
maakupasky: audiobooks15:45
kanzurethere are dial-in services for delayed transcription i think, like some person on the other end of the line listening to the whole conversation, but i think people prefer near real-time output on a display or something. instead of just a black hole where you get a document back a few days later.15:45
kanzurei don't have audio for many of these. there are some youtube videos, sometimes...15:46
maakukanzure: there are those two. we used one at the virtual institutes at NASA15:46
paskyaudiobooks vs. smartphone input of room full of random people seated differently is huge difference15:46
kanzureaudiobooks is a better idea.15:46
maakuthey would do "real-time" transcriptions of scientific talks15:46
paskyand audiobooks are basically entirely unaligned15:46
maakubasically the same as closed captioning on 24/hr news (another target market)15:46
kanzurepasky: you could play the audio and then apply noise, make it play in a 3d environment and add noise, e.g. like all those stupid second life projects15:46
maakupasky: walk before you run15:46
kanzuremaaku: who does real-time transcriptions of scientific talks ? nasa itself?15:47
paskyi think the different speakers (plus different accents) are the most important missing ingredient15:47
kanzureor are they contracting that out to some company?15:47
maakukanzure: some contractor in colorado, don't know details15:47
maakuwas a federal contract15:47
kanzureweird.15:47
paskyone idea i seriously entertained was learning speech synthesis using different voices from audiobooks15:47
kanzurethink of all the science they are losing by not recording everything :)15:47
paskythe advantage is that it's easier to align the data15:47
paskybut i suppose you could do it in reverse too15:48
maakupasky: mid-term for this project I'd like to wear a pebble watch (or something) that does a nice weblog of my daily interactions15:48
kanzurealso it's possible that voice recognition is a hard problem and maybe google/amazon is the only one with enough data to get audio recognition right15:48
paskymaaku: battery15:48
kanzurebattery is not a concern for audio recording15:48
paskyi thought pebble has a small battery15:49
paskymaybe i'm wrong15:49
maakuit has a 7-day battery15:49
paskyaudio recording is probably cheaper than transmitting the waveform somewhere else15:49
paskymaaku: 7-day for typical pebble power draw15:49
kanzurethis is a dumb argument. we can trivially build long-life audio recording equipment.15:50
maakurecording is only going to reduce that by a small (<10x) factor15:50
maakubut yes what kanzure said15:50
kanzureif we can't build audio recording equipment then we might as well give up on life15:50
paskyyes, i didn't want to get into that argument, sorry15:50
maakuI have a cheap chinese made wristband recorder that lasts 20hrs on record15:50
paskyafter all for the near-term usecases you don't need battery15:51
pasky(or it's a damn smartphone)15:51
kanzure"Phone recognition for mixed speech signals: Comparison of human auditory cortex and machine performance" https://www.semanticscholar.org/paper/Phone-Recognition-for-Mixed-Speech-Signals-Chang-Edwards/7d9881141b42da2e63d363732406647dd5df838d/pdf15:51
maakupasky: there's obvious DARPA uses for this technology (or whatever your local european equivalent is)15:51
paskythat's what concerns me :)15:52
maakuyes well it's not the tool but who uses it...15:53
kanzureeven without actual transcription, having topic highlights would still be useful15:53
kanzuresuch as for jumping around in audio streams15:53
ebowden_Let's not make medicines either. Did you know that the military uses medicines!?15:53
maakuebowden_: in all seriousness I think pasky is right to be concerned ;)15:54
kanzureyou could have something that spits out the 3 locations where a certain word or cluster of words were said15:54
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kanzureand then use that instead of randomly hopping around a long video feed or whatever15:54
ebowden_Because it could drastically facilitate mass surveillance?15:54
maakuI'm talking about technology that if subvertly installed on people's phones or baseband processors could record and process every conversation everywhere15:55
paskyi really think the main problem is data, i think audiobooks won't do much good - but what i'd be curious about is how well do the stock speech to text engines do on audiobooks15:55
kanzureif your concern is that audiobooks don't have enough noise, it is trivial to add noise to any audio stream15:56
kanzureyou can even look at common types of noise in speech recognition tasks, and emulate those specific types of noise15:56
pasky00:47 < pasky> i think the different speakers (plus different accents) are the most important missing ingredient15:56
kanzureaudiobooks can give you accents actually15:57
kanzurebut unfortunately i don't think we have a large freely available audiobook corpus anyway15:57
paskyyou could stitch together different audiobooks15:57
paskywhy does it have to be free?15:57
kanzurebecause who wants to spend $20,000 on books at amazon.com?15:58
kanzurehave to get the data somehow15:58
kanzuremaybe there's a giant torrent15:58
paskyi don't think you need that much data15:59
ebowden_pasky, have you considered that intelligence bodies might already possess this capability?15:59
kanzureit's not like they will give you the tech if you ask them nicely, ebowden16:00
paskyyou can easily get thousands of hours e.g. from song of ice and fire, harry potter, discworld audiobooks, and at some near point your available gpus become the limiting factor16:00
kanzureer how many hours do you need? i was expecting... a lot.16:01
ebowden_kanzure, I know, but what it could mean is that developing such tech might not give such actors any new capabilities.16:01
paskyI'd expect you could train a decent domain-limited speech to text engine from a single harry potter audiobook, the much bigger problem is data16:01
kanzureebowden_: imho i think deploying it as a service would be the place of concern. they will intercept all the audio and transcripts.16:01
paskyjust having an audio stream and text stream is definitely not enough, you need alignment and the more alignment the better16:02
paskybut you could abuse an existing speech reco engine to get that16:02
kanzurepasky: oh that's a really small amount of audio. interesting.16:02
paskyso all in all, this sounds like a really fun experiment16:02
kanzurewell, actually, alignment isn't too bad16:02
paskyi wish i had the time :(16:02
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ebowden_pasky, you could make your own spy agency! :D16:03
kanzureyou spit out some text, and then you run some text distance similarity between the generated text, and then similarity against all N word phrases from the book16:03
kanzurein fact, you might not want alignment16:03
kanzurefor example: if the model *misses* an entire word, that's fine, in comparison to getting the rest of the sentence wrong.16:03
kanzurealso i think a prank version of this could be made, where instead of acutal speech recognition, it just spits out anything that sounds vaguely similar to the words.16:04
paskybut in fact, this gets really complicated because the first question is, what's actually the task here, formally? on the input you have a time series of cepstral coefficients or something, on the output...?16:05
kanzuretask is to replace my typing activities16:05
paskythat's not the formal version ;-)16:05
paskythere's all kinds of time warping you may want to do, and then decide to maybe label the time series with phonemes, or do something else16:06
kanzurespeaker recognition would also be an interesting task to start with.16:06
paskybut for that you need some target variable value for each time step, i.e. phoneme-level alignment16:06
ebowden_Sometimes I wonder if building little wetware brains and training them would be easier than this.16:07
paskykanzure: if the company, for these 8 people, have hours of voice recordings where only they are speaking, that's totally doable!16:07
pasky*they = each one16:07
kanzurewell, they probably have hours of them speaking, but it's probably a disjoint hour, heh16:07
paskythat's no problem, but it's unlikely it'll be *only* them speaking16:07
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maakukanzure: I have the harry potter audiobooks16:08
maakuthat's more than enough to get started.. that guy has incredible voice range too16:08
paskymaaku: i think running a stock speech to text engine (cmu sphinx, kaldi, ?julius?) on the audiobooks would be a great experiment and baseline16:09
maakupasky: agreed. and thanks for the starting list of engines16:10
kanzuremaybe the solution is to just donate my brain to science and then we can see what neural connectivity is appropriate for this problem16:11
kanzurethere's a lot of real-time adjustment that i do when i'm typing like that16:11
kanzurebased on the speaker16:11
kanzureibm was using 2000 hours of audio for training http://arxiv.org/pdf/1505.05899.pdf16:13
kanzure"The most relevant data are the transcripts of the 1975 hour audio data used for training the acoustic model, consisting of about 24M words."16:13
paskyyep that's the ballpark i expected16:16
paskymaaku: there are two versions of the audiobooks btw - https://www.youtube.com/watch?v=zbd2mzpYRrE16:16
paskyi listened to the UK one, so I prefer it ;) but voldemort is better by jim dale16:17
kanzureNIST speech data http://www.itl.nist.gov/iad/mig/tests/spk/16:17
kanzurehttp://www.lscp.net/persons/dupoux/bootphon/zerospeech2014/website/16:19
kanzureso....16:27
kanzurewhy are all these speech recognition papers about words? when i'm typing, i am typing characters, not words.16:27
paskyhow do you figure out what characters to type?16:29
paskyand how often are the characters not parts of words?16:29
paskyin, say, japanese, character-level transcription would be probably a lot more tractable16:29
kanzurei type what sounds right16:29
paskywhat sounds right is determined by the words they form16:30
paskyfurthermore, even the word context is important, i.e. the language model16:30
maakupasky: in Japanese I would think you would need a semantic component to figure out what characters16:32
maakuactually maybe a markov model is sufficient16:32
maakupasky: regarding your company have you done any work towards selling products directly?16:39
nmz787_ikanzure: can't you just abuse google translate (english audio in, english out)... or google voice (pass your recorded audio through google voicemail, which gets transcribed and emailed to you)? I mean, I get wanted 'your own' solution.16:40
paskymaaku: we have one paying customer for the vize.it product already (not the frontend, but using the backend) and getting in touch with a few others16:41
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nmz787_ii've used google translate in the opposite way, text in, MP3 out16:41
nmz787_ihttps://github.com/pndurette/gTTS16:43
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kanzurenmz787_i: google translate will block you after a certain number of queries16:47
kanzuremaaku: there's also some interesting ways to "cheat" with speech recognition. you don't have to type what was said. all that matters is that you type something that is vaguely similar and holds most of the same semantic meaning.16:48
streetythat seems more like a "cheat" for transcription, you still need speech recognition to be good enough to get the meaning16:53
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kanzurewell there other things you can cheat at; you don't need the exact words, you can often use other words.17:02
kanzureor different spellings17:02
kanzure"An example of such a system is the MIT Spoken Lecture Processing project [8], where the developers had collected ove 500 hours of recordings, of which more than 200 hours had been transcribed. Each lecturer had between 1–30 hours of speech .. language models were trained on more than 6 million English words. This system achieved a Word Error Rate (WER) of 17% [9]."17:05
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kanzure" Kemp et. al [11] found unsupervised training to decrease WERs from 32.1% to 20.6%, using as little as 30 minutes of transcribed and 50 hours of untranscribed data"17:06
kanzurefrom http://www.nwu.ac.za/sites/www.nwu.ac.za/files/files/v-must/Publications%202014/devilliers-2014-lecture-transcription.pdf17:06
nmz787_iwell it is past EOD and no news on Lightning Terminators...17:15
nmz787_imaybe I'll have a friend with a business (and lab address with lease papers) email try17:16
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kanzurehmm, the japanese parliament has been running speech recognition since 2010 https://www.semanticscholar.org/paper/Transcription-System-Using-Automatic-Speech-Kawahara/6e033da6944b39d50b5b785bd786250c502b01d4/pdf17:17
nmz787_ihttp://hackaday.com/2016/07/26/pressure-formed-parabolic-mirror-from-a-mylar-blanket/17:17
nmz787_i.title http://www.techbriefs.com/Briefs/May98/GSC13783.html17:27
yoleauxNASA Tech Briefs Archive :: NASA Tech Briefs17:27
nmz787_i"Deflection of Circular Membrane Under Differential Pressure"17:27
kanzuremaaku: http://diyhpl.us/~bryan/papers2/ai/speech-recognition/?C=M;O=A17:28
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kanzureyashgaroth: hi19:00
yashgarothyo19:00
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kanzurehm.20:00
kanzure"Successful serial recloning in the mouse over multiple generations" http://www.cell.com/cell-stem-cell/fulltext/S1934-5909(13)00008-820:05
kanzure".. Previously, we proposed that repeated rounds of genomic reprogramming via serial cloning might lead to an increase in efficiency over successive generations because of the selection of easily reprogrammable cells. Disappointingly, however, it has been found that the success rate in fact decreased with each iteration. In one study, only one cloned mouse was produced in the sixth generation from more than 1,000 nuclear transfer ...20:05
kanzure... attempts—but it was cannibalized by its foster mother (Wakayama et al., 2000)."20:05
yashgarothlotta problems with somatic cell cloning b/c of mutations that accumulate over time; methylated CpGs regulating genes for a different tissue type that'll get mutated20:10
kanzureyashgaroth, if i decided to reign viral chaos unto the lands would you join me in support20:11
yashgarothya ok20:11
kanzurekthx20:12
yashgarothnp20:12
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kanzuremaaku: okay another interesting cheat we should propose using is to simplify the target language and insist that everyone speaks the simplified sound system20:40
kanzuremaaku: we could also do some other tricks like, having the speaker's smartphone relay data through ultrasound regarding their speech style and other gotchas20:41
fennbeep boop21:38
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