|
Use youtube premimum membership to block most ads. Worth it.
"A little time, a little trouble, your better day"
Badfinger
|
|
|
|
|
You can have the same for free 
Legally!!
Bastard Programmer from Hell 
"If you just follow the bacon Eddy, wherever it leads you, then you won't have to think about politics." -- Some Bell.
|
|
|
|
|
I know blocking is free, but it's not fool proof. I've used several versions. But they have bugs, they have update failures, etc. The version I use now is solid and well maintained.
Member has a number of other benefits with such as creating a channel, etc. cheap. 20 cents a day. worth it
"A little time, a little trouble, your better day"
Badfinger
|
|
|
|
|
6 euro's a month. That's a pizza each month.
There's no bugs in the host-file, as it is not software. There's no update failures either. "The" version is the MVPS hosts file. None other. You think of it as an adblocker, which it isn't; the host file blocks hostnames.
Meaning; it does not just speed up the loading of your page, it protects you from malware being served through those commercial lines. With the added benefit that it works everywhere, for each site, not just youtube.
Bastard Programmer from Hell
"If you just follow the bacon Eddy, wherever it leads you, then you won't have to think about politics." -- Some Bell.
|
|
|
|
|
|
And how often do ad-servers change their domain?
I've not seen a break in a youtube video once; I never seen a virus either. This machine is tested from USB boot for virusses once a year, and always clean. No virus checker running, no adblocker, just a text-file that you call outdated.
Now, for a fee, I'd update it 
Bastard Programmer from Hell
"If you just follow the bacon Eddy, wherever it leads you, then you won't have to think about politics." -- Some Bell.
|
|
|
|
|
I have an MP3 file. It is an hour-long lecture on a topic about weather. I would like to find out ('seek') the exact time(s) when the word 'rainy' gets played in this MP3 file, without listening to the entire hour-long lecture.
Similar to finding a substring in a long string, but finding an audio clip within an audio file.
Does such a software functionality exist? My Google search didn't yield much.
|
|
|
|
|
I'd doubt it - it's kinda specialist stuff.
If you think about it, it needs speech recognition and MP3 processing, to get the timestamp.
There are open source SR packages though, like CMUSphinx Open Source Speech Recognition[^] for example which you may be able to modify to suit your need - but I've never used it so I have no idea how complex the whole idea would be (Guess: "lots").
Good luck!
"I have no idea what I did, but I'm taking full credit for it." - ThisOldTony
"Common sense is so rare these days, it should be classified as a super power" - Random T-shirt
AntiTwitter: @DalekDave is now a follower!
|
|
|
|
|
Thanks. Will take a look.
|
|
|
|
|
Here[^], but it is an API, not a finished software.
Don't you have a trainee, or a teenager lying somewhere doing teenaging stuff ?
|
|
|
|
|
Never thought it would involve neural nets. Seems complicated enough.
|
|
|
|
|
It's complex stuff: you saying "rainy" in a lecture won't "look the same" as Herself screaming it at the TV!
"I have no idea what I did, but I'm taking full credit for it." - ThisOldTony
"Common sense is so rare these days, it should be classified as a super power" - Random T-shirt
AntiTwitter: @DalekDave is now a follower!
|
|
|
|
|
Surely there should be something invariant between these two utterances of 'rainy'.
|
|
|
|
|
Broadly there are similarities, but ... most males speak at a lower pitch than most females, and have thicker vocal chords - so that will affect the MP3 data. And think about accents for a moment. I don't know about regional speech differences in India, but I'd suspect that there would be a significant difference in accent between someone from Dehli and a resident of Tamil Nadu (most of my Indian friends are [ex]Malaysian Tamils so I don't hear different regions enough to identify an accent)
Certainly the way a Glaswegian would pronounce a word would give a very different waveform to that of a Londoner, a Brummie, or a Liverpudlian. And then you get to Welsh or Irish natives ...
I don't think there is anything you could rely upon to identify a generic word as a part of a MP3 file without some form of speech recognition.
"I have no idea what I did, but I'm taking full credit for it." - ThisOldTony
"Common sense is so rare these days, it should be classified as a super power" - Random T-shirt
AntiTwitter: @DalekDave is now a follower!
|
|
|
|
|
Yes. I understand. So many variations. Finding an invariant is hopelessly difficult, what they call as a hard problem.
|
|
|
|
|
You could have listened to an hour of it by now
Life should not be a journey to the grave with the intention of arriving safely in a pretty and well-preserved body, but rather to skid in broadside in a cloud of smoke, thoroughly used up, totally worn out, and loudly proclaiming “Wow! What a Ride!" - Hunter S Thompson - RIP
|
|
|
|
|
If I had one file, I wouldn't have asked. I have at least 100 files, and have heard them once at least, and would like to find whether certain keywords occur in them. Something like batch-processing is what I an looking for. That's why I asked.
|
|
|
|
|
Fur enuff
Life should not be a journey to the grave with the intention of arriving safely in a pretty and well-preserved body, but rather to skid in broadside in a cloud of smoke, thoroughly used up, totally worn out, and loudly proclaiming “Wow! What a Ride!" - Hunter S Thompson - RIP
|
|
|
|
|
Run the files through a (batch) speech recognition program and dump the whole thing to a text file. You can (re)search the text without having to go back to the mp3. Looking at a file in its entirety will help in deciding how to "train" the (ML) process.
Transcribe your recordings
"Before entering on an understanding, I have meditated for a long time, and have foreseen what might happen. It is not genius which reveals to me suddenly, secretly, what I have to say or to do in a circumstance unexpected by other people; it is reflection, it is meditation." - Napoleon I
|
|
|
|
|
Yes and no.
The similarities can be washed out by the noise in the sentence, particularly with all of the different accents/varieties of English that are spoken around the world.
Also, just identifying word endings can be tricky. Picking out words from "rainy days" can give "rainy days", "ray knee days" or "ray need as'" without changing the sound.
|
|
|
|
|
The answer in that link leads to the VOSK project[^], which in turn has a page that lists several projects that integrate the VOSK toolkit. One of those projects is pretty much exactly what the OP is asking for: mp4grep[^]. Looks like it's Linux-only, and using it is a two-step process unless you happen to be starting with a 16khz wav file, but it appears to automate the process of using speech recognition to generate a timestamped transcript, and then grep'ing the result to find the word or expression of interest. I didn't actually try to use it, so I can't vouch for its quality, but it looks pretty neat if it works!
|
|
|
|
|
use a text to speech tool that generates .VTT close captioning files. Each snippet of a few words will have a timestamp to indicate when it's displayed.
Azure has an API for it, and I think AWS has recently upgraded their video to text processing tools to offer the same.
Did you ever see history portrayed as an old man with a wise brow and pulseless heart, weighing all things in the balance of reason?
Is not rather the genius of history like an eternal, imploring maiden, full of fire, with a burning heart and flaming soul, humanly warm and humanly beautiful?
--Zachris Topelius
|
|
|
|
|
To get a feeling for how reliable such systems are, get yourself a YouTube account so that you can upload a few files there, and play them back selecting 'Auto generated' subtitles.
A few years ago, that function tried to autogenerate subtitles even from instrumental music, which could lead to some really funny results. Today, it just says [music], if it cannot detect any vocal part. For vocal music, it quite often misinterprets. For speech, it is surprisingly good, as long as the background noise level is low, the speech is distinct and only one person at a time is speaking.
For English only, of course. (I assume that those who really put resources into this kind of stuff also has high performance versions for Russian speech, but don't expect that to be released to the civilian society  .)
|
|
|
|
|
I'm well aware of the limitations in computerized speech to text. The versions offered as services by the big tech companies are the least bad ones available though.
I've never looked into generating non-english transcripts/captions.
Did you ever see history portrayed as an old man with a wise brow and pulseless heart, weighing all things in the balance of reason?
Is not rather the genius of history like an eternal, imploring maiden, full of fire, with a burning heart and flaming soul, humanly warm and humanly beautiful?
--Zachris Topelius
|
|
|
|
|
MP3 to text conversion would be step 1?
"A little time, a little trouble, your better day"
Badfinger
|
|
|
|
General 
News 
Suggestion 
Question 
Bug 
Answer 
Joke 
Praise 
Rant 
Admin 
Submit an article or tip
