Dear All,
I'm glad to present to you free music recognition robot AudioTag.Info (http://audiotag.info).
AudioTag.Info (http://audiotag.info) - is a free music-recognition service. It allows you to identify almost any unknown piece of music quickly and easily. Its use is very simple: you upload a short audio fragment or an entire song, the robot analyzes it and provides you with the information about the track title, artist name, album title, etc. Your audio fragment can be in almost any file format and of almost any quality (aurally recognizable, of course) — it can be an MP3 file downloaded from the Internet or a short recording made with your old tape recorder and stored as a low-quality WAV file.
The project enters beta-testing stage now.
Please visit, impress, test and report if you find any error or misbehavior.
Thanks.
Sorry, a quick question. Do moderators for some reason think that this news isn't worth publishing it on the main page?
I'm just interested in letting people know about this project. The project is absolutely free so I though it might be interesting/useful for people.
Looks interesting. Did you write the fingerprinting algorithm yourself or is this using musicbrainz or something similar? By the way, love the "prove you are human", very witty.
Qest,
thanks for your feedback.
All I can say about the algorithm is that it is proprietary (not MusicBrainz, etc). I cannot disclose details here, sorry.
The algorithm is much more precise than of MusicBrainz, Tunatic and others. You can play with audiotag robot and ensure in that by yourself.
I believe, FAQ there answers most of possible questions.
Though I'll be happy to answer every.
Just for your information:
* you can see now "live statistics" at the bottom of the main page showing DB size and number of recognized music queries.
* also, a blog has been added allowing users to comment, discuss, leave feedback.
Hello,
I thought this forum is for submission of news, and that after approval the news from here go to the main page,
but it seems that I was wrong and the news are actually filtered.
Really, I don't know why the information about AudioTag isn't worth placing at the main page.
Will appreciate to get some feedback from moderators.
Cheers.
I tried it once and didnt really liked
1 it gives me error 4-4 is not equal to 0, so now ama robot
2 it failed to recognize 30s flac recorded tru mic, and guessed the mp3 version, exacly this way acting winamps gracenote
1 it gives me error 4-4 is not equal to 0, so now ama robot
2 it failed to recognize 30s flac recorded tru mic, and guessed the mp3 version, exacly this way acting winamps gracenote
1. I was reported about 4-4 captcha bug. I'll fix it.
2. There is no magic, but pure DSP processing - of course the algorithm is not absolute, but it has proven its efficacy on very noise recordings, phone recordings, etc. But... faults happen - your case is example.
captcha bug is fixed.
Direct URL support is on the way.
(to identify audio from the web without the need to upload file).
http://audiotag.info/blog/?p=11: (http://audiotag.info/blog/?p=11:)
Now you can recognize files directly from the Web by specifying direct URL.
Usually how the News Submissions forum works is that if any moderator finds the submission worth posting, they post it. It's a pretty ad hoc process, generally-speaking.
No offense meant to your project, it seems interesting, but I'm not personally convinced it's front page material.
Canar, thanks for your feedback.
Well, I understand the point.
Honestly, I was sure that this service is potentially interesting for the people because there is actually no such services available on the web. There are only services which require special software download and installation, while AudioTag works/available purely online. But well, if you do not find it interesting - no problem. I can update the audience about the project news here, in this topic. If you think this is improper - you can delete this topic and I'll not post about AudioTag on hydrogene anymore.
I think that your service is most definitely "potentially interesting", and would certainly like to see future updates posted here.
Canar's point is simply that not every new product or service that is of interest to this board can be promoted to Validated News, we regularly move numerous threads from Submitted News to other forums.
I have actually already used your service three times: once to test (successful), once to identify a clip uploaded to this forum (fail, track was not English or Russian), and once in an attempt to tag a track which I had no idea of its heritage (successful, thanks).
Thanks, Synthetic Soul, I'm glad to hear you find it useful and helpful.
There are many ideas on extending this service. I'll keep you all posted here if you're interested.
Thanks aradzish, I just tested the site with a few 30 second samples and it picked them all correctly. That's very useful.
BTW. I really liked the fact that I didn't need to download any junk onto my computer to access it. I'm using a totally bland firefox install (without so much as even a flash plugin) and the site worked just perfectly. 100 points!
Thanks for the positive fedback, uart.
By the way, you can upload even 5-10 seconds samples, they should be also recognizable.
I keep you posted as promised.
Audiotag.info robot is now capable of dealing with several new file formats, in particular, .AMR (phones), .FLV (Flash Video), .MP4 and several more.
Great service: free, powerful and easy to use.
I tested it with a sample ripped from a DVD, cut with Audacity and uploaded in Vorbis format, and it was successfully recognized.
However, your server seems to be overloaded due to its success, sometimes it takes 30sec to load the home page and it shows an error after the upload step.
dutch109, thanks for the positive feedback. I'm glad you found it useful.
No, the "unavailability" of the service was not related to the high server load, just temporary problems with the provider.
I've added upload progress bar. So, file uploading progress is now visualized.
somehow it won't work for me. couldn'r recognize a 15 second sample of "dirty diana" by michael jackson recorded through my headset microphone. after that i tried madonna - material girl, also no success. i wonder if i'm doing something wrong.
edit: worked after i produced a 15 seconds mp3 file by directly cutting it (via mp3directcut). the quality of the files recorded through headset was approximately the same as what i get when i record something with my cellphone, so i'm not very confident about the robustness of the algorithm.
edit2: typo
edit3: correction again.
null-null-pi, in general, there are no miracles. Transducing via air generally causes very serious damage to the audio that reduces its recognition chances significantly.
I can only say that with GSM recordings the algorithm managed mostly well.
However, it would be interesting to get/analyze your recordings used for tests (those you obtained by recording from your headset).
Can you please put them somewhere for me?
Addition: in general, criticism is very good but when you say that you're not sure in the robustness of this algorithm, can you please point me on any other service (free or commercial) available on the net which would recognize your test samples?
null-null-pi, in general, there are no miracles. Transducing via air generally causes very serious damage to the audio that reduces its recognition chances significantly.
I can only say that with GSM recordings the algorithm managed mostly well.
However, it would be interesting to get/analyze your recordings used for tests (those you obtained by recording from your headset).
Can you please put them somewhere for me?
Addition: in general, criticism is very good but when you say that you're not sure in the robustness of this algorithm, can you please point me on any other service (free or commercial) available on the net which would recognize your test samples?
unfortunately i overwrote the recorded files out of sheer lazyness (untitled.mp3 was defaulted, so i just clicked "save" every time. didn't think i would still need them). but i can re-record the samples if you like.
i have to confess i didn't test ANY web based recognizer until today, so indeed i can't compare directly. but i once tested "TrackID" on my sonyericsson cellphone in a totally overcrowded disco and it identified the music at first attempt. that's why i was expecting this to work out, maybe i was a little bit overoptimistic. and sorry for my unprecise language, i'm not a native speaker so maybe sometimes i will choose wrong words and it may sound more aggressive than originally intended.
edit: typo again (and again)
edit3: not unnamed.mp3 but untitled.mp3
null-null-pi, I'm not a native English speaker too, so that's fine And take it easy, you sounded very polite.
Please rerecord something and test on audiotag. If it won't be recognized - please send the recordings to me.
Thanks.
Cheers.
i'll upload recordings as soon as i've got the time. maybe tomorrow.
out of curiosity i recorded some samples at a local disco tonight (again using my cellphone) and they also don't seem to be recognizable. but i have no clue what's behind the scene, it encodes to "amr" which i transcoded to mp3 via "mobile media converter". more to come, it's time to bang into the pillow now.
What engine is used for this project to recognize and search the database ? How many songs are recognized yet ?
You could add a flash button, where someoe could record a sample with the build in mic available in the machine used.
Good examples for already finished tools are: on Android G1 phone: Shazam and the non plus ultra app for iPhone is called midomi
The story about audio recognizing applications goes back to 2002 found by Frauenhofer Institut: http://www.iis.fraunhofer.de/EN/bf/amm/index.jsp (http://www.iis.fraunhofer.de/EN/bf/amm/index.jsp)
CeKay,
the engine is proprietary.
Songs database size and number of recognized queries are available at the very bottom line of the main screen (stats).
... and I'm well aware about the story of audio recognition and the existing technologies All I can say is that all existing today free services (Music Brainz, Tunatic) are
1) not available online
2) provide worse recognition robustness
Last DB update: added 39151 tracks, 3141 albums
Last DB update: May 29th, 2009, added 15260 tracks, 1165 albums
Total DB size: 1122365 tracks, 80498 albums;
New feature:
Now you can recognize audio directly from YouTube videos by specifying their URLs.
Website hangs, when trying to identify youtube song: http://www.youtube.com/watch?v=0kEuLpjoeOU...ec-HM-fresh+div (http://www.youtube.com/watch?v=0kEuLpjoeOU&feature=rec-HM-fresh+div)
I couldn't get to step 2, it was hanging once i hit proceed on step 1.
My hardware and software: Mac os x 10.5.8 intel core 2 duo. Running Safari 4.0.2
Software all up to date.
Opps while typing this it did finally show me step 2. I didn't see a progress bar so i assumed this was hanging the site.
And it did identify the track!! Thanks so much!
Soulster,
probably you have some problem with Flash uploader...
Anyway, I'm glad you found the service helpful.
A quick update: the songs database is now larger than 1.25m tracks.
WOW this is amazing! maybe you should write an article about its features for Engadget, Cnet etc!
HydrogenAudio is really a VERY unknown forum for almost 100% of the people who will find this useful. There are mostly (audio)geeks around here.
Your AudioTag.info NEEDS more publicity... but I doubt you will get it via this topic!
Thanks for your positive feedback.
Well, though I think that AudioTag needs more publicity too, I don't want to create "artificial noise" around it.
And of course I can't post anything on Engadget etc. myself, while pointing them on AudioTag would be treated as advertisement or at least impolite...
So it seems they should somehow find this service themselves...
But thanks again for your kind words.
A quick announcement:
OSMM (OrlSoft Music Manager (http://www.orlsoft.com/osmm.asp)) now comes with official native AudioTag.info support. It means that from now on you can recognize music directly in OSMM. And no captcha, of course!
Direct download link (http://www.orlsoft.com/getLE)
aradzish dear,
I started using OSMM. The first impression was very good, thanks
for suggestion. But I missed being able to contribute to the database
Could there be a AudioTag.Info of service so we can at least suggest
some songs for inclusion. It is now my suggestion, moreover congratulations!
Dear josekleber,
thanks for your positive feedback.
Please take into account that OSMM is a 3rd party tool that is not directly related to AudioTag.
As to community/users contribution - we're thinking about this feature but it is not really planned right now.
I hope we will make it available in the future.
Regards.