Bryan Pardo at Northwestern and Parag Chordia at gatech do some nice
work, for example.
http://musictechnology.northwestern.edu/faculty.php
http://www.gtcmt.gatech.edu/
On Thu, Apr 19, 2012 at 10:33 AM, alex <alex_at_idoia.com> wrote:
> Very good.
> Thanks a lot.
> Alex
> Le 19 avr. 2012 à 16:31, Richard Lewis a écrit :
>
>> At Thu, 19 Apr 2012 15:46:34 +0200,
>> alex wrote:
>>
>>> I was looking for an audio search engine when I realized that I did
>>> not know any that was as much known as google for text and document
>>> or vimeo for video or again flicker for still images. I read a short
>>> page on wikipedia that talks about 2 algorithm approaches, one
>>> searching in the metadata for keywords (not that interesting to me)
>>> and some others (without links) trying to differentiate speech form
>>> music in the body-content of an audio file for example. I thought
>>> the good place to ask such a question was here. Maybe you are all
>>> aware of projects like this, Apologise for not having read the
>>> archives.
>>
>> The Online Music Recognition and Search project conducted at
>> Goldsmiths' College and Queen Mary, University of London delivered a
>> tool called AudioDB. It's a essentially a feature vector database
>> which uses locality sensitive hashing to find approxiamte nearest
>> neighbours to a given query vector.
>>
>> http://www.omras2.org/audioDB
>>
>> The code is very much research-grade; it works, but you have to
>> compile it yourself and there's little documentation. It's written in
>> C++ within bindings for a few other languages.
>>
>> Another important caveat is that it's not (like Google, Flickr, etc.)
>> a search engine over an existing database. If you want to use it, you
>> have to create your own database. And to do this, you need a feature
>> extractor to get features from your audio collection. You also need an
>> audio collection. The same research project also produced a simple
>> extractor called fftExtract:
>>
>> http://omras2.doc.gold.ac.uk/software/fftextract/
>>
>> As an alternative, you may be interested in looking at the echonest
>> API, see especially their track API:
>>
>> http://developer.echonest.com/docs/v4/track.html
>>
>> It also occured to me to check if Shazam publish an API. I couldn't
>> find one.
>>
>> Best,
>> Richard
>>
>
--
Al Matthews
Received on Thu Apr 19 2012 - 15:07:17 BST