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
>
Received on Thu Apr 19 2012 - 14:34:34 BST