Completed

New algo to identify music using audio-fingerprinting

Seeking help in making algorithmic changes to an existing open-source python 2.7. component dejavu -- which is generating an audio-fingerprint for MP3 files/data-snippets. The audio-fingerprint algorithm is e.g. used by shazam to identify unknown audio/music recordings.

In our scenario we have access to 10 seconds MP3 content of a music file (always the beginning) and we want to create a DB of audio-fingerprints from these 10 seconds in order to identify music for which we don't have ID3 data and only an un-descriptive filename.

The (dejavu) audio-fingerprinting algorithm is able to detect music even with a relative high signal to noise ratio, but this is not the scenario that we are dealing with -- and therefore we don't need the large redundancy from the generated data coming from that approach.

We are seeking a freelancer who is creative enough to imagine a very similar algorithm that is better adapted to our scenario and that is also applicable to video identification (i.e. from extracted audio)

The actual extraction of MP3 from audio/video files is already done. We only need an algorithm that is extracting identifiable signals from 3,4 or 5 secs of MP3 audio in order to have a very high confidence level that we have identified the right music in a large DB of audio-fingerprints.

The product deliverable should be provided in Python 3.x.

The dejavu code is in [login to view URL] -- additional docu on audio-fingerprinting can be found in: [login to view URL]

Skills: Algorithm, Audio Processing, Database Development, Python, Software Architecture

See more: generate music using matlab, creating music using matlab, music using matlab, music recognition algorithm, shazam technology, how shazam works medium, how does shazam work, shazam blocker, golang audio fingerprinting, how does shazam work reddit, shazam database, using audio price alerts metatrader4, split music background audio, making drops using audio software, token number display music using 8051, stream live music using nicecast, custom music game audio prices, identify music artist genre, database identify music genre artist, storyboarding web music using asp

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( 72 reviews ) Las Vegas, United States

Project ID: #18554723

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Yangzayang

Hi, How are you.. I'm very interested in your job. I am an expert of machine learning, signal processing who has 10+years experience such as speech recognition, synthesis and classification based on Machine Learning More

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5 freelancers are bidding on average $249 for this job

KGeorgy

Hello, I am pleasure with your job for New algo to identify music using audio-fingerprinting. Thank you for the job posting. It’s a pleasure to meet you. I’d really like to work with you on this one if possible! I More

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anamaria1979

he (dejavu) audio-fingerprinting algorithm is able to detect music even with a relative high signal to noise ratio, but this is not the scenario that we are dealing with -- and therefore we don't need the large redunda More

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techlinesols6

"Hi, Hope you are doing well! Thanks for sharing your project requirement with us. It will be our great pleasure to work on your project. I have checked your requirement, yes we can do it, because we already work on si More

$208 USD in 7 days
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oscarBeta

Hi, your project does arouse my research interest, whereas i came across the webpage explaining the dejavu algorithm for extracting hashed fingerprint from 10s mp3 music segment. I have worked on implementation of r More

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