system music recognition

My way if talking to client and my expert level is making me different from other guys . It is my record on the other freelance platforms that the client once take my services never go to another person

We have the required experience to complete this project with more than 20+ years experience with C/C++ and Python. I have worked before on Audio cross-corelation projects before which work on the similar mathemetical principle of using Fast fourier transforms to convert the audio into a mathematical model which can be stored into database and compared in realtime against other audio streams. The software I propose to use is based on Python and C++ and supports all your requirements using even more advanced math. We can put in a robust realtime backend that stiches together the software along with internet stations of your choice. The entire system will be multithreaded to handle your anticipated load. Please note that audio-matching uses very complex math so it requires a fast enough server with enough CPU to handle the load which multiplies with every song added to the database. First, I propose to have a system working with manually entered sources & then in next step put in a webui to handle multiple channels at the same time along with testing the backend.

Hi! I have done something similar in the past using fingerprinting to prevent duplication inside Amazon S3 buckets. Going on this experience I believe it can be extended to suit your use case. A few questions, however: 1) Once we have retrieved the sonic fingerprint of the file, do you plan to use a service to look up the artist and title or are you going to trust the details from the stream? 2) The more we can record from a stream the better the fingerprinting will be and the higher the accuracy. This will rely on either a timer interval or waiting for the metadata to change. Due to piracy metadata sometimes changes late which may not get us the best fingerprint. Please do not hesitate to contact here on Freelancer should I be of further assistance to you. Warmest Regards, Stephen Lombard