Hello, really glad to see project like this popping up. I have few questions as I was working on something similar few years ago:
1. I did some development myself for a "Track Discovery for Djs"[1] project in this space of "dj music recognition" and I am wondering how are you able to handle mixtapes and dj mixes when there is a significant element of sound manipulation/distortion applied, like pitch/tempo + various effects? In my tests this totally confused the algorithms which were not designed to handle such cases.
2. Can you share which algorithm have you implemented for this project? I did read most of the research papers in this space and my preferred solution was to build upon https://github.com/JorenSix/Panako which I did.
In the space of "minimal microhouse techno" type of genre where there are often similar rhythm patterns or even tracks build up using same sample packs it proved to be more difficult to have reliable results than not.
I was investigating how Spotify and other market leaders can do track recognition and they do train ML models on the same track which has applied 100+ various different effects...
While you browse various job boards if there is no direct contact to a person or the email / phone is obfuscate, just find contact details online.
I often pay for various services that can give you contact details based on linkedin profile - give them a call and most often then not you will have interview shortly after.
Do the work to reach out to those people, establish rapport and you will be in a good place. If you are great professional they will make sure to keep you on their roster as an ACE candidate.
Excellent write up! Thank you for sharing. From myself I may add that a lot of information out there on the internet will get you into trouble and is purely wrong. NomadList is good.
Same here, just having ANC enabled without any audio for 1-2 hours and tinnitus is clearly noticeable. For that reason I’ve discarded all AirPods Pro in my family
I’ve moved my mobile number to voip using https://www.aa.net.uk/voice-and-mobile/number-porting/mobile... and receive all text messages via mail. Use it for call forwarding when I’m abroad to avoid roaming charges, also sim swap attack seems less possible?
Telegram is miles ahead in terms of scalability and features that makes it fun to use and work with their API. Kudos to the engineering team for creating such a great product. Imagine you can have groups up to 200 000 people, post files up to 2GB, have options to share your screen with unlimited amount of users - both desktop and mobile. Its really good. Yes if you need secrecy you may look elsewhere.