Music recognition API. Recognize music in microphone recordings, audio files, and UGC. Identify songs playing on radio stations and from other audio streams. Monitor airplay and create radio charts or make your own music recognition app. Recognize music from social networks and analyze trends.
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Based on our record, AudD seems to be a lot more popular than Hulu. While we know about 11 links to AudD, we've tracked only 1 mention of Hulu. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I recently had a lot of trouble accessing hulu on my laptop - I would be signed in and I could access my account settings, but hulu would automatically redirect to hulu.com/welcome. For some reason, I couldn't find any fixes online, or they would be on the hulu technical support page, which wanted me to create a whole profile just to access the site. Source: almost 3 years ago
You need to use a song recognition API if you want it to be source agnostic. Here's the first result on Google, gives all the info you want I think .https://audd.io/ So it's just matter of adding a microphone to the controller , plus and required drivers and writing some code to run the API query against the current input from the mic, and outputting that to whatever you want. Source: 12 months ago
In this article, an application will be built using JavaScript and Node.js where a simple chatbot will be implemented using the Zenvia platform to integrate with WhatsApp channel and the AudD platform to integrate with music recognition in order to test some features of the WhatsApp channel such as sending and receiving text, image and audio messages. - Source: dev.to / almost 2 years ago
AudD got me the linked YouTube song. I got her Wikipedia and found the other song by Kirche. Listened to both and concluded that they're not the same. Nacht means Night in German and the only thing on her Wikipedia about "night" is ヨルオトヒョウホン(夜音標本). So I googled it and it was the right album. Source: almost 2 years ago
Recognized with Audd AI https://audd.io/. Source: almost 2 years ago
I found this API searching around Https://audd.io/ I would give it a try for recognition, with, maybe, lastFM for track details... Source: almost 2 years ago
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