Project Burndown
Perfect Wiki
Dropbox Paper Mobile
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Amium
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LearningSpaces for Teams
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AudD
Shazam
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AHA Music
Gracenote Music Recognition
AudioTag
TuneFind
Create pages with user guides, onboarding, SOPs, and more—all within Microsoft Teams.
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.
Perfect WikiEverything the MS Teams app is missing, Perfect Wiki gave me! No more losing precious content, I can protect all my pages from edits with the simple rights management. Setting up the wiki was super easy too - just seconds and we were making pages in MS Teams channels. I recommend Perfect Wiki to all my tech-savvy friends - we all agree that as of today its' the best way to share knowledge in Microsoft Teams. Very cheap too.
Based on our record, AudD seems to be more popular. It has been mentiond 11 times since March 2021. 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.
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: 10 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 / over 1 year 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
Dropbox Paper Mobile - Organize your team’s knowledge in a single place
Shazam - Shazam is a mobile app that recognizes music and TV around you.
Confluence - Confluence is content collaboration software that changes how modern teams work
ACRCloud - Automatic Content Recognition (ACR) cloud services for Audio Recognition ( identify music, ads ), Broadcast Monitoring, Second Screen, Copyright Protection.
Amium - A collaboration app that brings conversation to your files
Pex Search - Pex is a leading automatic content identification platform featuring automatic audio and video recognition, and cover song identification. Audio identification ensures remixes, mashups, nightcore edits, short segments etc. are all identified.