Don’t click on this link if you have urgent work tasks to complete. Well, we warned you. It’s the latest machine-learning experiment involving music within the Google empire, and it’s called Blob […]
Tag: machine learning
Beatchain launches Fan Builder automated ad-buying feature
We last wrote about digital marketing firm Beatchain in June, when it launched a smart-links feature called ‘hypelinks’ aimed at independent artists and labels. Now it’s got another new tool for its […]
There really is a robot releasing music on Spotify
Wait! Drop the pitchforks! Shimon isn’t one of these fake artists you’ve been hearing about (we’re still trying to get to the bottom of who Jan Thiel is, by the way). […]
DeepJams is latest project exploring original AI-generated music
2020 looks set to be the year when a new AI-music startup (or at least a research project) pops up every week. This week’s entry is DeepJams, which falls somewhere between […]
Stems the breaks: Deezer creates stem-isolating tool Spleeter
Artists have been making ‘stems’ from their tracks available since the early 2000s for fans to remix, often as part of contests. The recent deal between Tracklib and the estate of […]
Audio-tech startup Accusonus raises $3.3m funding round
Greek startup Accusonus has raised a Series A funding round of $3.3m, which the five year-old company will use to continue developing its “human-friendly audio software”. That means tools that use machine-learning […]
Vochlea launches Kickstarter for its Dubler Studio Kit
We’ve been writing about British startup Vochlea since it joined the Abbey Road Red accelerator in 2017, as a company combining machine-learning and audio-analysis technology for a microphone that you could beatbox […]
Former Spotify execs launch privacy-focused recommendations tech
If you hear the phrase ‘on-device machine-learning’, it refers to technology that operates entirely on a device – for example a smartphone – rather than passing data back to a […]
Apple Music rolls out personalised ‘My Chill Mix’ playlist
Apple is making its latest move in personalised playlists, with the rollout of a new one called ‘My Chill Mix’.
“A small number of test users got the new playlist yesterday evening,” reported TechCrunch. “An updated Chill playlist will be delivered every Sunday to users who join the test group, which will roll out through the summer.”
The playlist will focus on the relaxed end of the musical spectrum, but based on the genres and artists that an individual user has been listening to.
Google releases audio dataset for machine learning research
We won’t pretend to be experts in the deeper aspects of machine-learning, but when we see two of the key figures in The Echo Nest tweeting their approval of something, we know it’s worth a look.
What they were tweeting about was AudioSet, “a massive dataset of manually annotated audio events” made available by the Sound Understanding group in Google’s Machine Perception Research organisation.
“Huge dataset release by Google of audio annotations for YouTube videos,” tweeted Echo Nest co-founder Brian Whitman.
Google Play Music redesign puts machine learning to the fore
The Google Play Music streaming service is getting a redesign, putting more of an emphasis on personalised playlists and music recommendations based on where the listener is and what they’re doing.
The redesign is rolling out this week for Google Play Music’s Android and iOS apps, in the 62 countries where the service is available.
You can think of this as its Google Now moment: recommending music in the same way that the Google Now tool on smartphones serves up weather reports, travel information and other data when they might be most useful.