📋 This means I should have prepared a transcript of the audio I've included above. Have you ever typed up your own transcript? It takes a good amount of effort and time, and a helpful transcription app, that my clients would probably not pay for. - Source: dev.to / about 3 years ago

To start, I have a $20/ yr "manual" transcription license for Transcribe by Wreally. Once I saw that other folks were interested in transcripts too, I set up an automatic transcription for the first episode - it tends to work alright, but also needs some manual revising and editing after it finishes processing. Source: about 3 years ago

This is the main reason we still have a local-only mode in our transcription web app [1]. We play the audio/video file directly from the user’s computer, and we use local storage to store typed text in users’ computers. This way no transcription data leaves users’ computers. We’ve been working on it for over a decade and we did add machine transcription recently, but I still find a surprising number of users use... - Source: Hacker News / about 3 years ago

I see this in https://everynoise.com/#updates > 2024-01-05 status update: With my layoff from Spotify on 2023-12-04, I lost the internal data-access required for ongoing updates to many parts of this site. Most of this, as a result, is now a static snapshot of what, for now, will be the final state from the site's 10-year history and evolution, hosted on my own server. Some pieces may get disabled and reenabled... - Source: Hacker News / 2 months ago

Anyone aware of a similar feature for foobar2000? I have an extensive library mostly tagged from Discogs, including release IDs. In theory, this should be sufficient to cluster music by genres, pull similar releases from Discogs "similar" feature and correlate data from https://everynoise.com. Obviously, in case of album mixed genres things will mix up, but I'm not sure there's a model that can correlate existing... - Source: Hacker News / 3 months ago

The article mentions Glenn McDonald's musical genre page (https://everynoise.com/, no longer refreshing with new Spotify data) as an example of a flexible graph-like exploration format, without being burdened by explicit connections. The author also has a thorough description of pros and cons of the general concept. - Source: Hacker News / 6 months ago

This is from Glenn McDonald's blog, founder of "Every Noise at Once". He was laid off from Spotify (discussed here briefly [0]) --- https://everynoise.com/ is now in "archival copy" mode [1][2]. Super sad to read / see this. [0] https://news.ycombinator.com/item?id=38650917 [2] https://twitter.com/EveryNoise/status/1736086849339244935. - Source: Hacker News / 6 months ago

Data exported using: https://benjaminbenben.com/lastfm-to-csv/ Album art compiled using: https://www.neverendingchartrendering.org/ Genre data compiled using: http://organizeyourmusic.playlistmachinery.com/# https://everynoise.com/ https://www.tunemymusic.com/transfer Gender, year and country of origin information manually compiled using Last.fm and wikipedia. Data analysis done in excel and image created in GIMP. Source: 7 months ago