It is all about fast and accurate results! I am using Audext for more than 6 month already and it heps me to transcribe lots of files.
I loved Audext for some simple reasons - it is fast, cost-effective, easy to use, and accurate in results. That made me a big fan of this service cause I use it every time.
I have tried Audext a few weeks ago and it really worth its money. I usually have some audio materials that I should turn into text to write an article, so Audext helps me to do this.
Based on our record, Every Noice at Once should be more popular than Audext. It has been mentiond 422 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.
Audext is an online platform developed to transcribe video and audio content to written format. The software offers:. Source: almost 2 years ago
I have the best option for you to simplify your student life. All you have to do is record a lecture on your phone and Transcriber can easily convert it into text. It works with practically all audio formats. Whether you recorded your lecture in MP3, MP4, WAV, M4A, or another format, it won't take long for you to get a high-quality transcription. Audext can instantly transcribe also your video to text even when... Source: almost 2 years ago
With Audext, you can convert audio files into text with just one click, allowing people like me (who are constantly on-the run) still get things done while managing their time more efficiently than ever before. All it takes is some internet connection and a browser-based program to get the job done. Source: almost 2 years ago
Thankfully, there are ways to record and write up meetings. You can use it to handle a variety of issues and finish time-consuming jobs. Actually, there are a number of reasons why companies want to use Audext for their corporate transcription, ranging from more serious issues like legal objectives to more routine activities like staff training. Source: almost 2 years ago
Thankfully, there are reasonable choices for meeting recording and transcription. And the only tool you require is your standard cell phone. Audextโs corporate transcription for your business has many advantages in store. Source: almost 2 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 / 7 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
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