Based on our record, Every Noice at Once seems to be a lot more popular than NaturalReader. While we know about 422 links to Every Noice at Once, we've tracked only 6 mentions of NaturalReader. 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 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
Wait til you get to CS-330 I'm taking it rn, definitely the hardest class I've ever taken. Also, with that many readings, consider using naturalreaders.com That's what I use for the majority of the readings, I set the WPM at like 230 or so and just follow along, because I read incredibly slow, but can understand it and get through it way faster if I listen to it. This resource has saved me a ton of time so far! Source: about 2 years ago
Invest in software like naturalreaders.com that will read your assignments out loud. I'm sure there are better versions than this, but it's the one I use. It lets you set the speed and follow along, which is helps SO MUCH when you're dealing with dry boring material. You can even put your class notes in there and it will read them out loud to help you with memorization. Source: over 2 years ago
I wrote my entire explanation of WHY I am having them do the assignment. Please note that I also included a link to naturalreaders.com and told them that because this was so important that if they had trouble reading long text (and these instructions are not that long) to use the text-to-speech function. Source: over 2 years ago
Upload text and documents or convert to mp3 to listen to anywhere anytime. Bored of reading everything? Upload the text on this site and it will convert it in mp3 file. Really good one in my persoanl opinion Https://naturalreaders.com. Source: over 2 years ago
TL = target language, in your case, Spanish. I've been doing a lot of L-R--but as Ryan says, just with Spanish text/audio. I can recommend these sites: openlibrary.org (free to sign up for/use), librosdemario, holaebook, and lelibros.online. I then use the Google Read&Write extension to read the text to me if it's online or naturalreaders.com if it's a download. Good luck! Source: about 3 years ago
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