Software Alternatives, Accelerators & Startups

Every Noice at Once VS Google Cloud Text-to-Speech

Compare Every Noice at Once VS Google Cloud Text-to-Speech and see what are their differences

Every Noice at Once logo Every Noice at Once

Every Noise At Once is a web app that lists every single music genre in an explorable, listenable...

Google Cloud Text-to-Speech logo Google Cloud Text-to-Speech

Text to speech conversion powered by machine learning
  • Every Noice at Once Landing page
    Landing page //
    2023-05-06
  • Google Cloud Text-to-Speech Landing page
    Landing page //
    2022-11-02

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Google Cloud Text-to-Speech videos

How to convert text to speech using Google Cloud Text-to-Speech API and Ruby on Rails

Category Popularity

0-100% (relative to Every Noice at Once and Google Cloud Text-to-Speech)
Audio Player
100 100%
0% 0
AI
0 0%
100% 100
Music
100 100%
0% 0
Text To Speech
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Every Noice at Once should be more popular than Google Cloud Text-to-Speech. 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.

Every Noice at Once mentions (422)

  • When do we stop finding new music?
    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
  • Spotify launches personalized AI playlists that you can build using prompts
    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
  • Displaying Content as a Graph
    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
  • The Beginning of the Past
    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
  • [OC] Exploring my world of music in 7 years of listening data
    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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Google Cloud Text-to-Speech mentions (59)

  • Hindi Conversational Text-to-Speech
    My friend was a contractor for Hindi TTS at Google https://cloud.google.com/text-to-speech. - Source: Hacker News / 3 months ago
  • Mini Kore Anki Deck with Audio
    I created an Anki Deck with all of the words from Mini Kore and 300+ Mini Kore sentences from the various documents on minilanguage.com. The deck includes audio for all words and sentences. Audio was generated using the Google Text-to-Speech API. The deck can be found here:. Source: about 1 year ago
  • 📽️ Introducing Swiftube - Make simple talking-head videos in React ⚛️
    Under the hood, it is powered by: - Remotion - Google TTS - OpenAI. Source: about 1 year ago
  • Text to speech still sucks
    Text-to-Speech: Lifelike Speech Synthesis  |  Google Cloud. Source: about 1 year ago
  • Get Started Making Music
    Thanks! The synth is Dreamtonics' Synthesizer V, using the SOLARIA voice database from Eclipsed Sounds. What really sold it to me was listening to some beautifully crafted covers from this YouTube channel: https://www.youtube.com/watch?v=KX0lcVr9ugI), which was quite interesting and somewhat pleasant sounding for spoken word vocals, but didn't really have the range or expressiveness I was looking for. - Source: Hacker News / about 1 year ago
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What are some alternatives?

When comparing Every Noice at Once and Google Cloud Text-to-Speech, you can also consider the following products

Last.fm - The world's largest online music service. Listen online, find out more about your favourite artists, and get music recommendations, only at Last.fm

Amazon Polly - Named for a parrot, Amazon Polly is a text-to-speech (TTS) software that makes your text come to life in a natural, authentic way. The software has many lifelike voices, both male and female, and in a variety of languages.

Rate Your Music - Rate, list, and catalog music, videos, concerts, etc.

Play.ht - AI Voice and Speech Generation tool

RadioGarden - An interactive map of live radio stations across the globe.

NaturalReader - Main Feature: Full Common Functions: Read Text Files o Text files o MS Word files