Table of contents
Spectrogram-Based Editing
Photosounder allows users to manipulate sounds through spectrogram images, offering an intuitive approach to sound editing and synthesis.
Image-to-Sound Conversion
The software can convert images into sounds, allowing creative possibilities like turning photos into unique audio compositions.
Real-Time Feedback
Edits made to the spectrogram provide real-time audible results, helping users quickly understand the impact of their modifications.
Cross-Platform Compatibility
Photosounder is available on multiple platforms including Windows, macOS, and Linux, making it accessible to a wide range of users.
We have collected here some useful links to help you find out if Photosounder is good.
Check the traffic stats of Photosounder on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Photosounder on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Photosounder's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Photosounder on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Photosounder on Reddit. This can help you find out how popualr the product is and what people think about it.
Photosounder exists. https://photosounder.com/ The problem is, if you listen to the examples, they sound extremely robotic. Source: over 3 years ago
Now that I had the opportunity to listen more closely - the second one reminds me of spectral editor tools such as https://photosounder.com/ . Specifically https://www.youtube.com/watch?v=W8MCAXhEsy4 - it's all about picking the right image. I think you can also do this with Harmor - load an image and resynthesize it. Since that gives you a lot of sinewaves, I'd say your theory is correct :). Source: over 3 years ago
Also worth noting that https://photosounder.com/ as a spectrogram editor has been around awhile. Source: over 3 years ago
If you read an image file, then each pixel can be represented as a sample value, and then you're reading it line by line. However, another approach is additive synthesis - where each line of an image is turned into a harmonic, and the brightness of each pixel is its amplitude. Source: over 3 years ago
Start with subtractive, then work your way up to basic FM. For additive synthesis, people use image editors. Source: almost 4 years ago
I'd try something like Photosounder, that lets you edit in Frequency-space: Https://photosounder.com/ The old, open source but non-graphical version: http://arss.sourceforge.net/. Source: almost 5 years ago
Image editing works surprisingly well for this - https://photosounder.com/ . Source: about 5 years ago
You can do it in Harmor, but I'd recommend checking out photosounder.com - it lets you really play in the frequency domain. Source: about 5 years ago
Another interpretation of this effect is lowering the resolution. Convert audio to an image ( consider https://photosounder.com/ ), then use a pixelate/mosaic effect, and stretch the image horizontally. This is equivalent to timestretching some parts. Source: over 5 years ago
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