Listening to natural sounds is known to be good for human beings, but a new world reveals itself when you visualize sound via colorful images known as spectrograms.

Students from the University of Michigan have found a way to use diffusion models to not only create a spectrogram image for a given prompt, but to do it with audio that actually makes sense given ...

The Riffusion program has been trained to generate spectrograms of any music you'd like, which can then be converted into audio clips.

Instead, the music is through AI image generators, which produce spectrograms of music. You can then convert those spectrograms into audio clips.

Each audio sample of an excretion event was transformed into a spectrogram, which essentially captures the sound in an image. Different events produce different features in the audio and the ...

For Sound ID, an algorithm called a Short-time Fourier transform (STFT) converts the audio signal into an image called a spectrogram.