AI analysis of snoring sounds may help identify the source of upper airway obstruction and support non-invasive sleep ...

Earthquake sensors on the ocean floor were built to track tectonic plates, but scientists just discovered they have been ...

A new study developed a snore-source classification model that uses STFT spectrograms, pretrained CNN features, and an L2-regularized SVM to identify where snoring originates in the upper airway.

People used AI on a spectrogram image of cockpit recordings to reconstruct them, forcing the NTSB to temporarily block access to its docket system.

Pilots’ voices from the last seconds of a fatal cargo plane crash have been re-created by Internet sleuths using software and AI tools. The spread of reconstructed audio recordings has prompted a US ...

ABSTRACT: Advances in AI-based voice production and conversion technologies have made it possible to create deepfake voices that closely resemble real human speech, raising new security challenges in ...

ABSTRACT: The study adapts several machine-learning and deep-learning architectures to recognize 63 traditional instruments in weakly labelled, polyphonic audio synthesized from the proprietary Sound ...

Digging deeper into AI "voices" I previously tested all 30 voices provided by Gemini's TTS and categorized each voice based on impression axes such as "high/low pitch" and "feminine/masculine".

That's an excellent work. However I have some difficullties. As I am going the finetune only some parts of the model, I need to calculate some intermediate data. Specifically, given an audio sequence, ...