A low-dimensional voice latent space derived from deep learning captures speaker-identity representations in the temporal voice areas and supports reconstruction of voices preserving identity ...
The fastest way to convert audio to text in 2026 is by utilizing advanced AI-powered meeting notetakers like Vomo.ai. These ...
OpenAI will reportedly base the model on a new architecture. The company’s current flagship real-time audio model, ...
Now, the researchers at Yellowstone National Park want to learn wolf language beyond what has been fed to us through ...
Merlin has been trained to identify the songs of more than 1,300 bird species around the world ...
Abstract: Transformers have rapidly become the preferred choice for audio classification, surpassing methods based on CNNs. However, Audio Spectrogram Transformers (ASTs) exhibit quadratic scaling due ...
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 ...
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, ...
Introduction: Inflammatory bowel disorders may result in abnormal Bowel Sound (BS) characteristics during auscultation. We employ pattern spotting to detect rare bowel BS events in continuous ...
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