Abstract: In this work, we propose CleanMel, a single-channel Mel-spectrogram denoising and dereverberation network for improving both speech quality and automatic speech recognition (ASR) performance ...
Abstract: The wideband signal detection framework which applies deep learning-based object detection networks to wideband spectrograms for joint signal detection, classification, and time-frequency ...
James is a published author with multiple pop-history and science books to his name. He specializes in history, space, strange science, and anything out of the ordinary.View full profile James is a ...
Creating an issue in case my comment at the closed PR #9527 falls through the cracks. I just updated SE to 4.0.12, and I'm afraid the new merged waveform + spectrogram is not workable for me. As you ...
Example spectrograms showing the electric moped sounds and the imitations produced by Chinese Blackbirds. (A)–(B) Three examples of locking sound, unlocking sound, and alarms from three brands of ...
Signal analysis and classification is fraught with high levels of noise and perturbation. Computer-vision-based deep learning models applied to spectrograms have proven useful in the field of signal ...
On a drizzly day in Grünau im Almtal, Austria, a gaggle of greylag geese shared a peaceful moment on a grassy field near a stream. One goose, named Edes, was preening quietly; others were resting with ...
Traditional methods of diagnosing mental-health conditions require patients to speak directly to a psychiatrist. Sensible in theory, such assessments can, in practice, take months to schedule and ...
The dense peaks in the wavelength distribution graph observed in a Lyman-Alpha forest indeed resemble many small trees. Each of those peaks represents a sudden drop in “light” at a specific and narrow ...
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