The shooting death of Renee Macklin Good in Minneapolis, Minnesota, has quickly become a rallying point in the broader ...
Recently, mainstream mel-spectrogram-based neural vocoders rely on generative adversarial network (GAN) for high-fidelity speech generation, e.g., HiFi-GAN and BigVGAN. However, the use of GAN ...
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 ...
The spectrogram visualization fails to render initially when loading the annotation interface. The spectrogram only appears after user interaction (scrolling or zooming). This is a race condition ...
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 ...
This finding was remarkable to fans as they were starting to resolve the complicatedness of Makima’s character in the series. It produces a shocking alarm of her omnipresence and overshadows her role ...
Soundscape analysis has become integral to environmental monitoring, particularly in marine and terrestrial settings. Fish choruses within marine ecosystems provide essential descriptors for ...
In the realm of Large language models (LLMs), there has been a significant transformation in text generation, prompting researchers to explore their potential in audio synthesis. The challenge lies in ...
Benjamin A. Jancovich's work is funded by the Australian government's Research Training Program. In a new study published in Ecology and Evolution, we show the limitations of one of the most common ...
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