This project will soon stop being maintained. We recommend using pymss-desktop, which supports more comprehensive models, provides 50-100x faster inference than MSST-WebUI, and has a better-looking ...
In a dual-center cross-sectional study (N = 202), Center 1 (Capital Center for Children’s Health, Capital Medical University, n = 161) served as the development cohort and Center 2 (College of ...
When investigating lightning, focusing not only on the light (the flash) but also on the sound (the thunder) is an effective approach. Thunder is a pressure wave in the atmosphere and carries ...
What if you could transform a Raspberry Pi into a multilingual voice assistant capable of delivering weather updates, recommending restaurants, and seamlessly switching languages? In this overview, ...
Music has become an established complementary element of modern medicine, demonstrating beneficial effects towards various diseases such as dementia, hypertension, or chronic pain. Given its low cost ...
This project is a binary classification problem of audio data that aims to classify human voices from audio recordings. This project uses a feed forward neural network and a convolutional neural ...
Abstract: Audio dubbing, or inducing fake audio clips to a genuine video or audio file, has shown growing adverse effects in the speech domain sectors, causing concerns to individuals, organizations, ...
Abstract: LIBROSA is a powerful Python audio data processing library introduced in recent years. Based on LIBROSA provided source codes, two types of feature data extraction algorithms are analyzed in ...
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