A study utilized OpenAI’s Whisper deep learning model to assess speech intelligibility in cochlear implant (CI) simulations.

In recent years, artificial intelligence (AI) and the Internet of Things have progressed rapidly, driving advancements in ...

Hasegawa-Johnson leads the Speech Accessibility Project, an initiative at the University of Illinois Urbana-Champaign to make voice recognition devices more useful for people with speech disabilities.

Speech Note works entirely offline, with all text and voice processing happens locally on your device. This ensures your privacy by never sending data to the internet. It supports a wide range of ...

Fibocom has unveiled a pioneering AI-powered FWA solution based on Snapdragon X75 5G Modem-RF System during Network X 2024.

Sintered neodymium magnets (NdFeB) and hard ferrite are among the most commonly used magnets in the manufacturing of ...

In this project we build a model to recognize emotion from speech using the librosa and Multi Layer Perception Classifier (MLPClassifier) and RAVDESS Dataset. This will be able to recognize emotion ...

A PyTorch implementation of Speech Transformer [1], an end-to-end automatic speech recognition with Transformer network, which directly converts acoustic features to character sequence using a single ...