Emotion recognition in speech, driven by advances in neural network methodologies, has emerged as a pivotal domain in human–machine interaction. The deployment of sophisticated architectures such as ...

By Dr. Priyom Bose, Ph.D. By reading subtle throat vibrations and pulse signals, a lightweight AI -powered choker helps ...

Willkommen. Bienvenue. Welcome. C’mon in. Meta has unveiled Omnilingual Automatic Speech Recognition (ASR), an AI system that can transcribe speech in over 1,600 languages — including 500 low-resource ...

Listening to people with Parkinson's disease made an automatic speech recognizer 30-percent more accurate, according to a new study. As Mark Hasegawa-Johnson combed through data from his latest ...

Are humans or machines better at recognizing speech? A new study shows that in noisy conditions, current automatic speech recognition (ASR) systems achieve remarkable accuracy and sometimes even ...

Postdoctorate Viet Anh Trinh led a project within Strand 1 to develop a novel neural network architecture that can both recognize and generate speech. He has since moved on from iSAT to a role at ...

A new study challenges the longstanding belief that fear is primarily communicated through facial expressions, showing instead that context plays the dominant role in real-life fear recognition. By ...

Facial emotion representations expand from sensory cortex to prefrontal regions across development, suggesting that the prefrontal cortex matures with development to enable a full understanding of ...

More than a million people around the world rely on cochlear implants (CIs) to hear. CI effectiveness is generally evaluated through speech recognition tests, and despite how widespread they are, CI ...