Dysarthria, a motor speech disorder that impacts articulation and speech clarity, presents significant challenges for Automatic Speech Recognition (ASR) systems. This study proposes a groundbreaking ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
To facilitate effective cross-language communication, speech translation has emerged as a pivotal technological tool receiving significant attention. It enables the conversion of speech content from ...
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 ...
While the proof-of-concept technology could revolutionize early dementia detection, experts urge caution regarding implementation timelines.
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
A new study suggests that learning and remembering speech relies more on how the brain processes sounds and sensations than on the areas that control mouth and face movements. The discovery could ...
We don't usually realize it, but every word we speak depends on a series of complex brain processes working behind the scenes. One important part of this is speech motor learning, the brain's ability ...
An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes with 92% accuracy from one to three years after patients received cochlear ...
Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Today, Israeli AI startup aiOla announced ...
Just in time for Halloween 2024, Meta has unveiled Meta Spirit LM, the company’s first open-source multimodal language model capable of seamlessly integrating text and speech inputs and outputs.