The productivity upside is straightforward. Research, like the Stanford report linked above, has repeatedly shown that ...

Overview Leading voice AI frameworks power realistic, fast, and scalable conversational agents across enterprise, consumer, ...

Google introduces MedASR, an open-weight medical speech-to-text model positioned as a foundational layer for healthcare AI ...

Rosy Southwell is a postdoc research scientist at CU Boulder who holds a PhD in Cognitive Neuroscience from University College London, UK and an MS in Natural Sciences from University of Cambridge, UK ...

The field of speech recognition has experienced transformative advances owing to the integration of neural network methodologies. Modern systems now merge statistical approaches with deep learning, ...

The Speech Accessibility Project is a research initiative to make voice recognition technology more useful for people with a range of diverse speech patterns and disabilities. The project is housed ...

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 ...

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 Mistral released an open-sourced voice ...

As Mark Hasegawa-Johnson combed through data from his latest project, he was pleasantly surprised to uncover a recipe for Eggs Florentine. Sifting through hundreds of hours of recorded speech will ...

A new generative AI feature brings voice recognition to tiny devices with a text-to-speech (TTS) synthetic dataset generation capability. It enables developers to generate synthetic speech data with ...

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 ...