Automatic speech recognition (ASR) has made incredible advances in the past few years, especially for widely spoken languages such as English. Prior to 2020, it was typically assumed that human ...

The business world often believes that the numbers speak for themselves. Well, in the age of technological marvels, it’s not just the numbers that are speaking; it’s your customers as well. With ...

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 ...

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 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 ...

Discover how FPGA-accelerated automatic speech recognition (ASR) models are reshaping the landscape of speech-to-text applications by enabling faster inference, significantly reduced latency, and ...

NPR's Ayesha Rascoe speaks to Howard University professor Gloria Washington about a new project that will make it easier for Black people to be understood by automatic speech recognition technology.

To understand how hearing loss impacts people, researchers study people's ability to recognize speech, and hearing aid algorithms are often used to improve human speech recognition. Researchers ...

Curriculum and assessment company Amplify has introduced a custom Automatic Speech Recognition (ASR) system to support its instructional products. The system converts spoken language into written text ...

With only 2,200 people still speaking the Manx language, Chris Bartley is using AI text-to-speech systems to protect and showcase the heritage of endangered languages. Bartley, a School of Computer ...

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 ...