Those who loathe talking on the phone to automated speech recognition systems may take solace in the fact that scientists are working to make such systems more lifelike and less annoying to use. “From ...

(Nanowerk Spotlight) The human brain effortlessly converts spoken words into meaning, requiring minimal energy while achieving remarkable accuracy. Replicating this feat in artificial systems has ...

One group commonly misunderstood by voice technology are individuals who speak African American English, or AAE. Researchers designed an experiment to test how AAE speakers adapt their speech when ...

Voice and Speech Recognition Market growth is driven by rising use in smartphones, automotive, and smart home devices, along with advancements in AI, NLP, and voice-enabled virtual assistants.Austin, ...

The University of Illinois Urbana-Champaign (UIUC) is partnering with Amazon, Apple, Google, Meta, Microsoft, and nonprofit partners in the Speech Accessibility Project. The project's aim is to ...

IBM and Honda this week announced that they have jointly developed a hands-free and natural-sounding in-vehicle speech-recognition system. Honda will offer the system as standard equipment on the 2005 ...

In a recent white paper, former Scholastic president of education Margery Mayer dubbed 2021 the “year of speech recognition” in education. And she may be right: A spike in adoption by edtech ...

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 ...

IBM’s speech recognition system now boasts a 5.5 percent error rate. This milestone is an industry record for conversational speech recognition, according to IBM ...

Air traffic control (ATC) systems are increasingly leveraging sophisticated speech recognition technologies to enhance communication between controllers and pilots, thereby improving operational ...

This Project was completed by: Aakash Jain, Krishna Teja Panchagnula, and Nitish Paliwal. Our project aimed at developing a Real Time Speech Recognition Engine on an FPGA using Altera DE2 board. The ...