An attractive proposition for commercial enterprises and indie developers looking to build speech recognition and transcription services ...

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 ...

Speech recognition has a wide range of applications, from voice assistants to dictation software. This project demonstrates how to use LSTM networks for recognizing different emotions in speech using ...

Hasegawa-Johnson leads the Speech Accessibility Project, an initiative at the University of Illinois Urbana-Champaign to make voice recognition devices more useful for people with speech disabilities.

Voiceitt has created software to help people with non-standard speech use their voices with tools like Webex and ChatGPT.

Brain–computer interfaces can enable communication for people with paralysis by transforming cortical activity associated with attempted speech into text on a computer screen. Communication with ...

The company adapted OpenAI's Whisper model using its novel technique and improved its speech recognition accuracy by a significant margin.

Machine listening: Making speech recognition systems more inclusive Study explores how African American English speakers adapt their speech to be understood by voice technology.

Human brain cells hooked up to a chip can do speech recognition Clusters of brain cells grown in the lab have shown potential as a new type of hybrid bio-computer.