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, ...

In K–12 education, Automatic Speech Recognition (ASR) is increasingly being applied to support learning, engagement, and accessibility. However, developing ASR systems for children continues to poses ...

Speech recognition has evolved from rudimentary pattern‐matching systems into sophisticated, data‐driven technologies that convert spoken language into written text. Modern automatic speech ...

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 ...

What if the race to perfect AI speech recognition wasn’t just about accuracy but also speed and usability? In a world where audio-to-text transcription powers everything from virtual meetings to ...

Today, we may think of this as a relatively simple request for our handy voice assistants to accomplish. And yet, it’s the culmination of decades of progress in Automatic Speech Recognition (ASR) ...