Significant improvements have been made to improve the accuracy and efficiency of automatic speech recognition (ASR) systems. Recent research delves ...
The evolution of technology in speech recognition has been marked by significant advances, but challenges such as latency (the delay ...
Recent advances in deep learning and automatic speech recognition (ASR) have enabled end-to-end (E2E) ASR and increased its accuracy to ...
A completely offline use of Whisper ASR and LLaMA-2 GPT ModelRaspberry Pi running a LLaMA model, Image by the authorNowadays, ...
Recent advances in deep learning and automatic speech recognition have raised the accuracy of end-to-end speech recognition to a new ...
The combination of CLIP and Segment Anything Model (SAM) is an innovative approach to Vision Foundation Models (VFM). SAM performs ...
How can we effectively address object recognition? A team of researchers from Meta ai and the University of Maryland tackled ...
FER is fundamental in human-computer interaction, sentiment analysis, affective computing, and virtual reality. It helps machines understand and respond to ...
In an attempt to improve user experience, Open conversation is heading toward a new frontier where conversations are not just ...
In image recognition, researchers and developers are constantly seeking innovative approaches to improve the accuracy and efficiency of computer vision ...
