Whisper Model

Whisper is a large, pre-trained multilingual speech recognition model achieving state-of-the-art performance in various tasks, including automatic speech recognition (ASR), speaker verification, and even deepfake detection. Current research focuses on enhancing Whisper's accuracy and robustness for low-resource languages and diverse speaker characteristics, often employing techniques like retrieval augmentation, knowledge distillation, and adaptive compression to improve efficiency and reduce computational costs. These advancements are significant for expanding access to speech technology and improving its reliability across diverse applications, from personalized assistants to combating misinformation.