The authors have developed an enhanced audio-visual Sound Event Localization and Detection (SELD) network, improving on the audio-only SELDnet23 model by integrating audio and video information. The system uses YOLO…
Continue readingThe article discusses a new method for detecting deepfake videos. Deepfakes are synthetic media, including images, videos, and audio, that can be used for unethical purposes. The proposed method uses…
Continue readingThis research investigates the application of Contrastive Language-Image Pretraining (CLIP) model in the area of sound source localization. The authors propose a framework that translates audio signals into tokens compatible…
Continue readingThe article presents a single model for multilingual audio-visual speech recognition tasks. The researchers were inspired by the human cognitive system’s ability to distinguish different languages without conscious effort. They…
Continue readingThis study focuses on enhancing the accuracy of child-adult speaker classification in dyadic interactions, particularly in the context of Autism Spectrum Disorder assessments. Traditionally, this classification relies on audio modeling…
Continue readingThe research by Naver Labs Europe focuses on improving goal-oriented visual navigation through large-scale machine learning. The primary challenge lies in learning compact representations that can generalize to unseen environments…
Continue readingCLIPSONIC is a novel approach to text-to-audio synthesis that leverages unlabeled videos and pretrained language-vision models. The study aims to address the challenge of acquiring high-quality text annotations for audio…
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