Neural contextual bias allows speech recognition models to leverage contextually relevant information, improving transcription accuracy. However, the bias mechanism is ...
Meta is returning facial recognition technology to its apps more than three years after it shut down facebook's "facial recognition" ...
Generating accurate and aesthetically appealing visual texts in text-to-image generation models presents a significant challenge. While diffusion-based models have succeeded ...
In recent years, end-to-end automatic speech recognition (ASR) systems have proven to be remarkably accurate and effective, but these systems ...
Arlo is updating its Security cameras and video doorbells with additional artificial intelligence capabilitiesThe company is adding the ability for ...
Human and primate perception occurs on multiple time scales, with some visual attributes identified in less than 200 ms, thanks ...
End-to-end (E2E) neural networks have emerged as flexible and accurate models for multilingual automatic speech recognition (ASR). However, as the ...
LLM models are increasingly used in healthcare for tasks such as question answering and document summarization, with performance similar to ...
*Work done during the internship at Apple Audiovisual speech contains synchronized visual and audio information that provides cross-modal supervision for ...
Self-supervised features are typically used instead of filterbank features in speech verification models. However, these models were originally designed to ...
