Learn More Today, Israeli AI startup aiOla announced the launch of a new, open-source speech recognition ... on Whisper but uses a novel “multi-head attention” architecture that predicts ...

This is a major obstacle for the development of more general-purpose AI, machines that can multi-task and adapt ... working on self-supervised learning for speech recognition.

Speech recognition remains a challenging problem in AI and machine learning. In a step toward solving it, OpenAI today open-sourced Whisper, an automatic speech recognition system that the company ...

Facebook AI Research (FAIR) open-sourced XLS-R, a cross-lingual speech recognition ... SR and translation tasks. We trust this [research] will enable machine learning applications that better ...

A multi-task learning model is able to perform multiple tasks at the same time and share information across datasets. In this case, it was trained on eight hate speech datasets from platforms like ...

“The goal is to build a single model that can perform many text-guided speech generation tasks through in-context learning ... results show that speech recognition models trained on Voicebox ...

The new system, called Deep Speech 2, is especially significant in how it relies entirely on machine learning for translation. Whereas older voice-recognition ... especially in tasks that require ...

This allowed the speech recognition engine to generalize between words and better recognize them in context. The team relied on Microsoft's homegrown deep learning Computational Network Toolkit to ...