An Open Dataset of Synthetic Speech
This paper introduces a multilingual, multispeaker dataset composed of synthetic and natural speech, designed to foster research and benchmarking in synthetic speech detection.
Advancing Audio Phylogeny: A Neural Network Approach for Transformation Detection
In this study we propose a novel approach to audio phylogeny, i.e. the detection of relationships and transformations within a set of near-duplicate audio items, by leveraging a deep neural network for efficiency and extensibility.
2023 AI Index Report
The AI Index is an independent initiative at the Stanford Institute for Human-Centered Artificial Intelligence (HAI), led by the AI Index Steering Committee, an interdisciplinary group of experts from across academia and industry.
Gender Diversity in AI Research
The existing evidence base about gender diversity in the AI workforce is, however, not without its limitations: It is mostly based on small samples that although highly relevant (technology industry workforce, papers presented in prestigious confe
Identifying artificial intelligence actors using online data
This paper uses information collected and provided by GlassAI to analyse the characteristics and activities of companies and universities in Canada, Germany, the United Kingdom and the United States that mention keywords related to Artificial Inte