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.
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
Opportunities and drawbacks of using artificial intelligence for training
Technological developments are one of the major forces behind the need for retraining, but they can also be part of the solution.
Identifying and characterising AI adopters - A novel approach based on big data
This work employs a novel approach to identify and characterise firms adopting Artificial Intelligence (AI), using different sources of large microdata.