Interspeech 2019, held in Graz Austria, saw experts from around the world gathering to discuss some of the most recent advances in technologies at the crossroads of speech and language. At Lab41 we were excited to co-host, together with SRI International, one of 10 special sessions and challenges, the VOiCES from a distance challenge.
Cyphercat, a research project out of IQT Labs, helps determine if training data is safe. Cyphercat measures the privacy risks that arise from sharing access to models trained on private data and enables safe and informed model sharing.
Generative Adversarial Networks (GANs) have become increasingly popular in machine learning due to their ability to mimic any distribution of data. By pitting two neural networks against each other, they are able to learn ever more subtle differences between real and synthetic data, which in turn drives the generation of ever more life-like examples, otherwise known as deep fakes.
Sharing some highlights from the first day of the 57th annual meeting of the Association for Computational Linguistics (ACL), held July 28-August 2, 2019.
LAb41 discusses next steps on their VOiCES project.
LAb41 discusses VOiCES, the first open source speech data-set recorded in real environments with far-field microphones, capturing reverberant acoustics and background noise.
Lab41 recently started tackling the question of how much information is a model memorizing and how can we better understand this?
Machine Learning (ML) models are increasingly becoming more ubiquitous in our everyday lives, many of the models built using personal and sensitive data. For instance, ML models now regularly use unique biometric data to identify us, such as our voices, our fingerprints, faces or iris’.
Last year, we announced the creation of Squiggle, an algorithm for intuitive DNA sequence visualization and analysis along with an accompanying software package to enable interactive exploration of DNA sequences. Next, we created DNAvisualization.org so that it requires only a web browser to operate.
Discusses the VOiCES project and removal of dynamic noise, sources of noise which do not repeat, or do so only sporadically.
Discusses day three highlights from RECOMB 2019, a conference focusing on computational molecular biology.
Discusses day two highlights from RECOMB 2019, a conference focusing on computational molecular biology. There were two really interesting presentations today that show just how far deep learning has come in one of the hardest research areas in computational biology: proteins.