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Speaker Diarization with Siamese Networks

Speaker diarization is an important and dedicated domain of speech research in which the number of speakers involved as well as the intervals during which each speaker is active is determined in an unsupervised fashion. It has a utility in a majority of applications related to audio and/or video document processing. We are interested in its application in financial services where the automatic detection of the number of speakers during phone...

Communications Blog

AI Separates Human's Voice from Background Noise to Measure VNR

VNR – a Metric to Determine Intelligibility of Voice Recordings

The “Dodd-Frank” Wall Street Reform and Consumer Protection Act is a massive piece of financial reform legislation passed in 2010 as a response to the financial crisis of 2008. A part of the act has enforced many banks in the U.S. – as well as Europe and Asia - to look at ways to verify audibility and intelligibility of voice recordings. Such recordings contain the calls of...

Communications Blog

Deriving Euclidean Distance Matrices on GPU

A Case Study on Computation of Very Large Matrices using Theano.

Communications Blog

AI Method "Ava" Verifies the Audibility of Voice Recordings

New US financial regulations, such as the "Dodd-Frank" Wall Street Reform and Consumer Protection Act, have enforced many banks in the US, Europe, and Asia to look at ways that can be used to verify audibility and intelligibility of voice recordings. Such recordings contain the activities of traders, wealth brokers and contact center workers.

Payments Blog