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Filling the sensory gap in Big Data.

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If you have a question about this talk, please contact Dr Sobia Hamid.

Data analysis creates value by uncovering relationships between various types of data. Whilst there is lots of thought put into developing new data analysis techniques, this talk, on the other hand, focuses on the nature of the data itself. As a matter of fact, the evolution of technology across time has unlocked access to data layers of an increasingly rich and complex nature. As a consequence, new value propositions have arisen not only from new analysis techniques, but also from treating new types of data. Nowadays, this movement has reached as deep as allowing to think of humans as having an equivalent data self in various computer systems. However, at the cutting edge frontier of this movement, there is still an opportunity that is untapped, that of creating value from exploring one of the richest and hardest to reach data sets: human sensory data. As a case study, Audio Analytic is exploring this opportunity in the domain of acoustic data.

Dr. Sacha Krstulovic is the VP of Technology at Audio Analytic, a company building a significant leadership in automatic sound recognition. Before joining AA, Sacha was a Senior Research Engineer at Nuance’s Advanced Speech Group (Nuance ASG ), where he worked on pushing the limits of large-scale speech recognition services such as Voicemail-to-Text and Voice-Based Mobile Assistants (Apple Siri type services). Prior to that, he was a Research Engineer at Toshiba Research Europe Ltd., developing novel Text-To-Speech synthesis approaches able to learn from data. He is the author and co-author of two book chapters, two international patents and several articles in international journals and conferences.

This talk is part of the Data Insights Cambridge series.

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