Conversational Speech Search on Massive Audio Datasets
Anthony Scodary ⋅ Wonkyum Lee ⋅ Nico Benitez ⋅ Samuel Kim
2017 Demonstration
Abstract
We present the Sift conversational search system. Our search system is designed to search through billions of minutes of long-form, conversational speech data. The core technology allows for complex searches that combine semantic and signal information, and a method for executing constraints on time, logical structure, and metadata.
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