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Tech Papers 2019: This paper presents methods to infer user information from voice search for enhanced personalization and reduced computational cost without explicit enrolment.
Abstract
The use of voice search has seen a significant increase over the past few years with the rise of voice-enabled devices. Voice search, by construction, affords information about the user that is not available in conventional text search. Most notably, implicit information obtained from raw audio can be used to tailor the underlying content retrieval system to more closely match user preferences. To maximize utility with minimal user input, however, an optimal voice search system should be able to perform tasks of this nature with minimal supervision.
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