Google Inc.

Fritz Obermeyer

Brian Edmond Brewington

Alejandro Luebs

Sujoy Banerjee

Implementations relate to providing geographic locations related to user interests. In some implementations, a method includes receiving an indication of a user location and determining one or more subjects of interest to the user based on examining a collection of images associated with the user. The subjects of interest are determined by determining distinctive image characteristics that have a higher frequency in the collection of user images compared to a frequency of similar stored image characteristics of a population of images associated with multiple users. Site characteristics of a geographic area are obtained based on images captured in the geographic area. The site characteristics are compared to the subjects of interest and one or more geographic locations in the geographic area are determined that have site characteristics similar to the subjects of interest. The geographic locations are provided to be output by the user device.

Providing geographic locations related to user interests

Mixture model based soft-clipping detection includes receiving input audio samples, generating soft-clipping information indicating whether the input audio samples include soft-clipping distortion, and outputting the soft-clipping information. Generating the soft-clipping information includes fitting a mixture model to the input audio samples, wherein fitting the mixture model to the input audio samples includes generating a fitted mixture model, such that the fitted mixture model has fitted parameters, and evaluating a soft-clipping distortion metric based on the parameters of the fitted mixture model, wherein evaluating the soft-clipping distortion metric includes identifying a soft-clipping distortion value.

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Berkeley, CA, United States of America

Fritz Obermeyer