Google Inc.

Fang Chu

Gang Feng

Yu Wang

Pedro Jose Moreno Mengibar

Ignacio Lopez Moreno

Li Liu

Quan Wang

Bo Zheng

Jin Shi

Jason William Pelecanos

Liu Fang

Guangda Lai

Yeming Fang

Yixin Chai

Ting Fu

Sean Wonjoon Choi

Ruohao Li

Dylan Myers

A method of generating an accurate speaker representation for an audio sample includes receiving a first audio sample from a first speaker and a second audio sample from a second speaker. The method includes dividing a respective audio sample into a plurality of audio slices. The method also includes, based on the plurality of slices, generating a set of candidate acoustic embeddings where each candidate acoustic embedding includes a vector representation of acoustic features. The method further includes removing a subset of the candidate acoustic embeddings from the set of candidate acoustic embeddings. The method additionally includes generating an aggregate acoustic embedding from the remaining candidate acoustic embeddings in the set of candidate acoustic embeddings after removing the subset of the candidate acoustic embeddings.

Speaker identification accuracy

Embodiments include a computer-implemented method that includes identifying a candidate parent entity having one or more characteristics indicative of the entity having a parent hierarchical relationship to another entity of an entity set, identifying a candidate child entity set including entities of the entity set that each have one or more characteristics indicative of the entity having a child hierarchical relationship to the candidate parent entity, comparing characteristics of the candidate parent entity to characteristics of an entity of the candidate child entity set to determine whether a hierarchical relationship exists between the candidate parent entity and the entity of the candidate child entity set, determining that a hierarchical relationship exists between the candidate parent entity and the entity of the candidate child entity set, and updating a hierarchical index to reflect the hierarchical relationship between the candidate parent entity and the entity of the candidate child entity set.

Systems and methods for identifying hierarchical relationships

Business information about business entities are received from a plurality of aggregate information sources such as business directories. Mobile application logs about user activities are received from a plurality of mobile devices. Business entities related to the user activities are identified based on the mobile application logs. Scored attributes about the related business entities are acquired by applying data analysis rules to the mobile application logs. Accuracy scores are determined for attribute values in the business information based on the acquired scored attributes. Updated business information for the business entities is generated based on the accuracy scores and outputted to users upon request.

Using mobile application logs to measure and maintain accuracy of business information

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Santa Clara, CA, United States of America

Fang Chu