公开(公告)号：US20210073638A1

公开(公告)日：2021-03-11

申请号：US17099387

申请日：2020-11-16

Applicant: Google LLC

Inventor： Benjamin Kenneth Coppin ,  Mustafa Suleyman ,  Thomas Chadwick Walters ,  Timothy Mann ,  Chia-Yueh Carlton Chu ,  Martin Szummer ,  Luis Carlos Cobo Rus ,  Jean-Francois Crespo

IPC: G06N3/08 ,  G06N20/00 ,  G06F16/9535 ,  G06F16/2457 ,  G06N3/04 ,  G06N7/00

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using a machine learning model that has been trained through reinforcement learning to select a content item. One of the methods includes receiving first data characterizing a first context in which a first content item may be presented to a first user in a presentation environment; and providing the first data as input to a long-term engagement machine learning model, the model having been trained through reinforcement learning to: receive a plurality of inputs, and process each of the plurality of inputs to generate a respective engagement score for each input that represents a predicted, time-adjusted total number of selections by the respective user of future content items presented to the respective user in the presentation environment if the respective content item is presented in the respective context.

公开(公告)号：US10210884B2

公开(公告)日：2019-02-19

申请号：US15600321

申请日：2017-05-19

Applicant: Google LLC

Inventor： Richard Francis Lyon ,  Ron Weiss ,  Thomas Chadwick Walters

IPC: G10L21/02 ,  G10L25/51 ,  G10L21/028 ,  G10L21/0208 ,  G10L21/0272 ,  G10L21/0308 ,  G10L21/0356 ,  G10L21/0388

Abstract: Systems and methods facilitating removal of content from audio files are described. A method includes identifying a sound recording in a first audio file, identifying a reference file having at least a defined level of similarity to the sound recording, and processing the first audio file to remove the sound recording and generate a second audio file. In some embodiments, winner-take-all coding and Hough transforms are employed for determining alignment and rate adjustment of the reference file in the first audio file. After alignment, the reference file is filtered in the frequency domain to increase similarity between the reference file and the sound recording. The frequency domain representation (FR) of the filtered version is subtracted from the FR first audio and the result converted to a time representation of the second audio file. In some embodiments, spectral subtraction is also performed to generate a further improved second audio file.