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    Media Sharing Community
    1.
    发明公开
    Media Sharing Community 审中-公开

    公开(公告)号：US20240354049A1

    公开(公告)日：2024-10-24

    申请号：US18396022

    申请日：2023-12-26

    申请人： RMZ Development LLC

    发明人： Richard M. Zelson ,  Joseph A. Sorisi

    IPC分类号： G06F3/16 ,  G06F3/0482 ,  G06F16/60 ,  G06F16/635 ,  G06F16/638 ,  G06F16/68 ,  H04B1/3827 ,  H04L65/60 ,  H04L65/611 ,  H04L65/612 ,  H04L67/306 ,  H04R1/10 ,  H04R27/00 ,  H04W4/21 ,  H04W4/80 ,  H04W84/12

    CPC分类号： G06F3/165 ,  G06F16/60 ,  G06F16/635 ,  G06F16/639 ,  G06F16/68 ,  H04B1/3827 ,  H04L65/60 ,  H04L65/611 ,  H04L65/612 ,  H04L67/306 ,  H04W4/21 ,  G06F3/0482 ,  G06F3/167 ,  H04R1/1008 ,  H04R27/00 ,  H04R2227/003 ,  H04R2420/07 ,  H04W4/80 ,  H04W84/12

    摘要： The present invention enables a user to share his/her listening experience selectively with others without sharing headphones and without disturbing others who do not want to listen. In a preferred embodiment, a first listener can accomplish this by storing in a Portable Electronic Device or similar device a library of listening experiences, listening to one of the listening experiences, and while listening to that one listening experience streaming the one listening experience to at least one other Portable Electronic Device or similar device. A second listener at the other Portable Electronic Device can then listen to the same listening experience as the first listener at the same time. It is expected that the listening experiences will typically be songs or other music but the invention may be practiced with any type of audio content. The first listener may also create a playlist of the listening experiences in the library and make the playlist available to others. Others may use the playlist to access the library and listen to one or more listening experiences stored in the library. Also, utilizing the same interface and communication methodologies as described above, the technology platform detailed in this application can be used for commercial purposes to stream location based content, audio and otherwise, to a connected network of Portable Electronic Devices. Commercial uses of this functionality include providing commercial establishments with the ability to create synchronous (users come into a stream at the exact point that it is being streamed in real time) and or asynchronous (users can select and start a transmission from the beginning) featured channels (location based) where they can stream any self created or otherwise authorized content to other Portable Electronic Devices in their range.

    Music discovery
    3.
    发明授权
    Music discovery 有权

    公开(公告)号：US12067049B2

    公开(公告)日：2024-08-20

    申请号：US18297201

    申请日：2023-04-07

    申请人： Sonos, Inc.

    发明人： Paul Bates

    IPC分类号： G06F16/00 ,  G06F16/40 ,  G06F16/48 ,  G06F16/60 ,  G06F16/63 ,  G06F16/632 ,  G06F16/638 ,  G06F16/68

    CPC分类号： G06F16/632 ,  G06F16/40 ,  G06F16/48 ,  G06F16/60 ,  G06F16/63 ,  G06F16/638 ,  G06F16/68 ,  G06F16/686

    摘要： Examples described herein relate to music discovery. In one aspect, a method is provided that involves (a) receiving by a computing device an indication of a search tool from among a plurality of search tools, where each search tool of the plurality of search tools is associated with at least one respective media service, (b) receiving by the computing device an indication of a media characteristic, where the computing device receives the media characteristic via the indicated search tool, (c) selecting by the computing device one or more of the at least one respective media service that maintains media associate with the indicated media characteristic, and (d) sending by the computing device an indication of the selected one or more of the at least one respective media service.

    Method and device for audio input routing
    6.
    发明授权
    Method and device for audio input routing 有权

    公开(公告)号：US11876922B2

    公开(公告)日：2024-01-16

    申请号：US17833446

    申请日：2022-06-06

    申请人： GOOGLE TECHNOLOGY HOLDINGS LLC

    发明人： Kazuhiro Ondo ,  Michael P. Labowicz ,  Hideki Yoshino ,  Andrew K. Wells

    IPC分类号： G06F17/00 ,  H04M1/60 ,  G06F16/60 ,  G10L15/20 ,  G10L15/28 ,  H04M1/27

    CPC分类号： H04M1/6041 ,  G06F16/60 ,  G10L15/20 ,  G10L15/28 ,  H04M1/271 ,  H04M2250/74

    摘要： A method on a mobile device for a wireless network is described. An audio input is monitored for a trigger phrase spoken by a user of the mobile device. A command phrase spoken by the user after the trigger phrase is buffered. The command phrase corresponds to a call command and a call parameter. A set of target contacts associated with the mobile device is selected based on respective voice validation scores and respective contact confidence scores. The respective voice validation scores are based on the call parameter. The respective contact confidence scores are based on a user context associated with the user. A call to a priority contact of the set of target contacts is automatically placed if the voice validation score of the priority contact meets a validation threshold and the contact confidence score of the priority contact meets a confidence threshold.

    Method and system for distributed machine learning
    9.
    发明授权
    Method and system for distributed machine learning 有权

    公开(公告)号：US11651286B2

    公开(公告)日：2023-05-16

    申请号：US17726910

    申请日：2022-04-22

    申请人： VERIZON PATENT AND LICENSING INC.

    发明人： Andrew Feng ,  Erik Ordentlich ,  Lee Yang ,  Peter Cnudde

    IPC分类号： G06F16/60 ,  G06N20/00 ,  H04L67/10

    CPC分类号： G06N20/00 ,  H04L67/10

    摘要： The present teaching relates to estimating one or more parameters on a system including a plurality of nodes. In one example, the system comprises: one or more learner nodes, each of which is configured for generating information related to a group of words for estimating the one or more parameters associated with a machine learning model; and a plurality of server nodes, each of which is configured for obtaining a plurality of sub-vectors each of which is a portion of a vector that represents a word in the group of words, updating the sub-vectors based at least partially on the information to generate a plurality of updated sub-vectors, and estimating at least one of the one or more parameters associated with the machine learning model based on the plurality of updated sub-vectors.