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1.
公开(公告)号:US20240137394A1
公开(公告)日:2024-04-25
申请号:US18049360
申请日:2022-10-24
Applicant: Spotify AB
Inventor: Joseph Cauteruccio , Mehdi Ben Ayed , Zhenwen Dai
IPC: H04L65/1069 , H04L65/613
CPC classification number: H04L65/1069 , H04L65/613
Abstract: Simulator augmented content selection is provided by initializing a content selection object according to session initialization parameter values associated with a simulated media content playback session. The content selection object corresponds to a candidate content selection machine learning model trained to predict selectable content media items for at least one simulated user. A simulated session including a sequence of predicted simulated user next actions and one or more predicted sets of selectable content items are generated by applying a simulated user model to content items identified by the initialized content selection object, where the simulated user model is trained to predict a next action of the simulated user in response to a simulated playback input received from the simulated user and each set of the selectable content items are correlated to each next action in the sequence of predicted simulated user next actions.
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2.
公开(公告)号:US11810564B2
公开(公告)日:2023-11-07
申请号:US17705233
申请日:2022-03-25
Applicant: Spotify AB
Inventor: Daniel Bromand , Joseph Cauteruccio , Sven Erland Fredrik Lewin
IPC: G10L15/22 , G10L15/08 , G10L15/30 , G10L21/0232 , H04R1/40 , H04R3/00 , H04R5/027 , G10L21/0208 , G10L21/0216
CPC classification number: G10L15/22 , G10L15/08 , G10L15/30 , G10L21/0232 , H04R1/406 , H04R3/005 , H04R5/027 , G10L2015/088 , G10L2015/223 , G10L2021/02082 , G10L2021/02166
Abstract: Systems and methods are provided for detecting wake words. An electronic device detects, from a microphone array, an audio signal in an environment proximate to the audio front end system. The electronic device processes the audio signal using a plurality of wake word detection engines, including dynamically adjusting how many wake word detection engines are available for processing the audio signal. The electronic device independently adjusts respective wake word detection thresholds for the plurality of wake word detection engines used to process the audio signal.
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3.
公开(公告)号:US20240236155A9
公开(公告)日:2024-07-11
申请号:US18049360
申请日:2022-10-25
Applicant: Spotify AB
Inventor: Joseph Cauteruccio , Mehdi Ben Ayed , Zhenwen Dai
IPC: H04L65/1069 , H04L65/613
CPC classification number: H04L65/1069 , H04L65/613
Abstract: Simulator augmented content selection is provided by initializing a content selection object according to session initialization parameter values associated with a simulated media content playback session. The content selection object corresponds to a candidate content selection machine learning model trained to predict selectable content media items for at least one simulated user. A simulated session including a sequence of predicted simulated user next actions and one or more predicted sets of selectable content items are generated by applying a simulated user model to content items identified by the initialized content selection object, where the simulated user model is trained to predict a next action of the simulated user in response to a simulated playback input received from the simulated user and each set of the selectable content items are correlated to each next action in the sequence of predicted simulated user next actions.
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公开(公告)号:US20230419187A1
公开(公告)日:2023-12-28
申请号:US17851426
申请日:2022-06-28
Applicant: Spotify AB
Inventor: Zhenwen Dai , Joseph Cauteruccio , Federico Tomasi , Mehdi Ben Ayed
IPC: G06N20/10
CPC classification number: G06N20/10
Abstract: Methods, systems and computer program products are provided for content generation. A distribution of policies is defined based on an action space. Distribution parameters are received from a reinforcement learning (RL) algorithm. In turn, a policy is randomly sampled from the distribution of policies. A candidate content item is generated using the sampled policy. A quality of the candidate content item is measured based on a predefined quality criteria and a parameter model is adjusted as specified by the reinforcement learning algorithm to obtain a plurality of updated distribution parameters. Environment settings are passed to a trained parameter model to obtain a plurality of policy distribution parameters. A predetermined number of policies from the distribution of policies are then sampled and the plurality of environment settings are passed to the predetermined number of sampled policies to obtain at least one content item.
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5.
公开(公告)号:US11308959B2
公开(公告)日:2022-04-19
申请号:US16787993
申请日:2020-02-11
Applicant: Spotify AB
Inventor: Daniel Bromand , Joseph Cauteruccio , Sven Erland Fredrik Lewin
IPC: G10L15/22 , G10L15/08 , G10L15/30 , G10L21/0232 , H04R1/40 , H04R3/00 , H04R5/027 , G10L21/0208 , G10L21/0216
Abstract: Systems and methods are provided for detecting wake words. An electronic device detects an audio signal; identifies two spatial zones as first and second sources of audio associated with the audio signal; processes the audio signal at two wake word detection engines, where each detection engine is associated with a respective spatial zone; determines, based on the processing at the wake word detection engines, whether the audio signal represents a wake word for the electronic device; and in accordance with a determination that the audio signal does represent a wake word, adjusts a wake word detection threshold for at least one of the wake word detection engines.
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