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公开(公告)号：US10515399B1
公开(公告)日：2019-12-24
申请号：US14571180
申请日：2014-12-15
Applicant: Amazon Technologies, Inc.
Inventor： Brandon Scott Durham , Toby Ray Latin-Stoermer , Darren Levi Malek , Christopher Lon McGilliard
Abstract: The present disclosure provides computer-implemented systems and processes for augmenting user ratings of items, such as a rating of a song playing on a user device, by analyzing contextual information, such as user and/or device activity data associated with the device. The contextual information may be used to determine an associated intensity of the rating or feedback. The determined intensity levels can be used to weigh the associated rating events and improve the quality of item recommendations that are based on such ratings. Contextual information may indicate whether the user transitioned from another application to rate an item, device status information, and so on. In one embodiment, contextual information can be used to assess how intensely the user feels about a music item and to provide improved music recommendations, such as songs to provide in a playlist or radio station, based on the intensity.
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公开(公告)号：US09299331B1
公开(公告)日：2016-03-29
申请号：US14103444
申请日：2013-12-11
Applicant: Amazon Technologies, Inc.
Inventor： Brandon Scott Durham , Sarvesh Chandra Regmi , Vladimir Lazebny , Joshua Fredrick Lutes , Darren Levi Malek , Haowei Lu , Christopher Woolf Phillips , Kintan Dilipkumar Brahmbhatt , Toby Ray Latin-Stoermer , Gabriela Ahern , William Jarred Leslie , Xinjie Di , Benjamin Lee Shepherd
IPC: G10H7/00 , G06F17/30 , H04N21/262
CPC classification number: G06F17/30743 , G06F17/30749 , G06F17/30772 , G10H2240/081 , G10H2240/085 , G10H2240/131 , H04N21/26258 , H04N21/8113
Abstract: Techniques are described for automatically selecting musical content for playback based on an initial “seed” of music selected by a user in a way that seamlessly extends the user's listening experience. The initially selected seed music might be, for example, an album or a playlist. Music that follows the seed music is algorithmically selected to match the music selected by the user.
Abstract translation: 描述了用于基于用户选择的音乐的初始“种子”以无缝地扩展用户的听觉体验的方式自动选择用于回放的音乐内容的技术。 最初选择的种子音乐可以是例如专辑或播放列表。 在种子音乐之后的音乐被算法地选择以匹配用户选择的音乐。
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公开(公告)号：US10854189B2
公开(公告)日：2020-12-01
申请号：US16139984
申请日：2018-09-24
Applicant: Amazon Technologies, Inc.
Inventor： Jonathan B. Feinstein , Alok Verma , Amina Shabbeer , Brandon Scott Durham , Catherine Breslin , Edward Bueche , Fabian Moerchen , Fabian Triefenbach , Klaus Reiter , Toby R. Latin-Stoermer , Panagiota Karanasou , Judith Gaspers
Abstract: Techniques are provided for training a language recognition model. For example, a language recognition model may be maintained and associated with a reference language (e.g., English). The language recognition model may be configured to accept as input an utterance in the reference language and to identify a feature to be executed in response to receiving the utterance. New language data (e.g., other utterances) provided in a different language (e.g., German) may be obtained. This new language data may be translated to English and utilized to retrain the model to recognize reference language data as well as language data translated to the reference language. Subsequent utterances (e.g., English utterances, or German utterances translated to English) may be provided to the updated model and a feature may be identified. One or more instructions may be sent to a user device to execute a set of instructions associated with the feature.
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公开(公告)号：US20200098351A1
公开(公告)日：2020-03-26
申请号：US16139984
申请日：2018-09-24
Applicant: Amazon Technologies, Inc.
Inventor： Jonathan B. Feinstein , Alok Verma , Amina Shabbeer , Brandon Scott Durham , Catherine Breslin , Edward Bueche , Fabian Moerchen , Fabian Triefenbach , Klaus Reiter , Toby R. Latin-Stoermer , Panagiota Karanasou , Judith Gaspers
Abstract: Techniques are provided for training a language recognition model. For example, a language recognition model may be maintained and associated with a reference language (e.g., English). The language recognition model may be configured to accept as input an utterance in the reference language and to identify a feature to be executed in response to receiving the utterance. New language data (e.g., other utterances) provided in a different language (e.g., German) may be obtained. This new language data may be translated to English and utilized to retrain the model to recognize reference language data as well as language data translated to the reference language. Subsequent utterances (e.g., English utterances, or German utterances translated to English) may be provided to the updated model and a feature may be identified. One or more instructions may be sent to a user device to execute a set of instructions associated with the feature.
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公开(公告)号：US10083232B1
公开(公告)日：2018-09-25
申请号：US14571132
申请日：2014-12-15
Applicant: Amazon Technologies, Inc.
Inventor： Brandon Scott Durham , Toby Ray Latin-Stoermer , Darren Levi Malek , Christopher Lon McGilliard
IPC: G06F17/30 , G06F3/0482 , G06F3/0484
CPC classification number: G06F16/639 , G06Q30/0282 , H04N21/251 , H04N21/44218 , H04N21/4756 , H04N21/4826 , H04N21/6582 , H04N21/8113
Abstract: The present disclosure provides computer-implemented systems and processes for augmenting user ratings of items, such as a rating of a song playing on a user device, by analyzing contextual information, such as user and/or device activity data associated with the device. The contextual information may be used to determine an associated intensity of the rating or feedback. The determined intensity levels can be used to weigh the associated rating events and improve the quality of item recommendations that are based on such ratings. Contextual information may indicate whether the user transitioned from another application to rate an item, device status information, and so on. In one embodiment, contextual information can be used to assess how intensely the user feels about a music item and to provide improved music recommendations, such as songs to provide in a playlist or radio station, based on the intensity.
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Patent Agency Ranking
公开(公告)号：US09305530B1
公开(公告)日：2016-04-05
申请号：US14503073
申请日：2014-09-30
Applicant: Amazon Technologies, Inc.
Inventor： Brandon Scott Durham , Darren Levi Malek , Toby Ray Latin-Stoermer , Abhishek Mishra , Jason Christopher Hall
CPC classification number: G10L25/87 , G10H1/0008 , G10H1/361 , G10H2210/041 , G10H2210/056 , G10H2220/011 , G10H2240/325 , G10L25/27 , G10L25/45 , G10L25/51 , G10L25/78 , G10L25/81
Abstract: A technology for synchronizing text with audio includes analyzing the audio to identify voice segments in the audio where a human voice is present and to identify non-voice segments in proximity to the voice segments. Segmented text associated with the audio, having text segments, may be identified and synchronized to the voice segments.
Abstract translation: 用于将文本与音频同步的技术包括分析音频以识别存在人类语音的音频中的语音段，并且识别语音段附近的非语音段。 与音频相关联的具有文本段的分段文本可以被识别并且与语音段同步。
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公开(公告)号：US10937413B2
公开(公告)日：2021-03-02
申请号：US16139891
申请日：2018-09-24
Applicant: Amazon Technologies, Inc.
Inventor： Jonathan B. Feinstein , Alok Verma , Amina Shabbeer , Brandon Scott Durham , Catherine Breslin , Edward Bueche , Fabian Moerchen , Fabian Triefenbach , Klaus Reiter , Toby R. Latin-Stoermer , Panagiota Karanasou , Judith Gaspers
Abstract: Techniques are provided for training a target language model based at least in part on data associated with a reference language model. For example, language data utilized to train an English language model may be translated and provided as training data to train a German language model to recognize utterances provided in German. By utilizing the techniques herein, the efficiency of training a new language model may be improved due at least in part to replacing labor-intensive operations conventionally performed by specialized personnel with machine-generated data. Additionally, techniques discussed herein provide for reducing the time required for training a new language model by leveraging information associated with utterances of one language to train the new language model associated with a different language.
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公开(公告)号：US10318236B1
公开(公告)日：2019-06-11
申请号：US15147191
申请日：2016-05-05
Applicant: Amazon Technologies, Inc.
Inventor： Rickesh Pal , Kintan Dilipkumar Brahmbhatt , Brandon Scott Durham , Jonathan Barnett Feinstein , Yun Suk Paik , Daniel Paul Ryan
Abstract: Approaches provide for using a voice communications device to control, refine, or otherwise manage the playback of media content in response to a spoken instruction. For example, the voice communications device can receive a request to refine and/or initiate the playback of media content, such as music, news, audio books, audio broadcasts, and other such content. Audio input data that includes the request can be received by the voice communications device and an application executing on the voice communications device or otherwise in communication with the voice communications device can analyze the audio input data to determine how to carry out the request. The application can determine whether there is an active play queue of media content configured to play using the voice communications device. In the situation where there is no media content being played using the voice communications device, the application can determine media content using information in the request. In the situation where there is an active play queue of media content, the information can be used to refine the play queue. Thereafter, the application can cause the media content associated with the active play queue to play using the voice-enable communications device.
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公开(公告)号：US09170712B2
公开(公告)日：2015-10-27
申请号：US14577646
申请日：2014-12-19
Applicant: Amazon Technologies, Inc.
Inventor： Brandon Scott Durham , Paul William Roberts , Scott K. Meaker , Jim L. Dantzler , Randall E. Moss , Erin O. Anderson , Benjamin J. Shepherd
IPC: G06F17/30 , G06F3/0482 , G06Q30/02 , H04L29/06
CPC classification number: G06F3/0482 , G06F17/30029 , G06Q30/02 , G06Q30/0621 , H04L65/60
Abstract: Disclosed are various embodiments for presenting content items that are related to media items that are currently being consumed by a user. A media item in a stream of media items being presented to a client is identified. A content item that is relevant to the media item is determined. An entry is added to the entries of a relevant content listing. The entry includes a link to the content item. The entries in the relevant content listing are arranged in a time-based sequence such that the at least one entry correlates to a sequence of playback in the client of a plurality of media files. The relevant content listing is updated in a user interface that is being presented to the user.
Abstract translation: 公开了用于呈现与当前正在被用户消费的媒体项相关的内容项的各种实施例。 识别出呈现给客户端的媒体流中的媒体项目。 确定与媒体项目相关的内容项目。 将条目添加到相关内容列表的条目。 该条目包含指向内容项目的链接。 相关内容列表中的条目以时间顺序排列，使得至少一个条目与多个媒体文件的客户端中的重放顺序相关。 在呈现给用户的用户界面中更新相关内容列表。
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公开(公告)号：US20150106717A1
公开(公告)日：2015-04-16
申请号：US14577646
申请日：2014-12-19
Applicant: Amazon Technologies, Inc.
Inventor： Brandon Scott Durham , Paul William Roberts , Scott K. Meaker , Jim L. Dantzler , Randall E. Moss , Erin O. Anderson , Benjamin J. Shepherd
IPC: G06F3/0482 , H04L29/06
CPC classification number: G06F3/0482 , G06F17/30029 , G06Q30/02 , G06Q30/0621 , H04L65/60
Abstract: Disclosed are various embodiments for presenting content items that are related to media items that are currently being consumed by a user. A media item in a stream of media items being presented to a client is identified. A content item that is relevant to the media item is determined. An entry is added to the entries of a relevant content listing. The entry includes a link to the content item. The entries in the relevant content listing are arranged in a time-based sequence such that the at least one entry correlates to a sequence of playback in the client of a plurality of media files. The relevant content listing is updated in a user interface that is being presented to the user.
Abstract translation: 公开了用于呈现与当前正在被用户消费的媒体项相关的内容项的各种实施例。 识别出呈现给客户端的媒体流中的媒体项目。 确定与媒体项目相关的内容项目。 将条目添加到相关内容列表的条目。 该条目包含指向内容项目的链接。 相关内容列表中的条目以时间顺序排列，使得至少一个条目与多个媒体文件的客户端中的重放顺序相关。 在呈现给用户的用户界面中更新相关内容列表。
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