Identifying Media Content
    72.
    发明申请
    Identifying Media Content 审中-公开
    识别媒体内容

    公开(公告)号:US20160342598A1

    公开(公告)日:2016-11-24

    申请号:US14945008

    申请日:2015-11-18

    Applicant: Spotify AB

    Abstract: Systems, devices, apparatuses, components, methods, and techniques for identifying media content for playback during a repetitive motion activity are provided. An example media-playback device includes a media-output device that plays media content items and a repetitive-motion activity content identification engine. The repetitive-motion activity content identification engine is configured to: review media content items to identify the media content items that are conducive to performing repetitive-motion activities; and select certain media content items from the media content items, the certain media content items being conducive to performing the repetitive-motion activities.

    Abstract translation: 提供了用于在重复运动活动期间识别用于回放的媒体内容的系统,设备,设备,组件,方法和技术。 示例性媒体回放设备包括播放媒体内容项目的媒体输出设备和重复运动活动内容识别引擎。 重复运动活动内容识别引擎被配置为:检查媒体内容项目以识别有助于执行重复运动活动的媒体内容项目; 并从媒体内容项目中选择某些媒体内容项目,某些媒体内容项目有助于执行重复运动活动。

    System for Managing Transitions Between Media Content Items
    73.
    发明申请
    System for Managing Transitions Between Media Content Items 审中-公开
    用于管理媒体内容项目之间的转换的系统

    公开(公告)号:US20160342382A1

    公开(公告)日:2016-11-24

    申请号:US14944972

    申请日:2015-11-18

    Applicant: Spotify AB

    Abstract: A system for playing media content items operates to provide smooth transitions between the media content items to continuously support a user's repetitive motion activity. The system can generate crossfade data containing information for transitions between media content items. The mix-in and mix-out points for the transitions are calculated to eliminate one or more portions of media content items that have lower musical energy than a majority portion of the items, and to maintain substantially consistent and/or stable musical energy (e.g., audio power or sound power) throughout the media content items including transitions therebetween.

    Abstract translation: 用于播放媒体内容项的系统用于在媒体内容项之间提供平滑的转换,以连续地支持用户的重复运动活动。 该系统可以生成包含媒体内容项目之间转换信息的交叉淡入淡出数据。 计算转换的混合和混合点,以消除具有比物品的大部分部分更低音乐能量的媒体内容项目的一个或多个部分,并保持基本一致和/或稳定的音乐能量(例如, ,音频功率或声音功率),包括其间的转换。

    AUTOMATICALLY GENERATED MEDIA PREVIEW

    公开(公告)号:US20220100461A1

    公开(公告)日:2022-03-31

    申请号:US17497429

    申请日:2021-10-08

    Applicant: Spotify AB

    Abstract: Systems, devices, apparatuses, components, methods, and techniques for automatically generating media previews are provided. An example media system for automatically generating media previews for a particular artist include a trailer generation application configured to receive input specifying an artist and duration of a trailer, automatically select clips from two or more media items by the artist, and automatically arrange and combine the clips into a media trailer for later playback.

    IDENTIFYING MEDIA CONTENT
    77.
    发明申请

    公开(公告)号:US20210303612A1

    公开(公告)日:2021-09-30

    申请号:US17208703

    申请日:2021-03-22

    Applicant: Spotify AB

    Abstract: Systems, devices, and methods for identifying media content using indirect qualities are provided. An example media-delivery system includes a content identification engine that applies a model associated with an indirect quality to media content items to generate indirect quality scores for the media content items, filters the media content items based on metadata associated with the media content items to generate filtered media content items, and presents at least some of the filtered media content items based on the indirect quality scores. An example media-playback device includes a search control engine that presents a search interface with a user-actuatable control for specifying a value of an indirect quality for use as a search criteria, transmits the search criteria to a media-delivery service, and receives media content items matching the search criteria from the media-delivery service, wherein the media content items are identified using a statistical model.

    PLAYLIST PREVIEW
    78.
    发明申请

    公开(公告)号:US20210294843A1

    公开(公告)日:2021-09-23

    申请号:US17218594

    申请日:2021-03-31

    Applicant: Spotify AB

    Inventor: Tristan Jehan

    Abstract: A playlist preview is generated to provide a preview of media content items identified by a media playlist. The playlist preview can be created by selecting all or some of the media content items in the playlist, determining preview portions of the selected media content items, and arranging the preview portions with or without a transition effect. The playlist preview can be easily shared with other users through, for example, social media sites.

    CUEPOINT DETERMINATION SYSTEM
    79.
    发明申请

    公开(公告)号:US20210103422A1

    公开(公告)日:2021-04-08

    申请号:US16595404

    申请日:2019-10-07

    Applicant: SPOTIFY AB

    Abstract: A cuepoint determination system utilizes a convolutional neural network (CNN) to determine cuepoint placements within media content items to facilitate smooth transitions between them. For example, audio content from a media content item is normalized to a plurality of beats, the beats are partitioned into temporal sections, and acoustic feature groups are extracted from each beat in one or more of the temporal sections. The acoustic feature groups include at least downbeat confidence, position in bar, peak loudness, timbre and pitch. The extracted acoustic feature groups for each beat are provided as input to the CNN on a per temporal section basis to predict whether a beat immediately following the temporal section within the media content item is a candidate for cuepoint placement. A cuepoint placement is then determined from among the candidate cuepoint placements predicted by the CNN.

    Lyrics analyzer
    80.
    发明授权

    公开(公告)号:US10957290B2

    公开(公告)日:2021-03-23

    申请号:US16111596

    申请日:2018-08-24

    Applicant: Spotify AB

    Abstract: A lyrics analyzer generates tags and explicitness indicators for a set of tracks. These tags may indicate the genre, mood, occasion, or other features of each track. The lyrics analyzer does so by generating an n-dimensional vector relating to a set of topics extracted from the lyrics and then using those vectors to train a classifier to determine whether each tag applies to each track. The lyrics analyzer may also generate playlists for a user based on a single seed song by comparing the lyrics vector or the lyrics and acoustics vectors of the seed song to other songs to select songs that closely match the seed song. Such a playlist generator may also take into account the tags generated for each track.

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