Patent classifications
G06F16/638
Phonetic comparison for virtual assistants
In an approach for optimizing an intelligent virtual assistant by using phonetic comparison to find a response stored in a local database, a processor receives an audio input on a computing device. A processor transcribes the audio input to text. A processor compares the text to a set of user queries and commands in a local database of the computing device using a phonetic algorithm. A processor determines whether a user query or command of the set of user queries and commands meets a pre-defined threshold of similarity. Responsive to determining that the user query or command meets the pre-defined threshold of similarity, a processor identifies an intention of a set of intentions stored in the local database corresponding to the user query or command. A processor identifies a response of a set of responses in the local database corresponding to the intention. A processor outputs the response audibly.
Image based content search and recommendations
A system, method and computer program product for accessing content based on an image. The method comprises comparing an image to a database of images, each of the images of the database being associated with at least one corresponding audio track, identifying those ones images of the database that correspond to the image, and identifying the at least one corresponding audio track that corresponds to the identified images. In one example aspect, the method also comprises presenting the audio track to a user. Corresponding metadata also can be presented. The images may be classified by, e.g., genre, musical album, concept, or the like, and, in cases where an input image is determined to belong to any such classes, audio content and/or metadata relating thereto are identified and presented to the user.
Suggested Application Download
Example techniques involve suggesting an application of a streaming audio service via an application of a media playback system. An example implementation involves a mobile device displaying, via a control application of a media playback system, a library control comprising indicators representing respective media items of a particular streaming audio service. The mobile device receives, via the library control, input data indicating a selection of an indicator representing a particular media item. The mobile device sends instructions to cause a playback device to play back the particular media item. While the playback device is playing back the particular media item, the mobile device displays, via the control application, a control representing an application of the particular streaming audio service. The mobile device receives input data indicating a selection of the control representing the application of the particular streaming audio service and causes the mobile device to download the application.
Suggested Application Download
Example techniques involve suggesting an application of a streaming audio service via an application of a media playback system. An example implementation involves a mobile device displaying, via a control application of a media playback system, a library control comprising indicators representing respective media items of a particular streaming audio service. The mobile device receives, via the library control, input data indicating a selection of an indicator representing a particular media item. The mobile device sends instructions to cause a playback device to play back the particular media item. While the playback device is playing back the particular media item, the mobile device displays, via the control application, a control representing an application of the particular streaming audio service. The mobile device receives input data indicating a selection of the control representing the application of the particular streaming audio service and causes the mobile device to download the application.
MEDIA SELECTION
Systems, device and techniques are disclosed for receiving a first taste profile of a first user based on at least a first profile criteria and receiving a second taste profile of a second user based on at least a second profile criteria. An area of interest may be determined based on the first and second taste profiles. A playlist containing one or more media items (e.g., audio, video, text, etc.) may be generated based on the determined area of interest.
Entertainment server and associated social networking services
Certain exemplary embodiments relate to entertainment systems that interact with users so as to provide for social networking and/or other services. In certain exemplary embodiments, an entertainment system is configured to provide jukebox-related and entertainment system mediated services that are accessible from within and from the outside of the location, coordinating social networking services among and between patrons within and outside of the location and also providing for advertisement opportunities. In certain exemplary embodiments, the entertainment system within a location may serve as and/or be connected to a jukebox. The entertainment system within the location may be connected to one or more client devices, one or more displays, one or more bar-top or hand-held gaming devices, etc., in certain exemplary embodiments. The jukebox-related and entertainment system mediated services may provide mechanisms for enhancing patrons' experiences, creating a sense of ownership and/or belongingness to a connected community of entertainment system users.
METHODS AND APPARATUS TO GENERATE RECOMMENDATIONS BASED ON ATTRIBUTE VECTORS
Methods and apparatus are disclosed to generate a recommendation, including an attribute vector aggregator to form a resultant attribute vector based on an input set of attribute vectors, the set of attribute vectors containing at least one of a media attribute vector, an attendee attribute vector, an artist attribute vector, an event attribute vector, or a venue attribute vector, and a recommendation generator, the recommendation generator including: a vector comparator to perform a comparison between an input attribute vector and other attribute vectors and a recommendation compiler to create one or more recommendations of at least one of media, an artist, an event, or a venue based on the comparison.
Method for sharing and searching playlists
A system that provides for the accessing and playing of media files having differing associated rights such as non-DRM media files, purchased and downloaded media files, subscription download files such as tethered downloads, and subscription streamed DRM files. The system also provides a method and user interface for sharing a media collection among computing devices in communication via a network. The system allows access and playback, from each computing device on a network, of all media files in a media collection, regardless of their associated rights.
THERAPEUTIC MUSIC AND MEDIA PROCESSING SYSTEM
Systems, methods, architectures, mechanisms and apparatus for generating an audio segment playlist configured to provoke a physiological response in a listener in accordance with a desired outcome category, comprising: selecting, from a features database, a plurality of audio segments having features associated with both listener information and the desired outcome category; and ordering within the playlist at least a portion of the selected audio segments in accordance with at least one feature progression associated with the outcome category.
Mobile device selection of preferred content
A user of a mobile device can specify particular news, weather, traffic, or other perishable content received on a particular Internet radio station or other media channel received by the mobile device. The user can customize the station so that wherever the user is currently located, they can receive on their mobile device perishable content related to a preferred geographic location or other category. In some embodiments, a user can specify that a customized station plays local news from one city at the top of the hour, traffic from another city at 10 minutes past the hour, and music or other content at other times. The user can also customize original content from the personal libraries of specified users. Thus, a user can customize not only the genre of content or select a particular local station, but can also modify the perishable content provided by the customized station.