One disclosed method involves determining, by at least one computing system and based at least in part on input provided to a meeting application, at least a first topic of interest for a first user accessing the meeting application via a first client device, in response to determining the first topic of interest, querying, by the at least one computing system, at least one data source, external to the meeting application, for information corresponding to the first topic of interest, and causing, by the at least one computing system, the first client device to display a representation of the information.

Certain exemplary embodiments relate to entertainment systems and, more particularly, to systems that incorporate digital downloading jukebox features and improved user interfaces. For instance, a smart search may be provided, e.g., where search results vary based on the popularity of songs within the venue, in dependence on songs being promoted, etc. As another example, a tile-based approach to organizing groupings of songs is provided. Groupings may involve self-populating collections of songs that combine centrally-promoted songs, songs in a given genre that are popular across an audiovisual distribution network, and songs that are locally popular and match up with the given genre (e.g., because of shared attributes such as same or similar genre, artist, etc.). Different tile visual presentations also are contemplated, as are different physical jukebox designs. In certain example embodiments, a sealed core unit with the “brains” of the jukebox is insertable into a docking station.

Certain exemplary embodiments relate to entertainment systems and, more particularly, to systems that incorporate digital downloading jukebox features and improved user interfaces. For instance, a smart search may be provided, e.g., where search results vary based on the popularity of songs within the venue, in dependence on songs being promoted, etc. As another example, a tile-based approach to organizing groupings of songs is provided. Groupings may involve self-populating collections of songs that combine centrally-promoted songs, songs in a given genre that are popular across an audiovisual distribution network, and songs that are locally popular and match up with the given genre (e.g., because of shared attributes such as same or similar genre, artist, etc.). Different tile visual presentations also are contemplated, as are different physical jukebox designs. In certain example embodiments, a sealed core unit with the “brains” of the jukebox is insertable into a docking station.

Methods, systems and computer program products are provided for determining acoustic feature vectors of query and target items in a first vector space, and mapping the acoustic feature vectors to a second vector space having a lower dimension. The distribution of vectors in the second vector space can then be used to identify items from the same songs, and/or items that are complementary. A mapping function is trained using a machine learning algorithm, such that complementary audio items are closer in the second vector space than the first, according to a given distance metric.

An operation method of a dialog agent includes obtaining an utterance history including at least one of an outgoing utterance to be transmitted to request a service or at least one of an incoming utterance to be received to request the service, updating a requirement specification including items requested for the service based on the utterance history, generating utterance information to be used to request the service based on the updated requirement specification, and outputting the generated utterance information.

Examples described herein relate to facilitating media item access via a media item database. For instance, a playlist may include audio tracks of a first streaming service (e.g., as uniform resource identifiers linking to streamable audio tracks). When a subscription to the first streaming service is not active, the playlist may be unplayable by a media playback system including a playback device. To play the playlist, a computing system may convert the playlist to audio tracks of a second streaming service and then send the converted playlist back to the media playback system for playback.

Examples described herein relate to facilitating media item access via a media item database. For instance, a playlist may include audio tracks of a first streaming service (e.g., as uniform resource identifiers linking to streamable audio tracks). When a subscription to the first streaming service is not active, the playlist may be unplayable by a media playback system including a playback device. To play the playlist, a computing system may convert the playlist to audio tracks of a second streaming service and then send the converted playlist back to the media playback system for playback.

Systems and methods are described for modifying a phonetic search index based on a use frequency associated with phonetic representations of text terms included in metadata of a media item. A first phonetic representation of a text term of the metadata, pronounced as a word, may be generated. A second phonetic representation of the text term may be generated by concatenating a phonetic representation of each letter in the text term. A database may be queried to determine use frequencies of the first and second phonetic representations, one of which may be selected based on a comparison of the use frequencies. A phonetic search index may be modified by including an entry for the selected phonetic representation. A voice query related to the media item may be received, and a reply to the voice query may be generated for output by performing a lookup in the modified phonetic search index.

Systems and methods are described for modifying a phonetic search index based on a use frequency associated with phonetic representations of text terms included in metadata of a media item. A first phonetic representation of a text term of the metadata, pronounced as a word, may be generated. A second phonetic representation of the text term may be generated by concatenating a phonetic representation of each letter in the text term. A database may be queried to determine use frequencies of the first and second phonetic representations, one of which may be selected based on a comparison of the use frequencies. A phonetic search index may be modified by including an entry for the selected phonetic representation. A voice query related to the media item may be received, and a reply to the voice query may be generated for output by performing a lookup in the modified phonetic search index.

An audio matching technique generates audio fingerprints from a captured audio signal. Coarse and Fine fingerprints are generated from the captured audio. The coarse fingerprint is used to match with a set of coarse fingerprints stored in a database to identify a subset of possibly matching database entries. The fine fingerprint is then used to perform a detailed comparison with fine fingerprints associated with the subset of possibly matching database entries in order to find a match for the captured audio signal.