Systems, methods, and computer-readable media for determining at least one valid mood for a collection of media content items of a media library are provided.

A media guidance application may monitor a conversation among users, and identify keywords in the conversation, without the use of wakewords. The keywords are used to search for media content that is relevant to the on-going conversation. Accordingly, the media guidance application presents relevant content to the users, during the conversation, to more actively engage the users. A conversation monitoring window may be used to present conversation information as well as relevant content. A listening mode may be used to manage when the media guidance application processes speech from a conversation. The media guidance application may access user profiles for keywords, select content types, select content sources, and determine relevancy of media content, to provide content in context of a conversation.

A media guidance application may monitor a conversation among users, and identify keywords in the conversation, without the use of wakewords. The keywords are used to search for media content that is relevant to the on-going conversation. Accordingly, the media guidance application presents relevant content to the users, during the conversation, to more actively engage the users. A conversation monitoring window may be used to present conversation information as well as relevant content. A listening mode may be used to manage when the media guidance application processes speech from a conversation. The media guidance application may access user profiles for keywords, select content types, select content sources, and determine relevancy of media content, to provide content in context of a conversation.

The field of the invention relates to methods, systems and computer program products for navigating digital media content, in particular for navigating digital media content using an interface abstracted from that digital media content instead of, or as a supplement to, traditional user interface controls. There is provided a method for presenting a user interface to an end user to facilitate the searching, browsing and/or navigation of digital media content, the method comprising the steps of: (a) analysing the digital media content to create “hooks” related to the digital media content, or retrieving “hooks” in the digital media content, and (b) replacing or augmenting a graphical or textual representation of the digital media content with the “hooks.”

The field of the invention relates to methods, systems and computer program products for navigating digital media content, in particular for navigating digital media content using an interface abstracted from that digital media content instead of, or as a supplement to, traditional user interface controls. There is provided a method for presenting a user interface to an end user to facilitate the searching, browsing and/or navigation of digital media content, the method comprising the steps of: (a) analysing the digital media content to create “hooks” related to the digital media content, or retrieving “hooks” in the digital media content, and (b) replacing or augmenting a graphical or textual representation of the digital media content with the “hooks.”

The present disclosure describes techniques for identifying music attributes. The described techniques comprises receiving audio data of a piece of music; determining at least one attribute of the piece of music based on the audio data of the piece of music using a model; the model comprising a convolutional neural network and a transformer; the model being pre-trained using training data, wherein the training data comprise labelled data associated with a first plurality of music samples and unlabelled data associated with a second plurality of music samples, the labelled data comprise audio data of the first plurality of music samples and label information indicative of attributes of the first plurality of music samples, and the unlabelled data comprise audio data of the second plurality of music samples.

The present disclosure describes techniques for identifying music attributes. The described techniques comprises receiving audio data of a piece of music; determining at least one attribute of the piece of music based on the audio data of the piece of music using a model; the model comprising a convolutional neural network and a transformer; the model being pre-trained using training data, wherein the training data comprise labelled data associated with a first plurality of music samples and unlabelled data associated with a second plurality of music samples, the labelled data comprise audio data of the first plurality of music samples and label information indicative of attributes of the first plurality of music samples, and the unlabelled data comprise audio data of the second plurality of music samples.

In one embodiment, a computer-implemented method is disclosed. The method includes receiving a first content item, transcribing audio included in the first content item to obtain text associated with the audio, determining a plurality of keywords included in the text, classifying, based on the plurality of keywords, the text as one or more nodes in a data structure, and ranking, based on a plurality of factors, the one or more nodes relative to one or more other nodes associated with a second content item.

Example methods and systems for inserting information into playing content are described. In some example embodiments, the methods and systems may identify a break in content playing via a playback device, select an information segment representative of information received by the playback device to present during the identified break, and insert the information segment into the content playing via the playback device upon an occurrence of the identified break.

Example methods and systems for inserting information into playing content are described. In some example embodiments, the methods and systems may identify a break in content playing via a playback device, select an information segment representative of information received by the playback device to present during the identified break, and insert the information segment into the content playing via the playback device upon an occurrence of the identified break.