Abstract: Apparatus, systems and methods for augmenting a group of media content items by forming a graph including a plurality of nodes and a plurality of edges, where each node represents a segue option at a position in the graph and each edge represents a connection between a first node in the graph at a first position and a second node in the graph at a second position and finding a path in the graph.

Abstract: A system for generating and distributing a digital mixtape. In one example, the system can receive a user command to generate a digital mixtape including a user-defined compilation of music. The user command identifies a recipient of the digital mixtape and identifies one or more media content items to be included in the music compilation for the recipient. The digital mixtape can also include audio recordings from the user to be added to the digital mixtape.

Abstract: A text-to-speech engine creates audio output that includes synthesized speech and one or more media content item snippets. The input text is obtained and partitioned into text sets. A track having lyrics that match a part of one of the text sets is identified. The location of the track's audio that contains the lyric is extracted based on forced alignment data. The extracted audio is combined with synthesized speech corresponding to the remainder of the input text to form audio output.

Abstract: A text-to-speech engine creates audio output that includes synthesized speech and one or more media content item snippets. The input text is obtained and partitioned into text sets. A track having lyrics that match a part of one of the text sets is identified. The location of the track's audio that contains the lyric is extracted based on forced alignment data. The extracted audio is combined with synthesized speech corresponding to the remainder of the input text to form audio output.

Abstract: Methods, systems, and related products that provide enhanced personalized media content experiences. Past media content consumption is inferred based on requests for media content selection associated with a time or period of time in the past. The requests are fulfilled by selecting one or more media content items from the inferred media content consumption.

Abstract: Methods, systems, and related products that provide emotion-sensitive responses to user's commands and other utterances received at an utterance-based user interface. Acknowledgements of user's utterances are adapted to the user and/or the user device, and emotions detected in the user's utterance that have been mapped from one or more emotion features extracted from the utterance. In some examples, extraction of a user's changing emotion during a sequence of interactions is used to generate a response to a user's uttered command. In some examples, emotion processing and command processing of natural utterances are performed asynchronously.

Abstract: Methods, systems, and related products that provide emotion-sensitive responses to user's commands and other utterances received at an utterance-based user interface. Acknowledgements of user's utterances are adapted to the user and/or the user device, and emotions detected in the user's utterance that have been mapped from one or more emotion features extracted from the utterance. In some examples, extraction of a user's changing emotion during a sequence of interactions is used to generate a response to a user's uttered command. In some examples, emotion processing and command processing of natural utterances are performed asynchronously.

Abstract: A text-to-speech engine creates audio output that includes synthesized speech and one or more media content item snippets. The input text is obtained and partitioned into text sets. A track having lyrics that match a part of one of the text sets is identified. The location of the track's audio that contains the lyric is extracted based on forced alignment data. The extracted audio is combined with synthesized speech corresponding to the remainder of the input text to form audio output.

Abstract: A text-to-speech engine creates audio output that includes synthesized speech and one or more media content item snippets. The input text is obtained and partitioned into text sets. A track having lyrics that match a part of one of the text sets is identified. The location of the track's audio that contains the lyric is extracted based on forced alignment data. The extracted audio is combined with synthesized speech corresponding to the remainder of the input text to form audio output.

Abstract: Methods, systems, and related products that provide emotion-sensitive responses to user's commands and other utterances received at an utterance-based user interface. Acknowledgements of user's utterances are adapted to the user and/or the user device, and emotions detected in the user's utterance that have been mapped from one or more emotion features extracted from the utterance. In some examples, extraction of a user's changing emotion during a sequence of interactions is used to generate a response to a user's uttered command. In some examples, emotion processing and command processing of natural utterances are performed asynchronously.

Abstract: Methods, systems, and related products that provide enhanced personalized media content experiences. Past media content consumption is inferred based on requests for media content selection associated with a time or period of time in the past. The requests are fulfilled by selecting one or more media content items from the inferred media content consumption.

Abstract: A voice assistant has a contextually-adjusted audio output. The audio output can be adjusted, for example, based on media content characteristics.

Abstract: Methods, systems, and related products that provide enhanced personalized media content experiences. Past media content consumption is inferred based on requests for media content selection associated with a time or period of time in the past. The requests are fulfilled by selecting one or more media content items from the inferred media content consumption.

Abstract: A system for generating and distributing a digital mixtape. In one example, the system can receive a user command to generate a digital mixtape including a user-defined compilation of music. The user command identifies a recipient of the digital mixtape and identifies one or more media content items to be included in the music compilation for the recipient. The digital mixtape can also include audio recordings from the user to be added to the digital mixtape.

Abstract: Methods, systems, and related products that provide enhanced personalized media content experiences. Past media content consumption is inferred based on requests for media content selection associated with a time or period of time in the past. The requests are fulfilled by selecting one or more media content items from the inferred media content consumption.

Abstract: Methods, systems, and related products that provide emotion-sensitive responses to user's commands and other utterances received at an utterance-based user interface. Acknowledgements of user's utterances are adapted to the user and/or the user device, and emotions detected in the user's utterance that have been mapped from one or more emotion features extracted from the utterance. In some examples, extraction of a user's changing emotion during a sequence of interactions is used to generate a response to a user's uttered command. In some examples, emotion processing and command processing of natural utterances are performed asynchronously.

Abstract: A text-to-speech engine creates audio output that includes synthesized speech and one or more media content item snippets. The input text is obtained and partitioned into text sets. A track having lyrics that match a part of one of the text sets is identified. The location of the track's audio that contains the lyric is extracted based on forced alignment data. The extracted audio is combined with synthesized speech corresponding to the remainder of the input text to form audio output.

Abstract: Apparatus, systems and methods for augmenting a group of media content items by forming a graph including a plurality of nodes and a plurality of edges, where each node represents a segue option at a position in the graph and each edge represents a connection between a first node in the graph at a first position and a second node in the graph at a second position and finding a path in the graph.

Abstract: A media content steering solution is provided to identify a user query to steer playback of media content that is currently playing or has been played. The user steering query can include a voice request for playing media content that is relatively different from the media content being currently played or having been played. The media content steering solution analyzes the utterance of the user query and uses it to identify such different content that satisfies the user intent contained in the user query.

Abstract: Methods, systems, and related products that provide emotion-sensitive responses to user's commands and other utterances received at an utterance-based user interface. Acknowledgements of user's utterances are adapted to the user and/or the user device, and emotions detected in the user's utterance that have been mapped from one or more emotion features extracted from the utterance. In some examples, extraction of a user's changing emotion during a sequence of interactions is used to generate a response to a user's uttered command. In some examples, emotion processing and command processing of natural utterances are performed asynchronously.