Abstract: Aspects of the subject disclosure may include, for example, a process that determines information from a first media stream including a number of keywords associated with viewing habits of a user. A second media stream of a media program is scanned for one of a word or phrase corresponding to a keyword of the number of keywords. A second keyword is determined based on the one of the word or phrase, and additional information associated with the second keyword is identified. Results associated with the additional information are provided to a multimedia device. Other embodiments are disclosed.

Abstract: Devices, systems, methods, media, and programs for detecting an emotional state change in an audio signal are provided. A number of segments of the audio signal are analyzed based on separate lexical and acoustic evaluations, and, for each segment, an emotional state and a confidence score of the emotional state are determined. A current emotional state of the audio signal is tracked for each of the number of segments. For a particular segment, it is determined whether the current emotional state of the audio signal changes to another emotional state based on the emotional state and a comparison of the confidence score of the particular segment to a predetermined threshold.

Abstract: Aspects of the subject disclosure may include, for example, a service platform that receives a chat request from a client device associated with a user. A chat database of previous chat sessions associated with other users is searched based on the chat request to identify a previous chat session corresponding to the chat request. Chat data corresponding to the previous chat session is retrieved from the chat database and sent to the client device. Other embodiments are disclosed.

Abstract: Network connectivity is used to share relevant visual and other sensory information between vehicles, as well as delivering relevant information provided by network services to create an enhanced view of the vehicle's surroundings. The enhanced view is presented to the occupants of the vehicle to provide an improved driving experience and/or enable the occupants to take proper action (e.g., avoid obstacles, identify traffic delays, etc.). In one example, the enhanced view comprises information that is not visible to the naked eye and/or cannot be currently sensed by the vehicle's sensors (e.g., due to a partial or blocked view, low visibility conditions, hardware capabilities of the vehicle's sensors, position of the vehicle's sensors, etc.).

Abstract: Devices, systems, methods, media, and programs for detecting an emotional state change in an audio signal are provided. A number of segments of the audio signal are analyzed based on separate lexical and acoustic evaluations, and, for each segment, an emotional state and a confidence score of the emotional state are determined. A current emotional state of the audio signal is tracked for each of the number of segments. For a particular segment, it is determined whether the current emotional state of the audio signal changes to another emotional state based on the emotional state and a comparison of the confidence score of the particular segment to a predetermined threshold.

Abstract: Network connectivity is used to share relevant visual and other sensory information between vehicles, as well as delivering relevant information provided by network services to create an enhanced view of the vehicle's surroundings. The enhanced view is presented to the occupants of the vehicle to provide an improved driving experience and/or enable the occupants to take proper action (e.g., avoid obstacles, identify traffic delays, etc.). In one example, the enhanced view comprises information that is not visible to the naked eye and/or cannot be currently sensed by the vehicle's sensors (e.g., due to a partial or blocked view, low visibility conditions, hardware capabilities of the vehicle's sensors, position of the vehicle's sensors, etc.).

Abstract: Devices, systems, methods, media, and programs for detecting an emotional state change in an audio signal are provided. A plurality of segments of the audio signal is received, with the plurality of segments being sequential. Each segment of the plurality of segments is analyzed, and, for each segment, an emotional state and a confidence score of the emotional state are determined. The emotional state and the confidence score of each segment are sequentially analyzed, and a current emotional state of the audio signal is tracked throughout each of the plurality of segments. For each segment, it is determined whether the current emotional state of the audio signal changes to another emotional state based on the emotional state and the confidence score of the segment.

Abstract: Disclosed is a web server that includes a headlines module for automatically generating headlines based on data retrieved from a network (e.g., World Wide Web). The web server also includes an interactive agent for generating responses to inquiries relating to the headlines based on the data.

Abstract: A system for sensor enhanced speech recognition is disclosed. The system may obtain visual content or other content associated with a user and an environment of the user. Additionally, the system may obtain, from the visual content, metadata associated with the user and the environment of the user. The system may also include determining, based on the visual content and metadata, if the user is speaking. If the user is determined to be speaking, the system may obtain audio content associated with the user and the environment. The system may then adapt, based on the visual content, audio content, and metadata, one or more acoustic models that match the user and the environment. Once the one or more acoustic models are adapted and loaded, the system may enhance a speech recognition process or other process associated with the user.

Abstract: Devices, systems, methods, media, and programs for detecting an emotional state change in an audio signal are provided. A plurality of segments of the audio signal is received, with the plurality of segments being sequential. Each segment of the plurality of segments is analyzed, and, for each segment, an emotional state and a confidence score of the emotional state are determined. The emotional state and the confidence score of each segment are sequentially analyzed, and a current emotional state of the audio signal is tracked throughout each of the plurality of segments. For each segment, it is determined whether the current emotional state of the audio signal changes to another emotional state based on the emotional state and the confidence score of the segment.

Abstract: Devices, systems, methods, media, and programs for detecting an emotional state change in an audio signal are provided. A plurality of segments of the audio signal is received, with the plurality of segments being sequential. Each segment of the plurality of segments is analyzed, and, for each segment, an emotional state and a confidence score of the emotional state are determined. The emotional state and the confidence score of each segment are sequentially analyzed, and a current emotional state of the audio signal is tracked throughout each of the plurality of segments. For each segment, it is determined whether the current emotional state of the audio signal changes to another emotional state based on the emotional state and the confidence score of the segment.

Abstract: Network connectivity is used to share relevant visual and other sensory information between vehicles, as well as delivering relevant information provided by network services to create an enhanced view of the vehicle's surroundings. The enhanced view is presented to the occupants of the vehicle to provide an improved driving experience and/or enable the occupants to take proper action (e.g., avoid obstacles, identify traffic delays, etc.). In one example, the enhanced view comprises information that is not visible to the naked eye and/or cannot be currently sensed by the vehicle's sensors (e.g., due to a partial or blocked view, low visibility conditions, hardware capabilities of the vehicle's sensors, position of the vehicle's sensors, etc.).

Abstract: Aspects of the subject disclosure may include, for example, a process that determines information from a first media stream including a number of keywords associated with viewing habits of a user. A second media stream of a media program is scanned for one of a word or phrase corresponding to a keyword of the number of keywords. A second keyword is determined based on the one of the word or phrase, and additional information associated with the second keyword is identified. Results associated with the additional information are provided to a multimedia device. Other embodiments are disclosed.

Abstract: An Internet Protocol television system includes a user profile agent, a keyword detection agent, and an information search agent. The user profile agent is in communication with a multimedia device, and generates a user profile based on information received from the multimedia device. The keyword detection agent is in communication with the user profile agent, and searches text associated with a multimedia video stream transmitted to the multimedia device for keywords associated with the user profile. The information search agent is in communication with the keyword detection agent, and connects to an information source associated with the keywords detected by the keyword detection agent, and provides additional information associated with the keywords to the multimedia device.

Abstract: Devices, systems, methods, media, and programs for detecting an emotional state change in an audio signal are provided. A plurality of segments of the audio signal is received, with the plurality of segments being sequential. Each segment of the plurality of segments is analyzed, and, for each segment, an emotional state and a confidence score of the emotional state are determined. The emotional state and the confidence score of each segment are sequentially analyzed, and a current emotional state of the audio signal is tracked throughout each of the plurality of segments. For each segment, it is determined whether the current emotional state of the audio signal changes to another emotional state based on the emotional state and the confidence score of the segment.