This disclosure relates generally to data processing devices and, more particularly, to a method, a device, and/or a system of structuring audio session data with independently queryable segments for efficient determination of high value content and/or generation of recombinant content. In one embodiment, a system for analyzing use of audio files to determine high value content includes a database server storing a data container referencing a segment data comprising an audio data and a segment UID that is independently addressable with a database query. A playback manager receives a playback request and streams the audio data to a device of a user. An interest marker engine receives an interest notification including a first audio time point and a second audio time point and generates an interest marker. An analytics server then generates an insight data from the interest marker and stores the insight data in association with the segment data.

This disclosure relates generally to data processing devices and, more particularly, to a method, a device, and/or a system of structuring audio session data with independently queryable segments for efficient determination of high value content and/or generation of recombinant content. In one embodiment, a system for analyzing use of audio files to determine high value content includes a database server storing a data container referencing a segment data comprising an audio data and a segment UID that is independently addressable with a database query. A playback manager receives a playback request and streams the audio data to a device of a user. An interest marker engine receives an interest notification including a first audio time point and a second audio time point and generates an interest marker. An analytics server then generates an insight data from the interest marker and stores the insight data in association with the segment data.

The application aids users by providing supplemental audio content. For example, the application determines a subject of content provided to user equipment during a first time period of the content. The application retrieves a profile associated with the user equipment and retrieves supplemental audio related to the profile and related to the subject of the content. The application detects a supplementation point in the content corresponding with audio content similar to a supplementation signature and transmits the supplemental audio to the user equipment for output at the supplementation point.

The application aids users by providing supplemental audio content. For example, the application determines a subject of content provided to user equipment during a first time period of the content. The application retrieves a profile associated with the user equipment and retrieves supplemental audio related to the profile and related to the subject of the content. The application detects a supplementation point in the content corresponding with audio content similar to a supplementation signature and transmits the supplemental audio to the user equipment for output at the supplementation point.

Introduced here are approaches to authenticating the identity of speakers based on the “liveness” of the input. To prevent spoofing, an authentication platform may establish the likelihood that a voice sample represents a recording of word(s) uttered by a speaker whose identity is to be authenticated and then, based on the likelihood, determine whether to authenticate the speaker.

A method and related hardware for improved search engine results delivered to multiple devices associated with a same user is provided. The multiple devices may each have a user profile associated therewith and the search results delivered may be based on the user profile.

A method and related hardware for improved search engine results delivered to multiple devices associated with a same user is provided. The multiple devices may each have a user profile associated therewith and the search results delivered may be based on the user profile.

Systems and techniques for adaptive conversation support bot are described herein. An audio stream may be obtained including a conversation of a first user. An event may be identified in the conversation using the audio stream. A first keyword phrase may be extracted from the audio stream in response to identification of the event. The audio stream may be searched for a second keyword phrase based on the first keyword phrase. An action may be performed based on the first keyword phrase and the second keyword phrase. Results of the action may be out via a context appropriate output channel. The context appropriate output channel may be determined based on a context of the conversation and a privacy setting of the first user.

Systems and techniques for adaptive conversation support bot are described herein. An audio stream may be obtained including a conversation of a first user. An event may be identified in the conversation using the audio stream. A first keyword phrase may be extracted from the audio stream in response to identification of the event. The audio stream may be searched for a second keyword phrase based on the first keyword phrase. An action may be performed based on the first keyword phrase and the second keyword phrase. Results of the action may be out via a context appropriate output channel. The context appropriate output channel may be determined based on a context of the conversation and a privacy setting of the first user.

One variation of a method for autonomously training an animal includes: loading an autonomous training protocol for the animal onto a training apparatus configured to dispense units of a primary reinforcer responsive to behaviors performed by the animal; during an autonomous training session for the animal, accessing a video feed of a working field near the training apparatus, detecting the animal in the video feed, and executing the first autonomous training protocol; calculating a training score for the autonomous training session based on behaviors performed by the animal during the autonomous training session; selecting a manual training protocol, from a set of manual training protocols, based on the training score; generating a prompt to execute the first manual training protocol with the animal during a first manual training session; and transmitting the prompt to a user associated with the animal.