Abstract: Described are apparatus, systems, and methods that are operable to periodically detected and record a voice of a user associated with or wearing a wearable device. As described, the wearable device apparatus is configured to transition various components of the device between a low power state and an active state to determine if audio data that includes voice is detected. If voice is not detected, the components are transitioned back to the low power state, thereby conserving power of the wearable device. If voice is detected, the audio data that includes that voice is collected for further processing.

Abstract: Described are systems and methods that detect a call connection of a call (e.g., telephone call, social media call, etc.) between a first device of a user, such as a cellular phone, and a device of another person with which the user is to interact via the call. Upon detection of the call connection, another device of the user (e.g., wearable) records audio of the environment to detect speech output by the user during the call. The speech is then processed to determine sentiment(s) of the user during the call. The determined sentiment(s) of the user may then be presented to the user to aid the user in understanding how the speech of the user is perceived by others.

Abstract: Described are apparatus, systems, and methods that are operable to periodically detected and record a voice of a user associated with or wearing a wearable device. As described, the wearable device apparatus is configured to transition various components of the device between a low power state and an active state to determine if audio data that includes voice is detected. If voice is not detected, the components are transitioned back to the low power state, thereby conserving power of the wearable device. If voice is detected, the audio data that includes that voice is collected for further processing.

Abstract: Disclosed are systems and methods for determining sentiment data representative of an emotional state of a user during an interaction with one or more non-users. The disclosed implementations may further determine, for frequent interactions between the user and a non-user, the identity of the non-user and provide information to the user relating to the sentiment of the user when interacting with the non-user.

Abstract: A device with a microphone acquires audio data of a user's speech. That speech comprises utterances, that together comprise a session. The audio data is processed to determine sentiment data indicative of perceived emotional content of the speech as conveyed by individual utterances of the user. That information is then used to determine the emotional content of the session. For example, the information may include several words describing the overall and outlying emotions of the session. Numeric metrics may also be determined, such as activation and valence. A user interface may present the words and metrics to the user. The user may use this information to assess their state of mind, facilitate interactions with others, and so forth.