A method is provided that includes receiving, from a voice input apparatus associated with a first target device among a plurality of target devices, instruction information that includes first voice information indicating an operation instruction for any target device, and recognizing the operation instruction from the first voice information included in the received instruction information. The method also includes specifying the first target device by referencing a first database, and determining whether second voice information indicating an operation object for the operation instruction is included in the instruction information. The method further includes transmitting, (i) when the second voice information is not included in the instruction information, a first control command for executing the recognized operation instruction to the first target device, and (ii) when the second voice information is included in the instruction information, the first control command to a second target device associated with the operation object.

A method is provided that includes receiving, from a voice input apparatus associated with a first target device among a plurality of target devices, instruction information that includes first voice information indicating an operation instruction for any target device, and recognizing the operation instruction from the first voice information included in the received instruction information. The method also includes specifying the first target device by referencing a first database, and determining whether second voice information indicating an operation object for the operation instruction is included in the instruction information. The method further includes transmitting, (i) when the second voice information is not included in the instruction information, a first control command for executing the recognized operation instruction to the first target device, and (ii) when the second voice information is included in the instruction information, the first control command to a second target device associated with the operation object.

Systems and methods include identifying sets of communications using AB testing based on a difference in metadata values between the sets for a first type of metadata, determining at least one similarity between communications in a first set based on metadata values of a second type of metadata, determining at least one similarity between the communications in the second set based on metadata values of the second type of metadata or a third type of metadata, comparing the at least one similarity from the first set to the at least one similarity of the second set to identify differences in metadata values or types of metadata, and determining, based on the differences, a suggested action for an agent for a future communication with respect to at least one of a desired script, a target phrase, or a desired acoustic characteristic.

Systems and methods include identifying sets of communications using AB testing based on a difference in metadata values between the sets for a first type of metadata, determining at least one similarity between communications in a first set based on metadata values of a second type of metadata, determining at least one similarity between the communications in the second set based on metadata values of the second type of metadata or a third type of metadata, comparing the at least one similarity from the first set to the at least one similarity of the second set to identify differences in metadata values or types of metadata, and determining, based on the differences, a suggested action for an agent for a future communication with respect to at least one of a desired script, a target phrase, or a desired acoustic characteristic.

Described herein are systems, methods, and apparatus for determining audio context between an audio source and an audio sink and selecting signal profiles based at least in part on that audio context. The signal profiles may include noise cancellation which is configured to facilitate operation within the audio context. Audio context may include user-to-user and user-to-device communications.

Described herein are systems, methods, and apparatus for determining audio context between an audio source and an audio sink and selecting signal profiles based at least in part on that audio context. The signal profiles may include noise cancellation which is configured to facilitate operation within the audio context. Audio context may include user-to-user and user-to-device communications.

A speech assessment device and method for a multisyllabic-word learning machine, and a method for visualizing continuous audio are provided. By performing the step of starting the assessment mode, the step of selecting words to be assessed, the step of choosing to play or record, the step of recording, the step of visualization (including the step of picking out fundamental frequency, the step of defining analysis point, the step of transforming polygonal lines, and the step of simplifying the polygonal lines), the step of repeating, and the step of assessment, the speech assessment device and method for a multisyllabic-word learning machine are capable of providing assistance in oral language learning, and capable of rehabilitating patients with hearing impairment through visual aids.

When a microphone array apparatus sound-picks up voice in a prescribed sound volume or higher, which is output from a sound source, and sends voice data on the voice to voice processing apparatus, a sound source direction detection unit causes sound source marks, each of which indicates a directivity direction, to be displayed on a display, and urges a user to make a selection among the sound source marks and to input camera information. A voice processing apparatus transmits the camera information that is input, and the directivity direction, to the microphone array apparatus. The microphone array apparatus stores the camera information and the directivity direction, as a preset information table, in a storage unit. Accordingly, where a positional relationship between the camera and the microphone array is unclear, directionality is formed in a determined image capture position, and voice in the predetermined image capture position is output clearly.

An information processing device includes a processor, the processor being configured to: acquire sound data collected in a predetermined facility; extract voice data generated by speech of a person in the predetermined facility from the sound data; and evaluate a status of customers in the predetermined facility based on the voice data.

An information processing device includes a processor, the processor being configured to: acquire sound data collected in a predetermined facility; extract voice data generated by speech of a person in the predetermined facility from the sound data; and evaluate a status of customers in the predetermined facility based on the voice data.