Abstract: An information processing device includes a control unit configured to determine whether to include a regenerative brake in specifications of a proposed vehicle based on regenerative brake operation data acquired while a first vehicle including the regenerative brake is traveling in a predetermined area. The proposed vehicle is a vehicle proposed as a vehicle for a customer to drive in the predetermined area.

Abstract: A sound data processing method of a sound data processing device, the sound data processing device including a processing unit configured to acquire sound data of a target by input and to process the sound data, the sound data processing method including: a step of generating, by using acquired normal sound data of the target, simulated abnormal sound data that becomes a simulated abnormal sound of the target; and a step of performing machine learning by using the acquired normal sound data and the generated simulated abnormal sound data as learning sound data, and generating a learning model for determining an abnormal sound of the sound data of the target to perform abnormal sound detection.

Abstract: A sound data processing method includes acquiring sound data of a target by input. The sound data processing method further includes: generating similar sound data that becomes a similar sound similar to the sound data of the target, based on the sound data of the target; and performing machine learning by using the acquired sound data of the target and the generated similar sound data as learning sound data, and generating a learning model for performing classification determination related to the sound data of the target.

Abstract: An abnormality predicting system includes a processor and a memory having instructions. The instructions, when executed by the at least one processor, cause the at least one processor to execute operations including: inputting processing target data acquired from a target device; storing information related to an abnormality prediction of the processing target data; calculating an abnormality degree of the processing target data; executing processing related to the abnormality prediction including a failure occurrence prediction using a latest abnormality degree transition and a past abnormality degree transition of the processing target data; and generating a display screen for displaying a processing result including an abnormality degree transition and a result of the failure occurrence prediction.

Abstract: A recording device records a video and an imaging time, and a voice. Based on the voice, a sound parameter calculator calculates a sound parameter for specifying magnitude of the voice in a monitoring area at the imaging time for each of pixels and for each of certain times. A sound parameter storage unit stores the sound parameter. A sound parameter display controller superimposes a voice heat map on a captured image of the monitoring area and displays the superimposed image on a monitor. At this time, the sound parameter display controller displays the voice heat map based on a cumulative time value of magnitude of the voice, according to designation of a time range.

Abstract: A measurement terminal includes: a storage that stores, for each of one or more inspection objects, setting information including a parameter related to a feature of an inspection and an abnormality; a processor; and a memory having instructions that, when executed by the processor, cause the processor to perform operations. The operations include: acquiring audio data of sound from an inspection object; deriving, based on the setting information of a corresponding one of the one or more inspection objects, a required time for acquiring the audio data of sound from the inspection object to be used for determining a presence or absence of the abnormality in the inspection object; and determining the presence or absence of the abnormality in the inspection object based on the audio data of sound from the inspection object for the derived required time.

Abstract: A display device includes a processor, a memory, and a monitor. The processor is configured to display a signal waveform of voice data on the monitor and then receive a designation operation of a designated section designated by a user on the voice data, determine one or more target sections in the designated section, generate a screen in which a frame line indicating each of the one or more determined target sections is superimposed on the signal waveform, and output the screen to the monitor.

Abstract: A method of determining presence state of an organism having cell wall includes: preparing a liquid sample by immersing a measurement sample in water solvent, or preparing a measurement sample that is water solvent as a liquid sample; and detecting presence state of one or more sRNA species in the liquid sample, wherein presence state of an organism having cell wall is determined based on the presence state of the one or more sRNA species. A method of identifying an organism having cell wall includes: preparing a liquid sample by immersing a measurement sample in water solvent, or preparing a measurement sample that is water solvent as a liquid sample; and detecting presence state of one or more sRNA species in the liquid sample, wherein an organism having cell wall present in the measurement sample is identified based on the presence state of the one or more sRNA species.

Abstract: An utterance evaluation method evaluates an utterance of a speaker based on a plurality of evaluation items. The utterance evaluation method is performed by a terminal device. The utterance evaluation method includes acquiring utterance voice data of the speaker and a subjective evaluation result provided by a listener, learning a weighting factor corresponding to each of the plurality of evaluation items based on the subjective evaluation result so as to calculate a new weighting factor, and evaluating each of the plurality of evaluation items based on the utterance voice data and the calculated new weighting factor and outputting a comprehensive evaluation result of the utterance of the speaker.

Abstract: A sound data processing method includes acquiring sound data of a target by input. The sound data processing method further includes: generating similar sound data that becomes a similar sound similar to the sound data of the target, based on the sound data of the target; and performing machine learning by using the acquired sound data of the target and the generated similar sound data as learning sound data, and generating a learning model for performing classification determination related to the sound data of the target.

Abstract: A measurement terminal includes: a storage that stores, for each of one or more inspection objects, setting information including a parameter related to a feature of an inspection and an abnormality; a processor; and a memory having instructions that, when executed by the processor, cause the processor to perform operations. The operations include: acquiring audio data of sound from an inspection object; deriving, based on the setting information of a corresponding one of the one or more inspection objects, a required time for acquiring the audio data of sound from the inspection object to be used for determining a presence or absence of the abnormality in the inspection object; and determining the presence or absence of the abnormality in the inspection object based on the audio data of sound from the inspection object for the derived required time.

Abstract: An abnormality predicting system includes a processor and a memory having instructions. The instructions, when executed by the at least one processor, cause the at least one processor to execute operations including: inputting processing target data acquired from a target device; storing information related to an abnormality prediction of the processing target data; calculating an abnormality degree of the processing target data; executing processing related to the abnormality prediction including a failure occurrence prediction using a latest abnormality degree transition and a past abnormality degree transition of the processing target data; and generating a display screen for displaying a processing result including an abnormality degree transition and a result of the failure occurrence prediction.

Abstract: A hammering test terminal is mounted by a user gripping a hammer and is communicably connected to an external device. The hammering test terminal includes a sound collection unit, a measuring unit that acquires position information indicating a current position of the hammering test terminal, a processor that generates hammering test data in which hammering signal data collected by the sound collection unit when the hammer is striking an object to be tested is associated with the position information, and a communication unit that transmits the generated hammering test data to the external device.

Abstract: A recording device records a video and an imaging time, and a voice. Based on the voice, a sound parameter calculator calculates a sound parameter for specifying magnitude of the voice in a monitoring area at the imaging time for each of pixels and for each of certain times. A sound parameter storage unit stores the sound parameter. A sound parameter display controller superimposes a voice heat map on a captured image of the monitoring area and displays the superimposed image on a monitor. At this time, the sound parameter display controller displays the voice heat map based on a cumulative time value of magnitude of the voice, according to designation of a time range.

Abstract: An audio privacy processing device includes a microphone array device that acquires audio from a person in a designated audio pick-up area, and a signal processor that receives the acquired audio over a network and determines when an audio position of the person is within a privacy protection area in the designated audio pick-up area. The audio privacy processing device also includes an audio analyzer that analyzes speech audio of the person in the privacy protection area and determines an emotion of the person based on the analyzed speech audio by accessing a privacy protection sound database that includes emotion value tables, and an output controller that outputs a designated substitute sound and designated frequency from a speaker in place of the speech audio of the person while the person is in the privacy protection area.

Abstract: An audio processing device includes an acquisition unit that acquires audio that is picked up by a sound pick-up unit, a detector that detects an audio position of the audio, a determiner that determines whether or not the audio is a speech audio when the audio position is within a privacy protection area, an analyzer that analyzes the speech audio to acquire an emotion value, a converter that converts the speech audio into a substitute sound corresponding to the emotion value, and an output controller that causes an audio output that outputs the audio to output the substitute sound.

Abstract: A recording device records a video and an imaging time, and a voice. Based on the voice, a sound parameter calculator calculates a sound parameter for specifying magnitude of the voice in a monitoring area at the imaging time for each of pixels and for each of certain times. A sound parameter storage unit stores the sound parameter. A sound parameter display controller superimposes a voice heat map on a captured image of the monitoring area and displays the superimposed image on a monitor. At this time, the sound parameter display controller displays the voice heat map based on a cumulative time value of magnitude of the voice, according to designation of a time range.

Abstract: A service monitoring system includes a voice collector that collects a voice of an employee in a predetermined voice collection region, a storage unit that stores service event data including determination conditions for each predetermined service event, terminal operation history data indicating an operation history of an employee on a predetermined business terminal and voice data of the employee in correlation with each other, a detector that detects the service event of the employee based on the service event data and the terminal operation history data, a calculator that calculates a service speech evaluation value corresponding to a predetermined speech keyword on the basis of the voice data of the employee during the service event, and an output that stores the service speech evaluation value in correlation with identification information of the employee, and voice data of the employee specified by a service position and time point of the employee.

Abstract: An audio processing device includes an acquisition unit that acquires audio that is picked up by a sound pick-up unit, a detector that detects an audio position of the audio, a determiner that determines whether or not the audio is a speech audio when the audio position is within a privacy protection area, an analyzer that analyzes the speech audio to acquire an emotion value, a converter that converts the speech audio into a substitute sound corresponding to the emotion value, and an output controller that causes an audio output that outputs the audio to output the substitute sound.

Abstract: A headset includes a housing provided at one end of a headband, an ear pad attached to the housing, a boom main body attached to the housing on a side opposite to the ear pad, an arm portion provided in the boom main body and protruding to a side opposite to one end of the headband with the housing interposed between the headband and the arm portion, a first microphone provided at a protruding tip of the arm portion, and a second microphone provided on the arm portion, and disposed on a substantially straight line passing through a mouth of a user and the first microphone and on a side opposite to the mouth of the user with the first microphone interposed between the mouth and the second microphone.