Abstract: An information processing apparatus includes a memory, and a processor coupled to the memory and configured to specify a first signal level of a first voice signal, specify a second signal level of a second voice signal, and execute evaluation of at least one of the first voice signal and the second voice signal based on at least one of a sum of the first signal level and the second signal level and an average of the first signal level and the second signal level.

Abstract: A line-of-sight analysis method, performed by a computer, includes: identifying, when a selection event with respect to a first object out of a plurality of objects is detected, a second object different from the first object, based on a detection status of line-of-sight relative to the objects in a most recent time period of the selection event; and outputting information indicating the identified second object.

Abstract: An information processing apparatus including a memory, and a processor coupled to the memory and the processor configured to execute a process, the process including extracting a moving object area corresponding to a moving object included in a plurality of frames in a moving image based on a result of a comparison between the plurality of frames with each other, tracking a position of the moving object area among the plurality of frames, determining, for each of the plurality of frames, an image area excluding the moving object area to be a background area whose position moves more than a defined period of time, and updating a background image of the moving image based on a result of the determining.

Abstract: A method includes extracting a plurality of feature points from a first image and a second image of an image-capture target, acquiring, from the second image, for each of the plurality of feature points in the first image, a set of points having a correlation with the feature point, identifying, for each of the plurality of feature points in the second image, a position of a center of gravity of the set of points, and determining an amount of movement of the image-capture target by performing weighting processing, the weighting processing being performed on each of amounts of displacements and a number of points in the set of points acquired for each of the plurality of feature points, each of the amounts of displacements being a displacement from a position of each of the plurality of feature points in the first image to the position of the center of gravity.

Abstract: A first and second electric members respectively having electrical connection portions are electrically connected in a state that mutual positions are regulated by guide pins, and fastening screws which are inserted through fastening screw insertion holes of the second electric member are screwed into screw holes for fastening of the first electric member, and thereby the first and second electric members are fastened. At least one of the screw holes for fastening has large-diameter portions into which the guide pin is detachably inserted, and small-diameter portions equipped with female screw portions. The female screw portions are not arranged in the large-diameter portions, and inner diameters of the large-diameter portions are larger than root diameters of the female screw portions, and outer circumferential surfaces of the fastening screws which are screwed with the female screw portions and inner circumferential surfaces of the large-diameter portions are not in contact with each other.

Abstract: A confused state determination device that includes: an audio receiver that receives input of call audio; a memory; and a processor that is connected to the memory and that is configured to detect a questioning utterance in a call-hold duration of the call audio, compute a frequency of the questioning utterance detected in the call-hold duration, and determine a user to be in a confused state in a case in which the computed questioning utterance frequency is a first threshold value or greater.

Abstract: A method for processing speech includes: executing a acquiring process that includes acquiring a speech signal; executing a detection process that includes detecting a first frequency spectrum from the speech signal; executing a calculation process that includes calculating a second spectrum based on an envelope of the first spectrum; executing a correction process that includes correcting the first spectrum based on comparison between a first amplitude of the first spectrum and a second amplitude of the second spectrum; executing a estimation process that includes estimating a pitch frequency of the speech signal in accordance with correlation between the corrected first frequency spectrum and periodic signals corresponding to frequencies in a certain band.

Abstract: An audio processing method including: generating a plurality of frequency spectra by transforming a plurality of audio signals inputted to a plurality of input devices respectively, comparing an amplitude of each of frequency components of a specific frequency spectrum included in the plurality of frequency spectra with an amplitude of each of frequency components of one or a more other frequency spectra different from the specific frequency spectrum included in the plurality of frequency spectra, for each of the frequency components, extracting, from the frequency components, a frequency component in which an amplitude of the specific frequency spectrum is larger than an amplitude of the one or more other frequency spectra, and controlling an output corresponding to the plurality of audio signal inputted to each of the plurality of input devices based on a proportion of the extracted frequency component in the frequency components whose amplitudes has been compared.

Abstract: A pitch extraction device includes a processor configured to perform a process including: dividing a first bit stream in encoded data into a plurality of sections each having a prescribed section length, the encoded data being obtained by performing entropy encoding on a residual signal calculated by performing linear prediction analysis on a sound signal; allocating a first value or a second value to each of the plurality of sections in the first bit stream in accordance with a bit value in each of the plurality of sections; generating a second bit stream obtained by re-encoding the first bit stream according to the first value and the second value that have been allocated to each of the plurality of sections in the first bit stream; and calculating a fundamental frequency of the sound signal in accordance with an autocorrelation of the second bit stream.

Abstract: An apparatus for motion determination includes: a memory; and a processor coupled to the memory, the processor being configured to (a) execute a specifying process that includes specifying an orientation of a head portion of a subject, (b) execute a calculation process that includes calculating a trajectory of a position of the head portion of the subject in a vertical direction and a trajectory of the position of the head portion of the subject in a transverse direction in a predetermined time range, and (c) execute a determination process that includes when the calculated trajectory in the vertical direction and the calculated trajectory in the transverse direction satisfy a determination condition for the specified orientation of the head portion, determining that there is a predetermined motion mapped to a motion of the head portion of the subject in the vertical direction.

Abstract: A method for estimating body orientation includes: executing extraction processing for extracting a person region from images; executing an identification processing for identifying a left site and a right site in the person region; executing calculation processing for calculating a left moving amount and a right moving amount; and executing estimation processing for estimating body orientation in the person region based on a first difference and relation information, the first difference being a difference between the left moving amount and the right moving amount, the relation information including first and second relation information, the first relation information indicating a relationship between the first difference and a change amount when the left moving amount is larger than the right moving amount, and the second relation information indicating a relationship between the first difference and the change amount when the right moving amount is larger than the left moving amount.

Abstract: A method includes: executing acquisition processing that includes acquiring an image frame captured by an imaging apparatus; executing a determination processing that includes determining whether a head region is included in the acquired image frame; executing calculation processing that includes calculating a first amount of change in time series of the head region by using a position of the head region in the image frame and a position of the head region in another image frame following the image frame; executing determination processing that includes determining a threshold to be compared with the first amount of change based on a frequency distribution of amounts of change in time series of the head region in a past image frame group prior to the acquired image frame; and executing evaluation processing that includes evaluating the first amount of change by comparing the determined threshold and the first amount of change.

Abstract: A voice processing device includes: a processor; and a memory which stores a plurality of instructions, which when executed by the processor, cause the processor to execute: detecting a first utterance section included in a first voice and a second utterance section included in a second voice; specifying an overlapping section within which the first utterance section and the second utterance section overlap with each other; calculating a first utterance continuation section from a start point of the overlapping section to an end point of the first utterance section; and evaluating an impression regarding the first voice at least on the basis of information relating to a length of the first utterance continuation section.

Abstract: A speech evaluation apparatus includes a memory, and a processor coupled to the memory and configured to generate a first input spectrum obtained by frequency transforming a first signal that is a signal of a first period, generate a second input spectrum obtained by frequency transforming a second signal that is the signal of a second period earlier than the first period, generate a processed spectrum obtained by transforming frequency of the second input spectrum based on a change ratio set in advance, calculate a correlation value between the first input spectrum and the processed spectrum, and determine a change amount of pitch frequency from the first signal to the second signal based on the change ratio and the correlation value.

Abstract: A non-transitory computer-readable recording medium storing a program that causes a computer to execute a process for evaluating a voice, the process includes analyzing a voice signal to detect a pitch frequency; selecting an evaluation target region to be evaluated in the detected pitch frequency based on a distribution of a detection rate of the detected pitch frequency; and evaluating a voice based on the distribution of the detection rate and the selected evaluation target region.

Abstract: An information processing apparatus including a memory, and a processor coupled to the memory and the processor configured to execute a process, the process including extracting a moving object area corresponding to a moving object included in a plurality of frames in a moving image based on a result of a comparison between the plurality of frames with each other, tracking a position of the moving object area among the plurality of frames, determining, for each of the plurality of frames, an image area excluding the moving object area to be a background area whose position moves more than a defined period of time, and updating a background image of the moving image based on a result of the determining.

Abstract: A sound processing device includes a processor configured to generate a first frequency spectrum of a first sound signal corresponding to a first sound received at a first input device and a second frequency spectrum of a second sound signal corresponding to the first sound received at a second input device, calculate a transfer characteristic based on a first difference between an intensity of the first frequency spectrum and an intensity of the second frequency spectrum, generate a third frequency spectrum of a third sound signal transmitted from the first input device and a fourth frequency spectrum of a fourth sound signal transmitted from the second input device, specify a suppression level of an intensity of the fourth frequency spectrum based on a second difference between an intensity of the third frequency spectrum and an intensity of the fourth frequency spectrum.

Abstract: A speech processing method for estimating a pitch frequency includes: executing a conversion process that includes acquiring an input spectrum from an input signal by converting the input signal from a time domain to a frequency domain; executing a feature amount acquisition process that includes acquiring a feature amount of speech likeness for each band included in a target band based on the input spectrum; executing a selection process that includes selecting a selection band selected from the target band based on the feature amount of speech likeness for each band; and executing a detection process that includes detecting a pitch frequency based on the input spectrum and the selection band.

Abstract: A speech processing method for estimating a pitch frequency includes: executing a conversion process that includes calculating a spectrum from a plurality of frames included in an input signal; executing a determination process that includes determining a speech-like frame from the plurality of frames based on characteristics of the spectrum of the frame; executing a learning process that includes specifying a fundamental sound based on a plurality of local maximum values included in the spectrum of the speech frame and learning a learning value based on a magnitude of the fundamental sound; and executing a detection process of detecting a pitch frequency of the frame based on the spectrum of the frame and the learning value.

Abstract: A voice processing method for estimating an impression of speech includes: executing an acquisition process that includes acquiring voice signals; executing a feature acquisition process that includes acquiring acoustic features regarding the voice signals from the voice signals; executing a voice-parameter acquisition process that includes acquiring a voice parameter regarding a frame of the voice signals; executing a relative-value determination process that includes determining a relative value between the determined voice parameter and a statistical value of the voice parameter; executing a weight assignment process that includes assigning a weight to the frame of the voice signals in accordance with the relative value; and executing a distribution determination process that includes determining a distribution of the acoustic features, based on the weight assigned to the frame of the voice signals.