Abstract: An information processing device includes an acquisition unit that acquires mobile object information, parcel information, pickup delivery information as information regarding at least one of pickup and delivery, map information, weather information, and traffic information, a calculation control unit that calculates a delivery company burden, as a cost defrayment by a delivery company, in regard to each combination of target parcels and a mobile object by using the mobile object information, the parcel information, the pickup delivery information, the map information, the weather information and the traffic information, a determination unit that determines an optimum combination out of a plurality of combinations based on the delivery company burden calculated in regard to each combination of target parcels and a mobile object, and an output unit that outputs the optimum combination.

Abstract: An information processing device includes a signal acquisition unit that acquires a voice signal of an object person outputted from a mic array and a control unit that acquires at least one of noise level information indicating a noise level of noise and first information as information indicating whether or not an obstructor is speaking while obstructing speech of the object person and changes a beam width as a width of a beam corresponding to an angular range of acquired sound, centering at the beam representing a direction in which voice of the object person is inputted to the mic array, and dead zone formation intensity as a degree of suppressing at least one of the noise and voice of the obstructor inputted to the mic array based on at least one of the noise level information and the first information.

Abstract: An information processing device includes an acquisition unit that acquires user identification information as information identifying a user and position information as at least one item of information out of present position information as information indicating the user's present position and destination information as information indicating a destination, acquires purchase information indicating a purchased item purchased by the user in the past by using the user identification information, and acquires a learned model, an estimation unit that estimates an advertisement to be provided to the user by using the position information, the purchase information and the learned model, and a provision control unit that executes a process for providing the advertisement to the user.

Abstract: A delivery management device includes a communication unit and a control unit. The control unit acquires vehicle position information and user position information when a request for delivery of a parcel is received, selects one vehicle among a plurality of vehicles based on contents of the request, information acquired from a storage device, the vehicle position information and the user position information, makes the selected vehicle as a responsible vehicle move to the user present position, and receives a pickup completion notification indicating that the responsible vehicle moved to the user present position and a shipment parcel has been loaded onto the responsible vehicle or a completion notification indicating that the responsible vehicle arrived at the user present position and a reception parcel has been taken out of the responsible vehicle.

Abstract: A noise suppression device transforms observation signals to spectral components of multiple channels, calculates an arrival time difference, calculates weight coefficients based on the arrival time difference, estimates whether each of the spectral components of the plurality of frames is a spectral component of target sound or not, estimates a weighted S/N ratio of each of the spectral components of the plurality of frames based on the result of the estimation and the weight coefficients, calculates gains of the spectral components of the plurality of frames by using the weighted S/N ratios, outputs spectral components of an output signal by suppressing spectral components of observation signals of sounds other than the target sound in the spectral components of the plurality of frames by using the gains, and transforms the spectral components of the output signal to an output signal in a time domain.

Abstract: An information processing device includes a signal acquisition unit that acquires a voice signal of an object person outputted from a mic array and a control unit that acquires at least one of noise level information indicating a noise level of noise and first information as information indicating whether or not an obstructor is speaking while obstructing speech of the object person and changes a beam width as a width of a beam corresponding to an angular range of acquired sound, centering at the beam representing a direction in which voice of the object person is inputted to the mic array, and dead zone formation intensity as a degree of suppressing at least one of the noise and voice of the obstructor inputted to the mic array based on at least one of the noise level information and the first information.

Abstract: A microphone array includes first and second microphones (Ma, Mb) placed on a first axis (f), a third microphone (Mc) placed on a plane (fg) formed by the first axis and a second axis (g) and at a position other than on the first axis, and a fourth microphone (Md) placed on a third axis (h), and at a position other than on the plane formed by the first and the second axes, and a processing circuit generates signals (Cx, Cy, Cz) having bidirectionality in first, second and third mutually perpendicular directions (x, y, z), and an omnidirectional signal (Cw), based on signals (Ba to Bd) obtained by sound collection by means of the first to fourth microphones. It is possible to generate signals having bidirectionality in mutually perpendicular directions, and an omnidirectional signal, without using special microphones, and without excessive restrictions with regard to the placement of the microphones.

Abstract: A sound signal control device in a device including an input transducer to detect sound in a space in a vehicle, a sensor to image an occupant in the space, and an output transducer to emit sound into the space includes: a controller to generate information indicating a position of a head of the occupant and information indicating a state of the occupant, based on an image imaged by the sensor; a processor to generate a cancellation signal for cancelling noise at the position based on a sound signal representing sound detected by the input transducer and the information, and generate a control signal for controlling sound at the position based on the cancellation signal; and a converter to cause the output transducer to emit a sound corresponding to the control signal. The processor adjusts a degree to which the noise is cancelled, based on the information indicating the state.

Abstract: A falsification prevention structure is to prevent falsification of the performance of a turbocharger. A bearing housing of the turbocharger has a flow rate adjustment screw which is operated to adjust a turbine flow rate of the turbocharger. The falsification prevention structure includes a cover member which is fastened to a flange portion of the bearing housing by a fixing bolt and which covers the flow rate adjustment screw, and a cap which is mounted in an irremovable manner with respect to the cover member and which blocks a bolt hole.

Abstract: A speech enhancement device includes: a filter to extract, from an input signal, a component in a frequency band including a fundamental frequency of speech, as a first filter signal; a filter to extract, from the input signal, a component in a frequency band including a first formant of speech, as a second filter signal; a filter to extract, from the input signal, a component in a frequency band including a second formant of speech, as a third filter signal; a mixer to mix the first and second filter signals, thereby outputting a first mixed signal; a mixer to mix the first and third filter signals, thereby outputting a second mixed signal; a controller to delay the first mixed signal, thereby generating a first speech signal for a first ear; and a controller to delay the second mixed signal thereby generating a second speech signal for a second ear.

Abstract: A falsification prevention structure is to prevent falsification of the performance of a turbocharger. A bearing housing of the turbocharger has a flow rate adjustment screw which is operated to adjust a turbine flow rate of the turbocharger. The falsification prevention structure includes a cover member which is fastened to a flange portion of the bearing housing by a fixing bolt and which covers the flow rate adjustment screw, and a cap which is mounted in an irremovable manner with respect to the cover member and which blocks a bolt hole.

Abstract: A sound signal control device in a device including an input transducer to detect sound in a space in a vehicle, a sensor to image an occupant in the space, and an output transducer to emit sound into the space includes: a controller to generate information indicating a position of a head of the occupant and information indicating a state of the occupant, based on an image imaged by the sensor; a processor to generate a cancellation signal for cancelling noise at the position based on a sound signal representing sound detected by the input transducer and the information, and generate a control signal for controlling sound at the position based on the cancellation signal; and a converter to cause the output transducer to emit a sound corresponding to the control signal. The processor adjusts a degree to which the noise is cancelled, based on the information indicating the state.

Abstract: A first signal weighting processor outputs a weighted signal obtained by performing a weighting on part of an input signal representing a feature of a target signal included in the input signal. A neural network processor outputs an enhancement signal for the target signal by using a coupling coefficient. An inverse filter cancels the weighting on the feature representation of the target signal in the enhancement signal. A second signal weighting processor outputs a weighted signal obtained by performing a weighting on part of a supervisory signal representing a feature of a target signal. An error evaluator output a coupling coefficient to have a value indicating that a learning error between the weighted signal output from the second signal weighting processor and the output signal of the neural network processor is less than or equal to a set value.

Abstract: A microphone array includes first and second microphones (Ma, Mb) placed on a first axis (f), a third microphone (Mc) placed on a plane (fg) formed by the first axis and a second axis (g) and at a position other than on the first axis, and a fourth microphone (Md) placed on a third axis (h), and at a position other than on the plane formed by the first and the second axes, and a processing circuit generates signals (Cx, Cy, Cz) having bidirectionality in first, second and third mutually perpendicular directions (x, y, z), and an omnidirectional signal (Cw), based on signals (Ba to Bd) obtained by sound collection by means of the first to fourth microphones. It is possible to generate signals having bidirectionality in mutually perpendicular directions, and an omnidirectional signal, without using special microphones, and without excessive restrictions with regard to the placement of the microphones.

Abstract: An acoustic signal processing device includes an acoustic signal analysis unit that analyzes an acoustic feature of a reception signal from a far end side and thereby generates an appropriate control signal, an echo canceller that cancels an acoustic echo mixed into an input acoustic signal, a noise canceller that cancels noise mixed into the input acoustic signal, and a speech enhancement unit that enhances a feature of speech included in the input acoustic signal, and thus high speech quality can be maintained irrespective of the type of a mobile phone or a communication network, and a high-quality hands-free voice call and high-accuracy speech recognition become possible.

Abstract: Disclosed is an echo canceller (10) including: a false echo calculator (32) that acquires current and previous filter-coefficient groups used by an adaptive filtering unit (20), and that calculates plural false echo signals by performing a filtering operation using each of the current and previous filter-coefficient groups on a sequence of reception signals (x(n)); a voice-transmission signal buffer that outputs a previous voice-transmission signal (y(n?1)); an evaluation value calculator (34) that calculates plural evaluated values of an echo cancellation quantity by using the previous voice-transmission signal; a filter selector (36) that selects a new filter-coefficient group on the basis of the plural evaluated values of the echo cancellation quantity; a foreground filter (39) that performs a filtering operation using the new filter-coefficient group on the sequence of reception signals (x(n)) to generate an estimated echo component; and a subtractor (25) that subtracts the estimated echo component from a

Abstract: A speech enhancement device includes: a filter to extract, from an input signal, a component in a frequency band including a fundamental frequency of speech, as a first filter signal; a filter to extract, from the input signal, a component in a frequency band including a first formant of speech, as a second filter signal; a filter to extract, from the input signal, a component in a frequency band including a second formant of speech, as a third filter signal; a mixer to mix the first and second filter signals, thereby outputting a first mixed signal; a mixer to mix the first and third filter signals, thereby outputting a second mixed signal; a controller to delay the first mixed signal, thereby generating a first speech signal for a first ear; and a controller to delay the second mixed signal thereby generating a second speech signal for a second ear.

Abstract: Disclosed is an echo canceller including: a false echo calculator that calculates false echo signals by performing a filtering operation using each of current and previous filter-coefficient groups which used by an adaptive filtering unit on a sequence of reception signals (x(n)); an evaluation value calculator that calculates evaluated values of an echo cancellation quantity on the basis of a voice-transmission signal (y(n)) and the false echo signals; a false echo selector that selects an estimated echo component from the false echo components on the basis of the evaluated values of the echo cancellation quantity; and a signal output unit (Sout) that outputs a residual signal (e(n)).

Abstract: A first signal weighting processor outputs a weighted signal obtained by performing a weighting on part of an input signal representing a feature of a target signal included in the input signal. A neural network processor outputs an enhancement signal for the target signal by using a coupling coefficient. An inverse filter cancels the weighting on the feature representation of the target signal in the enhancement signal. A second signal weighting processor outputs a weighted signal obtained by performing a weighting on part of a supervisory signal representing a feature of a target signal. An error evaluator output a coupling coefficient to have a value indicating that a learning error between the weighted signal output from the second signal weighting processor and the output signal of the neural network processor is less than or equal to a set value.

Abstract: Disclosed is an echo canceller including: a false echo calculator that calculates false echo signals by performing a filtering operation using each of current and previous filter-coefficient groups which used by an adaptive filtering unit on a sequence of reception signals (x(n)); an evaluation value calculator that calculates evaluated values of an echo cancellation quantity on the basis of a voice-transmission signal (y(n)) and the false echo signals; a false echo selector that selects an estimated echo component from the false echo components on the basis of the evaluated values of the echo cancellation quantity; and a signal output unit (Sout) that outputs a residual signal (e(n)).