Nec Corporation

Daikin Industries, Ltd.

Masanori Tsujikawa

Takayuki Arakawa

Tadashi Emori

Ken Hanazawa

Ryosuke Isotani

Akihiko Sugiyama

Yoshifumi Onishi

Toshinobu Ogatsu

Yukihiro Kiuchi

Shuji Komeiji

Terumi Umematsu

Satoshi Hashimoto

Atsushi Nishino

Takuma Kogo

Shouta Hori

Shiori Emoto

Junya Nakase

Sho Ohtani

Satoshi Tsukada

Eiji Takada

So Yamada

A drowsiness estimation information correction device includes: a drowsiness estimation information acquisition unit that acquires drowsiness estimation information that is based on an eyelid movement of a subject; and a drowsiness estimation information correction unit that calculates corrected drowsiness estimation information obtained by correcting the drowsiness estimation information with humidity information indicating humidity in a surrounding environment of the subject.

Drowsiness estimation information correction device, drowsiness estimation device, drowsiness estimation information correction method, drowsiness estimation method, and recording medium

An information processing deviceX mainly includes an environmental information acquisition meansX and a mental state estimation meansX. The environmental information acquisition meansX is configured to acquire environmental information 'Ie' which is information on environment. The mental state estimation meansX is configured to estimate, based on the environmental information Ie, a mental state of a group present in the environment indicated by the environmental information Ie.

Information processing device, control method, and storage medium

Provided an area-specific environment management system, which manages an environment in an individual one of a plurality of areas, the system including: a biological information sensor that acquires biological information about at least one of an individual and a group who belongs to an individual one of the areas; an environmental information sensor that acquires environmental information about an individual one of the areas; an arousal level estimation section that estimates an arousal level with respect to the biological information by using an arousal level estimation model; and an environment provision section that provides an environment to an individual one of the areas based on the arousal level and the environmental information, wherein the arousal level includes, as a state to which the arousal level belongs, a state from sleepy until awakened; a wakeful state; and an excessively wakeful state, and wherein the environment provision section includes an individual control mode corresponding to a state to which the arousal level belongs and manages an environment to be provided to an individual one of the areas based on the control mode.

Area-specific environment management system for providing environment in which arousal level is adjusted, method, and recording medium therefor

An alertness estimation apparatus, includes: an image extraction unitthat extracts an image of a portion including eyes from an image data of a face image of a human; a first alertness estimation unitthat estimates a first alertness based on the extracted image; a pulse wave detection unitthat determines whether or not the estimated first alertness satisfies a set condition, and detect a pulse wave of the human from the face image, when the first alertness satisfies the set condition; and a second alertness estimation unitthat estimates a second alertness of the human based on the detected pulse wave.

Alertness estimation apparatus, alertness estimation method, and computer- readable recording medium

This drowsiness estimating device estimates a subject's drowsiness from a time-series signal of the subject's eye-openness width. A filtering circuitry filters the time-series signal of the eye-openness width to eliminate signal changes due to the subject blanking and outputs the filtered time-series signal of eye-openness. A feature calculator calculates a feature from at least the filtered time-series signal of the eye-openness width. A drowsiness estimator estimates a drowsiness evaluated value from the feature and outputs an estimated result. The feature calculator includes at least a first feature calculation circuit that calculates a variation of the filtered time-series signal of the eye-openness width within a feature calculation window width and outputs the variation as a first feature.

Drowsiness estimating device, drowsiness estimating method, and drowsiness estimating program recording medium

An environmental apparatus controller performs control over multiple types of environmental apparatuses, and includes a grasping unit, learning control plan output means, and a selection control unit. The grasping unit grasps current mental and physical condition information of a user, environmental situation information, and target relationship information between a target mental and physical condition and a present mental and physical condition. The learning control plan output means outputs a control change plan for each combination of multiple types of the environmental apparatuses according to the current mental and physical condition information, the environmental situation information, and the target relationship information. The selection control unit selects one of a plurality of the control change plans output by the learning control plan output means and executes the plan. The learning control plan output means performs learning such that a method of determining the control change plans to be output is updated.

Environmental apparatus controller with learning control based on user condition

A noise suppression system includes an a priori S/N ratio estimated value and expectation calculation unit that acquires an expectation of a priori S/N ratio, by correcting an estimated value of the a priori S/N ratio relating to a signal and a noise based on a priori S/N ratio model or based on a signal model and a noise model, the signal and the noise being estimated from an input signal in which the signal and the noise are mixed; a noise suppression coefficient calculation unit that calculates a noise suppression coefficient with use of the expectation of the a priori S/N ratio; and a noise suppression unit that suppresses the noise included in the input signal by multiplying the input signal by the noise suppression coefficient.

Noise suppression system, noise suppression method, and recording medium storing program

A speech processing apparatus includes: an expectation value calculation unit configured to calculate, using an input signal spectrum and a speech model that models a feature quantity of speech, a spectrum expectation value which is an expectation value of a spectrum of an acoustic component included in the input signal spectrum; and an acoustic power estimation unit configured to estimate an acoustic power of the acoustic component of the input signal spectrum based on the input signal spectrum and the spectrum expectation value.

Speech processing apparatus, speech processing method, and recording medium

To remove only noise components without removing desired signal components, a signal processing apparatus includes a noise decorrelator that removes noise signals having correlation between at least two input signals, in each of which a desired signal and a noise signal coexist, by receiving the at least two input signals from at least two channels, and a residual noise remover that removes residual noise included in an output signal of the noise decorrelator based on a phase difference between the output signal of the noise decorrelator and at least one input signal included in the at least two input signals.

Signal processing apparatus, signal processing method, and signal processing program

A speech processing system placed in a vehicle to effectively acquire a voice of a driver includes a first microphone that is provided on a surface facing the driver of the vehicle out of a steering wheel of the vehicle, and inputs a voice of the driver, a second microphone that is provided at a position where the voice of the driver of the vehicle is blocked by at least part of the steering wheel in the vehicle, and inputs noise in the vehicle, and a noise suppressor that suppresses an estimated noise signal based on a first signal corresponding to the sound input to the first microphone and a second signal corresponding to the sound input to the second microphone, and generates and outputs a pseudo speech signal.

Speech processing system, vehicle, speech processing unit, steering wheel unit, speech processing method, and speech processing program

An apparatus of this invention is directed to a speech input apparatus for obtaining a piece of high-quality speech with included noise reduced. The speech input apparatus includes a sound insulating block attached to a ceiling member in a vehicle, a first microphone that is attached to a side surface of the sound insulating block or the ceiling member in the vicinity of the sound insulating block on a side close to a passenger of the vehicle, inputs a sound mixture including the voice of the passenger and noise in the vehicle, and outputs a first signal to a noise suppressor configured to output an enhanced speech signal, and a second microphone that is attached to a side surface of the sound insulating block or the ceiling member in the vicinity of the sound insulating block on a side far from the passenger, inputs the noise in the vehicle, and outputs a second signal to the noise suppressor.

Speech input apparatus, speech processing method, speech processing program, ceiling member, and vehicle

A system of this invention is directed to a speech processing system that efficiently performs noise suppression processing for a plurality of noise sources spreading in a lateral direction with respect to a speaker of interest. The speech processing system includes a microphone array including a plurality of microphones, each of which inputs a sound mixture including speech of a speaker of interest and noise from a noise source region including a plurality of noise sources placed in a lateral direction with respect to the speaker of interest, and outputs a mixture signal including a speech signal and a noise signal, the plurality of microphones being arranged such that a difference between respective distances from the plurality of microphones to the speaker of interest becomes different from a difference between respective distances from the plurality of microphones to the noise source region, and a noise suppressor that suppresses the noise based on the mixture signals output from the plurality of microphones.

Speech processing system, speech processing method, speech processing program, vehicle including speech processing system on board, and microphone placing method

To input the voice of the passenger of a vehicle and output a piece of high-quality enhanced speech independently of the direction of a piece of speech or noise, a speech processing apparatus includes a first microphone that is provided on one of a ceiling member in a vehicle and an accessory thereof, inputs a sound mixture including a voice of a passenger of the vehicle and noise in the vehicle, and outputs a first signal, a second microphone that is provided on one of the ceiling member in the vehicle and the accessory thereof at a position farther than the first microphone when viewed from the passenger of the vehicle, inputs the noise in the vehicle while insulating the voice of the passenger of the vehicle using one of the ceiling member of the vehicle and the accessory thereof, and outputs a second signal, and a noise suppressor that outputs an enhanced speech signal based on the first signal and the second signal.

Speech processing apparatus, speech processing method, speech processing program, method of attaching speech processing apparatus, ceiling member, and vehicle

Disclosed is a noise suppression system including a unit for calculating a noise mean spectrum from an input signal, a unit for deriving the provisional estimate speech from the input signal and the noise mean spectrum, a reference speech pattern, and a unit for correcting the provisional estimate speech using the reference pattern.

Growing community of inventors

Tokyo, Japan

Masanori Tsujikawa