Abstract: Provided is a sensor in which a current sensor that detects a current of a power line as a change in a magnetic field and a voltage sensor that detects a voltage of the power line using capacitive coupling are integrally formed. The transmission of signals related to substantially the same sections is omitted in order to effectively compress an output signal from the sensor and an output signal from the voltage sensor. When the amplitude and phase of a fundamental wave which are estimated from the output signal from the sensor and the amplitude and phase of harmonics are encoded, the amplitude and phase of the harmonics are relativized with a value for the fundamental wave.

Abstract: Provided is a sensor in which a current sensor that detects a current of a power line as a change in a magnetic field and a voltage sensor that detects a voltage of the power line using capacitive coupling are integrally formed. The transmission of signals related to substantially the same sections is omitted in order to effectively compress an output signal from the sensor and an output signal from the voltage sensor. When the amplitude and phase of a fundamental wave which are estimated from the output signal from the sensor and the amplitude and phase of harmonics are encoded, the amplitude and phase of the harmonics are relativized with a value for the fundamental wave.

Abstract: Provided is a sensor in which a current sensor that detects a current of a power line as a change in a magnetic field and a voltage sensor that detects a voltage of the power line using capacitive coupling are integrally formed. The transmission of signals related to substantially the same sections is omitted in order to effectively compress an output signal from the sensor and an output signal from the voltage sensor. When the amplitude and phase of a fundamental wave which are estimated from the output signal from the sensor and the amplitude and phase of harmonics are encoded, the amplitude and phase of the harmonics are relativized with a value for the fundamental wave.

Abstract: The present technology relates to an audio processing apparatus, an audio processing method, and a program which enable to appropriately eliminate a noise. An audio processing apparatus includes a sound collector which collects audio, an audio enhancer which enhances audio to be extracted using an audio signal collected by the sound collector, an audio attenuator which attenuates the audio to be extracted using the audio signal collected by the sound collector, a noise environment estimator which estimates a surrounding noise environment, and a post-filtering unit which performs post-filtering processing using an audio-enhanced signal from the audio enhancer and an audio-attenuated signal from the audio attenuator, in which the post-filtering unit sets strength of processing for noise elimination according to the noise environment by the noise environment estimator. The present technology can be applied to an apparatus which performs audio recognition processing, such as a mobile phone.

Abstract: A sound processing apparatus includes a sound determination portion operable to determine whether an input sound includes a first sound emitted from a particular source based on location information of the source, a sound separation portion operable to separate the input sound into the first sound and a second sound emitted from a source different from the particular source if the sound determination portion determines that the input sound includes the first sound, and a sound mixing portion operable to mix the first sound and the second sound separated by the sound separation portion at a prescribed volume ratio.

Abstract: The present technology relates to an audio processing apparatus, an audio processing method, and a program which enable to appropriately eliminate a noise. An audio processing apparatus includes a sound collector which collects audio, an audio enhancer which enhances audio to be extracted using an audio signal collected by the sound collector, an audio attenuator which attenuates the audio to be extracted using the audio signal collected by the sound collector, a noise environment estimator which estimates a surrounding noise environment, and a post-filtering unit which performs post-filtering processing using an audio-enhanced signal from the audio enhancer and an audio-attenuated signal from the audio attenuator, in which the post-filtering unit sets strength of processing for noise elimination according to the noise environment by the noise environment estimator. The present technology can be applied to an apparatus which performs audio recognition processing, such as a mobile phone.

Abstract: There is provided a signal processing device including a feature amount extraction unit configured to extract, from a frequency-domain signal obtained by frequency conversion on a voice signal, a feature amount of the frequency-domain signal, and a determination unit configured to determine, based on the extracted feature amount, presence or absence of noise in the voice signal within a predetermined section. The feature amount is composed of a plurality of elements. The plurality of elements contain an element defined based on a correlation value between a feature amount waveform which is a waveform according to the frequency-domain signal in the voice signal within the predetermined section and a feature amount waveform within another section sequential in time to the predetermined section.

Abstract: There is provided a sampling point adjustment apparatus including: a frequency conversion unit that converts a first signal and a second signal into a first narrow band signal and a second narrow band signal through frequency conversion; a central position determination unit that determines a central position of a window of the frequency conversion for the second signal based on an estimated value of a sampling interval offset between the first narrow band signal and the second narrow band signal; and a phase control unit that controls a phase of the second narrow band signal based on the estimated value.

Abstract: There is provided an audio signal processing device including a feature amount extraction unit configured to extract, from an audio signal obtained by a sound collection unit, a feature amount that indicates a pulsed operation sound generated from a sound generation unit provided in a same housing as the sound collection unit, and a noise determination unit configured to determine whether or not the operation sound is included in the audio signal based on the feature amount.

Abstract: A sound processing device includes: a nonlinear processing unit that outputs a plurality of sound signals including sound sources existing in predetermined areas by performing a nonlinear process for a plurality of observed signals that are generated by a plurality of sound sources and are observed by a plurality of sensors; a signal selecting unit that selects a sound signal including a specific sound source from among the plurality of sound signals output by the nonlinear processing unit and the observed signal including the plurality of sound sources; and a sound separating unit that separates a sound signal including the specific sound source that is selected by the signal selecting unit from the observed signal selected by the signal selecting unit.

Abstract: There is provided a sound processing device including an input signal processing unit configured to calculate a first acoustic feature quantity indicating a likelihood being of a sinusoidal wave of a signal in each time frequency domain and a second acoustic feature quantity different from the first acoustic feature quantity based on an input signal of content to be identified, a reference signal processing unit configured to calculate the first acoustic feature quantity and the second acoustic feature quantity based on a reference signal of content prepared in advance, and a matching processing unit configured to calculate a similarity between the input signal and the reference signal based on the first and second acoustic feature quantities of the input signal and the first and second acoustic feature quantities of the reference signal.

Abstract: Provided is a sensor in which a current sensor that detects a current of a power line as a change in a magnetic field and a voltage sensor that detects a voltage of the power line using capacitive coupling are integrally formed. The transmission of signals related to substantially the same sections is omitted in order to effectively compress an output signal from the sensor and an output signal from the voltage sensor. When the amplitude and phase of a fundamental wave which are estimated from the output signal from the sensor and the amplitude and phase of harmonics are encoded, the amplitude and phase of the harmonics are relativized with a value for the fundamental wave.

Abstract: Disclosed herein is a noise removing apparatus, including: an object sound emphasis section adapted to carry out an object sound emphasis process for observation signals of first and second microphones to produce an object sound estimation signal; a noise estimation section adapted to carry out a noise estimation process for the observation signals to produce a noise estimation signal; a post filtering section adapted to remove noise components remaining in the object sound estimation signal using the noise estimation signal; a correction coefficient calculation section adapted to calculate, for each frequency, a correction coefficient for correcting the post filtering process based on the object sound estimation signal and the noise estimation signal; and a correction coefficient changing section adapted to change those of the correction coefficients which belong to a frequency band suffering from spatial aliasing such that a peak appearing at a particular frequency is suppressed.

Abstract: A respiratory condition analysis apparatus includes a respiratory signal acquisition section configured to acquire a time-series respiratory signal including respiratory sound of a living body, a respiratory segment identification section configured to identify a respiratory segment that is a time segment including the respiratory sound in the respiratory signal, a feature value generation section configured to generate a predetermined feature value of the respiratory signal for the identified respiratory segment, and a respiratory abnormality degree generation section configured to generate a degree of abnormality of the respiratory sound included in the respiratory signal on the basis of the feature value.

Abstract: There is provided a sampling point adjustment apparatus including: a frequency conversion unit that converts a first signal and a second signal into a first narrow band signal and a second narrow band signal through frequency conversion; a central position determination unit that determines a central position of a window of the frequency conversion for the second signal based on an estimated value of a sampling interval offset between the first narrow band signal and the second narrow band signal; and a phase control unit that controls a phase of the second narrow band signal based on the estimated value.

Abstract: A signal processing apparatus includes an absolute value unit configured to convert an audio signal into absolute values, a representative value calculation unit configured to calculate representative values of consecutive sample values included in blocks of the audio signal which has been converted into the absolute values using at least maximum sample values among values of the samples included in the blocks for individual blocks, an average value calculation unit configured to determine a section which includes a predetermined number of consecutive blocks as a frame and calculate a maximum value of the representative values of the blocks included in the frame and an average value of the representative values of the blocks included in the frame, and a detector configured to detect click noise in the frame on the basis of a ratio of the maximum value to the average value.

Abstract: There is provided a sound processing apparatus including a sound separation unit that separates an input sound into a plurality of sounds caused by a plurality of sound sources, a sound type estimation unit that estimates sound types of the plurality of sounds separated by the sound separation unit, a mixing ratio calculation unit that calculates a mixing ratio of each sound in accordance with the sound type estimated by the sound type estimation unit, and a sound mixing unit that mixes the plurality of sounds separated by the sound separation unit in the mixing ratio calculated by the mixing ratio calculation unit.

Abstract: Estimating operational states of a plurality of electrical devices connected to an electrical power line, that is, an electricity usage condition is appropriately carried out. Current and voltage are calculated as time-series from the electrical power line to which the plurality of electrical devices is connected. Signal components of power frequency and harmonics thereof are extracted from the time-series of the current and the voltage. Admittance vector time-series are calculated from the signal components. The admittance vector time-series are compared with combinations of feature vectors of the plurality of electrical devices connected to the electrical power line, to obtain an estimated result of the operational states of the plurality of electrical devices.

Abstract: There is provided a sound detecting apparatus including: a feature value extracting unit which extracts a feature value per every predetermined time from an input time signal; a feature value maintaining unit which maintains a feature value sequence of a predetermined number of detection target sound items; and a comparison unit which respectively compares a feature value sequence extracted by the feature value extracting unit with a feature value sequence of the maintained predetermined number of detecting target sound items and obtains detection results of the predetermined number of detection target sound items every time the feature value extracting unit newly extracts a feature value, wherein the feature value extracting unit includes a time frequency transform unit and a likelihood distribution detecting unit, smooths the obtained likelihood distribution in frequency and time directions, and extracts a feature value per the predetermined time.

Abstract: An information processing device includes a change point detection unit which detects change points of a moving image, a transition detection unit which detects transition of a subject, a composition similarity degree information generation unit which generates composition similarity degree information, based on feature amounts of the compositions of the images configuring the moving image included between the change points, a voice similarity degree information generation unit which generates voice similarity degree information, based on a feature amount of the voice data associated with the moving image included between the change points, and a determination unit which determines whether or not the moving image included between the change points is a moving image corresponding to the specific scene, based on the detected transition, the generated composition similarity degree information and the generated voice similarity degree information.