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:
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:
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:
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:
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:
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:
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:
To easily perform replacement of a fixing member for fixing an object on a skin of a human body.An electronic device includes a biological signal acquisition device, a first sheet, and a second sheet. The biological signal acquisition device acquires a biological signal of the human body in a state of being fixed to the skin of the human body. The first sheet has one surface to be bonded to the biological signal acquisition device and another surface to be bonded to another sheet. Furthermore, a bonding strength per unit area between the other surface of the first sheet and the other sheet is larger than a bonding strength per unit area between the one surface of the first sheet and the biological signal acquisition device. The second sheet includes one surface to be bonded to the other surface of the first sheet and another surface to be bonded to the skin of the human body. Furthermore, the bonding strength per unit area between the one surface of the first sheet and the biological signal acquisition device is larger than a bonding strength per unit area between the other surface of the second sheet and the skin of the human body.
Abstract:
There is provided a tonal component detection method including performing a time-frequency transformation on an input time signal to obtain a time-frequency distribution, detecting a peak in a frequency direction at a time frame of the time-frequency distribution, fitting a tone model in a neighboring region of the detected peak, and obtaining a score indicating tonal component likeness of the detected peak based on a result obtained by the fitting.