Panasonic Intellectual Property Corporation of America

Panasonic Corporation

Panasonic Intellectual Property Management Co., Ltd.

Panasonic Holdings Corporation

Shinichi Yuzuriha

Takeo Kanamori

Hiroki Furukawa

Yoshifumi Hirose

Masanari Miyamoto

Kazuya Nomura

Yutaka Banba

Seigo Enomoto

Yasuhiro Terada

Yuki Terashima

Moe Takada

An echo suppressing device includes: an echo canceller that suppresses a linear echo signal from an input signal acquired by a microphone; a spectrum envelope extraction unit that extracts spectrum envelope information from a reception signal to be output to a loudspeaker; a nonlinear echo estimation unit that estimates spectrum envelope information of a nonlinear echo signal included in the input signal from the spectrum envelope information extracted from the reception signal; and a nonlinear echo suppression unit that suppresses the nonlinear echo signal from an output signal of the echo canceller by using the estimated spectrum envelope information of the nonlinear echo signal.

Echo suppressing device, echo suppressing method, and non-transitory computer readable recording medium storing echo suppressing program

A sound pickup device includes microphone elements arranged three-dimensionally in a distributed manner. A total number of effective microphone pairs is greater than a total number of the microphone elements, the effective microphone pairs each being a combination of two microphone elements having a distance less than a distance D between each other. The distance D is represented by D=c/2f, where f represents a frequency of a target sound obtained from each of the microphone elements and c represents a velocity of the target sound. Any one of straight lines each of which connects the two microphone elements of a different one of the effective microphone pairs is not parallel to any other of the straight lines.

Sound pickup device

A sound crosstalk suppression device includes: a speaker analysis unit configured to analyze a speaker situation in a closed space based on voice signals respectively collected by a plurality of microphones arranged in the closed space; a filter update unit that includes a filter configured to generate a suppression signal of a crosstalk component included in a voice signal of a main speaker, that is configured to update a parameter of the filter, and that is configured to store the updated parameter in a memory; a reset unit configured to reset the parameter of the filter in a case where it is determined that an analysis result of the speaker situation is switched; and a crosstalk suppression unit configured to suppress a crosstalk component by using a suppression signal.

Sound crosstalk suppression device and sound crosstalk suppression method

A sound pick-up device includes an adaptive filter configured to generate, from a reference signal, an estimated noise signal indicating a component of a noise signal contained in an input signal, a noise elimination signal generator configured to generate a noise elimination signal by subtracting the estimated noise signal from the input signal, a filter coefficient update unit configured to update a filter coefficient of the adaptive filter using the noise elimination signal, and a sample position identification unit configured to identify at least one signal sample position among a plurality of signal sample positions from a signal sample position where the noise elimination signal has a maximum absolute value to a signal sample position where the noise elimination signal has an absolute value that is largest at a predetermined order, in which the filter coefficient update unit updates the filter coefficient at the at least one signal sample position.

Sound pick-up device, sound pick-up method and non-transitory computer-readable recording medium recording sound pick-up program

A sound pickup device includes a plurality of microphone elements, a sensitivity correcting unit that corrects a difference in sensitivity among the microphone elements by multiplying an output signal of each of the microphone elements by a gain. The sound pickup device also includes a target sound detecting unit that detects a voice of a speaker as a target sound, a sensitivity correction control unit that controls the gain based on a result of detecting the target sound, and a directivity synthesizing unit that picks up the target sound in a boosted manner using the output signals from the microphone elements of which difference in sensitivity is corrected. The sensitivity correction control unit updates the gain based on the output signals from the microphone elements if the voice of the speaker is detected and does not update the gain if the voice of the speaker is not detected.

Sound pickup device, sound pickup method, and non-transitory computer readable recording medium storing sound pickup program

Included are a first obtainer which obtains a first signal output from a first microphone, a second obtainer which obtains a second signal output from a second microphone installed in a position different from a position where first microphone is installed, a delayer which delays the second signal, a mixed sounds estimator which estimates noises mixed in the first signal on the basis of the second signal delayed by the delayer, and an eraser which erases the noises from the first signal, the noises being estimated by the mixed sounds estimator.

Signal processing device and signal processing method

A speech input method that includes: detecting whether a user's face is in proximity to a speech input device including at least one microphone; and performing correction processing on an audio signal obtained through sound collection by the at least one microphone when it is detected that the user's face is in proximity to the speech input device.

Speech input method, recording medium, and speech input device

An echo suppression device includes an echo canceller which suppresses a linear echo signal from an input signal acquired by a microphone; a nonlinear echo estimation unit which, by using a nonlinear echo model indicative of a relationship between at least one of a call reception signal to be output to a speaker and the input signal, and a nonlinear echo signal, estimates the nonlinear echo signal included in the input signal from at least one of the call reception signal and the input signal; a nonlinear echo suppression unit which, by using the estimated nonlinear echo signal, suppresses the nonlinear echo signal from an output signal of the echo canceller; and an echo suppressor which suppresses a residual linear echo signal not suppressed by the echo canceller from an output signal of the nonlinear echo suppression unit.

Echo suppression device, echo suppression method, and non-transitory computer-readable recording medium which records echo suppression program

An acoustic echo cancellation device includes: a first echo canceller which, using an input signal obtained from at least two microphones and a reproduced signal outputted to a speaker, produces a first pseudo echo signal which indicates a component of the reproduced signal contained in the input signal; and a second echo canceller which, using at least one input signal outputted from the at least two microphones and the first pseudo echo signal, produces a second pseudo echo signal which indicates a component of the first pseudo echo signal contained in the at least one input signal, and cancels an acoustic echo component of the at least one input signal using the second pseudo echo signal.

Acoustic echo cancellation device, acoustic echo cancellation method and non-transitory computer readable recording medium recording acoustic echo cancellation program

A signal processing method includes: multiplying at least one of M signals output from M microphones by a gain so as to equalize sound pressure levels of the M signals, the M signals representing sounds that arrive at the M microphones from a sound source located within a predetermined distance from the M microphones, M being an integer equal to or greater than two; delaying at least one of the M signals so as to resolve time discrepancies between the M signals, the time discrepancies being caused by differences in arrival time between sounds that arrive at the M microphones from the sound source; and applying a filter so as to suppress a signal which is included in the M signals obtained through the multiplying and the delaying and which represents a sound output from the sound source located within the predetermined distance.

Signal processing method and signal processing device

A sound collecting apparatus is provided. The sound collecting apparatus includes a plurality of microphones that collects external sounds and sounds from noise sources in the sound collecting apparatus. Each microphone outputs a microphone signal. The microphone signal is divided, on a one-to-one basis for each microphone, into signals in mutually different frequency bands. A signal level is calculated, on a one-to-one basis for each divided microphone signal, for each of the mutually different frequency bands. Correlation values are calculated between the microphones for each group of identical frequency bands according to the signal level calculated for each of the mutually different frequency bands of each divided microphone signal. It is decided whether at least one of the microphones is sound-insulated, according to the correlation values.

Sound collecting apparatus, sound collection method, recording medium recording program, and imaging apparatus

A noise suppression apparatus disclosed is capable of suppressing pulse noise in an input signal even in a situation in which the level of the input signal changes. The pulse noise mixed in the input signal is suppressed, and linear prediction coefficients for the input signal is derived by linear prediction analysis. A prediction residual signal is then calculated from the input signal using the linear prediction coefficient. A threshold value is calculated based on the signal level of the input signal and the signal level of the prediction residual signal is compared with the threshold value. A limit control is performed on the prediction residual signal depending on a result of the comparison, and an output signal is generated based on the prediction residual signal having been subjected to the limit control using the linear prediction coefficient.

Noise suppression apparatus, noise suppression method, and non-transitory recording medium

A sound source localization apparatus is provided which can more surely detect a sound source located in a detection target region. The sound source localization apparatus includes a plurality of microphones and a baffle. The baffle has a first surface and a second surface. The second surface is a surface opposite to the first surface. The plurality of microphones are two-dimensionally arrayed and fixed in the first surface. The baffle allows the plurality of microphones to pick up direct sound arriving at the first surface and prevents the plurality of microphones from picking up direct sound arriving at the second surface.

Sound source localization apparatus

An apparatus includes a first microphone disposed near a first seat in a car cabin, the first seat configured to seat a first occupant, a second microphone disposed near a second seat in the car cabin, the second seat configured to seat a second occupant, a processor, and a memory storing a computer program. The computer program, when executed, causes the processor to execute operations including: estimating a first mixed speech using a second signal acquired by the second microphone, the first mixed speech including a first speech that has been uttered by the second occupant and has entered the first microphone, and removing the first mixed speech from a first signal acquired by the first microphone.

Speech collector in car cabin

A noise suppressing apparatus that calculates a suppression coefficient for suppressing noise of an input signal by using a frequency spectrum of the input signal includes a frequency converting section that converts the input signal into a frequency spectrum; a noise level estimating section that calculates an estimated noise level of the input signal; a weight coefficient calculating section that calculates N (N is 2 or more) weight coefficients at predetermined intervals; and a suppression coefficient calculating section that calculates a joint distribution model of sound by weighting N statistical distribution models with the N weight coefficients, derives an estimation expression for a sound spectrum of the input signal on the basis of posteriori probability using the calculated joint distribution model of sound as priori probability, and calculates the suppression coefficient on the basis of the derived estimation expression and level of the input signal.

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Osaka, Japan

Shinichi Yuzuriha