16 results about "Noise" patented technology

The present invention provides a hearing aid capable of detecting contact vibration noise from a collected sound signal. A hearing aid (100) is provided with two microphones (110-1, 110-2), a vibration component extracting unit (120) which extracts from collected sound signals respectively obtained by the two microphones (110-1, 110-2) an uncorrelated component between two collected sound signals as a vibration component for each frequency band, a vibration noise identifying unit (130) which determines whether or not a contact noise occurs based on the vibration component for each frequency band extracted by the vibration component extracting unit (120), an acoustic signal processing unit (140) which, when generating an acoustic signal by hearing aid processing of the two collected sound signals, processes the acoustic signal depending on the presence or absence of the occurrence of the contact vibration noise, and a receiver (150) which converts the acoustic signal to sound.

The invention discloses an anti-tonal modification interference audio fingerprint extraction method. The method comprises the following steps of framing and windowing an audio signal, performing Fourier transform, and collecting Fourier coefficients corresponding to all frames of signals; calculating energy segment indexes corresponding to all the frames of signals by using an energy segment indexcalculation method based on a peak point in the collected Fourier coefficients; and calculating energy segment values by using the energy segment indexes and filtering energy segments by a two-dimensional filtering core to extract fingerprints. By means of the method, the defect that an existing Philips fingerprint cannot resist tonal modification interference can be overcome; and on the premiseof keeping the sub-fingerprint continuity of the original Philips fingerprint and the robustness of various noise interferences, the resistance to the tonal modification interference is improved.

The invention discloses a test method of noise reduction equipment, and the method is applied to a noise reduction test device, and comprises the following steps: presetting a plurality of noise reduction gain values; in the preset noise environment, acquiring the noise data of the to-be-tested noise reduction equipment under each noise reduction gain value, wherein the noise data comprises first noise data of the to-be-tested noise reduction equipment when noise reduction is started and second noise data of the to-be-tested noise reduction equipment when noise reduction is stopped; obtaining a first frequency response curve according to the first noise data under each noise reduction gain value, obtaining a second frequency response curve according to the second noise data under the noise reduction gain value, and calculating the variable quantity between the first frequency response curve and the second frequency response curve; and determining the noise reduction gain value corresponding to the maximum variable quantity as the optimal noise reduction gain value of the noise reduction equipment to be tested. According to the invention, the optimal noise reduction gain value of the to-be-tested noise reduction equipment can be determined, the optimal noise reduction effect of the to-be-tested noise reduction equipment is ensured, and the accuracy of a test result is improved. The invention further discloses a noise reduction testing device.

The invention discloses a split-type magnetic resonance imaging system, which comprises a body, a supporting table and a sliding table, wherein the upper end surface of the sliding table is provided with a noise reduction device; the noise reduction device comprises a noise reduction box and an upper cover body; a headrest is arranged in the noise reduction device; two sides of the headrest are symmetrically provided with a noise reduction earphone; the inner wall of the upper cover body is provided with an audio and video screen; noise reduction composite plates are embedded into the noise reduction box; two sides of the sliding table are symmetrically provided with sliding chutes; and a sound-proof plate is clamped in the sliding chutes in a sliding way. By use of the split-type magneticresonance imaging system, the sliding table is provided with the noise reduction box, multiple layers of noise reduction composite plates are embedded into the noise reduction box so as to realize multilevel absorption of noise, the noise reduction earphones and the audio and video screen are configured in the box body, while noise is isolated, multimedia audio and video service is provided for apatient, the attention of the patient is distracted, and the irritable emotion of the patient is lowered. The split-type magnetic resonance imaging system is also provided with the push-and-pull sound-proof plate, the sound-proof plate is for plugging the empty cavity of the body so as to further prevent noise from spreading, and through multiple noise reduction processing, a harmful degree of noise borne by the patient is greatly lowered.

The invention provides an audio signal processing method and device, electronic equipment and a storage medium. A specific embodiment of the method comprises the steps of obtaining an audio feature of a target audio signal, wherein the audio feature comprises at least one audio feature unit; and inputting each audio feature unit into a pre-trained machine learning model to obtain a corresponding audio category tag, wherein the audio category tag includes at least one of a near-field voice tag, a far-field voice tag, a music tag and a noise tag. According to the embodiment of the invention, whether the audio signal is voice or not can be identified, and whether the audio signal is a near-field voice,a far-field voice or music specifically can be identified so that reliable category information is provided for subsequent audio processing, and the audio processing efficiency and effect are greatly improved.

The invention relates to an acoustoelectric conversion device and an extractor hood with the acoustoelectric conversion device. A guide pipe is additionally arranged on the basis of a Helmholtz resonator; the outer sides of the two ends of the guide pipe are sleeved with two electromagnetic coils respectively; the outer side of the guide pipe is sleeved with a spring; the neck of the Helmholtz resonator can move back and forth in the guide pipe; the guide pipe and the whole Helmholtz resonator form a one-dimensional vibration system; the cavity of the guide pipe and the neck of the Helmholtz resonator form a resonance space; the neck of the Helmholtz resonator is provided with a piezoelectric ceramic piece; and an audio collector for detecting the frequency of environmental noise is additionally arranged. According to the acoustoelectric conversion device and the extractor hood with the acoustoelectric conversion device, the controller can automatically adjust the current in the two electromagnetic coils according to the change of the environment noise frequency, and the Helmholtz resonator moves back and forth under the action of electromagnetic force generated by the electromagnetic coils, so that the length of the resonance space is changed, the effect that the inherent frequency of the one-dimensional vibration system is automatically adjusted along with the change of the environment noise frequency is achieved, and therefore, the piezoelectric ceramic piece can continuously generate higher voltage.

The invention provides a control method and a control device of a magnetic resonance system. The control method comprises the following steps: measuring and recording radio frequency field data; obtaining an amplitude estimation value of the radio frequency field based on the radio frequency field data and a particle swarm algorithm; setting an amplitude control parameter of the radio frequency pulse based on the amplitude estimation value; acquiring a setting instruction of the sequence mode of the radio frequency pulse; and outputting a control signal based on the amplitude control parameter and the setting instruction. According to the configuration, on one hand, actual data of the radio frequency field can be found through measurement, on the other hand, the amplitude estimation value of the radio frequency field can be obtained based on the particle swarm optimization, the influence of noise errors is reduced, and the radio frequency amplitude calibration precision and speed are improved. Therefore, the problem that in the prior art, due to the fact that the field intensity of the radio frequency field is affected by various factors, the expected field intensity is changed, and the imaging effect is affected is solved.

The invention provides a voice data expansion method and system, electronic equipment and a storage medium, and the technical scheme of the method comprises a dialogue design step: designing dialoguecontents in a text form according to a preset scene; a text conversion step: converting the dialogue content into dialogue voice; and an audio mixing step: mixing the dialogue voice with the noise inthe preset scene to obtain analog audio data, and outputting the analog audio data. The problems that an existing voice data expansion method is complex and not high in reliability are solved.

The embodiment of the invention discloses an audio noise reduction method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring an audio to be denoised; obtaining voiceprint features of a user corresponding to the to-be-denoised audio, wherein the voiceprint features are obtained after feature extraction is performed on registered audio of the user; and inputting the to-be-denoised audio and the corresponding voiceprint features into a denoising model to obtain a denoised audio corresponding to the user, the denoising model being used for obtaining the denoised audio corresponding to the user from the to-be-denoised audio according to the voiceprint features. And the noise reduction model finds the audio corresponding to the voiceprint feature from the audio to be subjected to noise reduction in combination with the voiceprint feature of the user, and outputs the audio corresponding to the voiceprint feature, thereby completing noise reduction of the audio to be subjected to noise reduction. The noise-reduced audio of the user corresponding to the voiceprint feature and not containing interference audio of other users and background noise is obtained, and the noise reduction effect on the audio to be subjected to noise reduction of the user is improved.