107 results about "Sound source identification" patented technology

The invention discloses a pressure speed method sound field separation method, a measured sound field is provided with a measuring surface S; a sound pressure sensor is adopted to measure the sound pressure on the measuring surface S, and a particle velocity sensor or a sound intensity probe is adopted to measure the particle speed on the measuring surface S; both sides of the measuring surface S are provided with the imaginary source surfaces S1 <*> and S2 <*> which are provided with the equivalent sources; the transfer relationship between the equivalent sources and the sound pressure and the particle speed on the measuring surface S is constructed; the separation of sound source radiation sound pressure and the particle speed of both sides on the measuring surface according to the transfer relationship is realized; the sound field separation is realized by measuring the speed relation of sound pressure and particle on each surface; and the equivalent source method is adopted as the sound field separation arithmetic, the calculation stability is good, the calculation precision is high, and the implement is simple. The method can be widely applicable to the near-field acoustic holography measurement in the environments of internal sound field or noisy sound, the sound intensity method sound source identification in the noisy environment, the material reflection coefficient measurement, and the separation of the scattering sound field.

A system and method for characterizing, synthesizing, and / or canceling out acoustic signals from inanimate sound sources is disclosed. Propagating wave electromagnetic sensors monitor excitation sources in sound producing systems, such as machines, musical instruments, and various other structures. Acoustical output from these sound producing systems is also monitored. From such information, a transfer function characterizing the sound producing system is generated. From the transfer function, acoustical output from the sound producing system may be synthesized or canceled. The methods disclosed enable accurate calculation of matched transfer functions relating specific excitations to specific acoustical outputs. Knowledge of such signals and functions can be used to effect various sound replication, sound source identification, and sound cancellation applications.

The invention provides a method for obtaining movement sound field video, which is based on regular sound array and binocular vision and belongs to the technical field of noise analysis and control. Firstly, a signalized point is stuck on a moving object to be tested, a microphone array and two video cameras are arranged, and the video cameras are demarcated to obtain a projection matrix; sound pressure signals of a sound source in the moving object to be tested are obtained by the microphone in an array mode, the dynamic video of the moving object to be tested is obtained and disassembled into an image by the video cameras; the signalized point on the moving object to be tested is identified in the video image and the matched signalized point is treated with three-dimension reconstruction to obtain the spatial location of the moving object to be tested; the sound pressure signals are treated with beam forming treatment to obtain a sound field characteristic function scattergram of the moving object to be tested, the video image is treated with spatial coordinate superposition frame by frame and restored into a dynamic video image. The method of the invention causes the measurement and identification of the movement noise to be easy and provides more accurate foundation for further sound source identification and noise reduction work.

A sound direction estimation apparatus includes a sound source model storage unit that stores likelihood of a sound source class in correspondence with a sound feature quantity, a sound signal input unit that receives a sound signal, a sound source identification unit that identifies a sound source class of the sound signal input from the sound signal input unit with reference to the sound source model storage unit based on the sound feature quantity of the sound signal, and a first sound source localization unit that estimates a sound direction of the sound signal of the sound source class identified by the sound source identification unit.

The invention discloses an omni-directional equivalent source sound source identification method based on a solid ball array. The method includes the steps that 1, sound field radiation total sound pressure measured by the solid ball array is acquired; 2, the equivalent source intensity q is calculated on the basis of an iterative weighting algorithm, wherein the solving formula is shown in the description, in the formula, W refers to a weighting matrix which is a reversible matrix with non-zero diagonal elements, and lambda is a regularization parameter; S3, the sound pressure at any positionis reconstructed. The method has the advantages that the sound source positioning precision and the sound field rebuilding performance are excellent at medium and low frequency and large measuring distances.

The invention discloses a rapid acquisition method for a solid sphere sound source identification low-sidelobe ultrahigh-resolution acoustic image. The rapid acquisition method provides an efficient path for rapidly acquiring a clear and clean ultrahigh-resolution sound source imaging image when identifying incoherent sound sources in a three-dimensional space, can quantify sound sources more accurately when compared with a solid sphere function type time delay and summation method, and is of great importance in accurate analysis of a sound source identification result.

The present invention relates to a method and an apparatus for recognizing a sound source. According to the sound source recognition method of the present invention, an acoustic signal is detected by four acoustic sensors arranged in a rectangular shape when viewed in a horizontal direction, an acoustic arrival time is measured, six Interactive Time Differences (ITDs) are generated on the basis of the difference between the acoustic arrival times of the respective sound sensors, and the position of the sound source is estimated on the basis of the six ITDs. In addition, features of the sound source are extracted and classified by using a sum signal from the four acoustic sensors to determine the type of the sound source.

The invention relates to a sound effect optimization method and apparatus, an electronic device and a storage medium. The method comprises the steps of controlling a loudspeaker to play a test audio sent by a first virtual sound source; a sound source identification result is received, the sound source identification result comprises a first position relationship, and the first position relationship is a position relationship between a first virtual sound source estimated through the test audio and a user; and when the first position relationship and the second position relationship are inconsistent, adjusting a sound effect parameter until the first position relationship and the second position relationship are consistent, the second position relationship being an actual position relationship between the first virtual sound source and the user. The authenticity of the sound effect of the electronic equipment can be improved.

The invention provides a noise monitoring method and system based on sound source identification. The method comprises the steps of: S1, collecting environmental sound by a sound collection apparatus;S2, calculating data, such as acoustics and psychoacoustics, of the collected environmental sound by using noise analysis software and a computer control front end and sending the data to a sound source analysis module; S3, based on a sound source neural network model and a noise level classification module in the sound source analysis module, judging the noise level of different noise sources and calculating a noise correction value according to the noise level results; S4, adding the noise correction value and an environmental sound level measurement value to finally obtain a noise sound level; S5, sending the noise sound level back to a terminal control system. The method and the system can reflect the noise sound level and take into consideration the subjective feeling differences caused by different sound sources, thereby being capable of truly reflecting the actual status of noise and solving the problem of inaccurate noise monitoring.