104 results about "Sound separation" patented technology

A system and method for noise cancellation is disclosed herein generally having at least one microphone, a processor, and a speaker array. The processor may contain an adaptive filtering feature, to separate desirable sound from undesirable sound. The undesirable sound may be suppressed by the processor by creating a canceling waveform and transmitting the canceling waveform to the user's head via a speaker array. The desirable sound may be enhanced by increasing the amplitude of the waveform and transmitting the amplified waveform to the user's head via a speaker array. The sound transmitted to the user's head by the system may be localized using an image tracking subsystem and speaker array. The image tracking system may track the actual visible image or alternatively a heat (e.g. infrared) image of the user's head.

A loudspeaker configuration capable of generating stereophonic sound separation from relatively loudspeaker drivers that are not necessarily widely separated. For example, such a loudspeaker configuration can be used to generate relatively good sound separation from a single chassis, such as a single speaker box, a boom box, a clock radio or the like. This can advantageously save space in many environments. One embodiment uses four mid-tweeter speaker drivers and a bass driver. The four mid-tweeter speaker drivers are arranged facing outward approximately 90 degrees apart from each other. A speaker driver facing the listener reproduces a mid channel signal, for example, L+R. A speaker driver facing away from the listener reproduces the same mid channel signal or a delayed version of the mid channel signal. A left facing speaker reproduces a side channel, for example, L−R. A right facing speaker reproduces a side channel, for example, R−L. The acoustic combination of the sound produced by the four speaker drivers creates a virtual left and right loudspeaker as experienced by the listener.

The present invention is directed to providing a sound field reproduction system that can enhance the sound separation between the front and rear seats or left and right seats of a vehicle. The sound field reproduction system includes a control unit for creating a first sound signal and a second sound signal from one or a plurality of sources, a narrow-directional speaker mounted on the front seat side of the vehicle, a speaker mounted on the rear seat side of the vehicle, and a signal processing unit for driving the narrow-directional speaker based on the first sound signal that has been processed according to frequency range, and for driving the speaker based on the second sound signal.

The invention discloses an electromagnetic excitation energy converter, a laser projection optical sound screen, and a synchronous display method thereof, and relates to the technical field of the image display and the acoustics. A hard or flexible laser projection optical screen is used as display and sound production of a sound production component, the electromagnetic excitation energy converter is used for pushing the screen or an auxiliary sound production board to vibrate the same, thereby forming an acoustic output; a low pitch enhancing unit, a middle pitch enhancing unit and high pitch enhancing unit are further provided, and the graceful tone quality capable of covering the full frequency bands can be played through the processing of a power amplifier and a frequency divider; andthe sound-picture synchronization technology can be achieved through a specific algorithm and software processing. Through the scheme disclosed by the invention, the vibration amplitude of the screencan be controlled to be imperceptible by the human eye while the screen is vibrated to excite the sound production, thereby guaranteeing that the display picture cannot be interfered, and a laser projection optical sound screen system scheme capable of displaying excellent picture and playing the beautiful sound is formed, the problem that the traditional box type sound group is large in volume,inconvenient for use, and separated in picture display and sound is solved, and the audio visual experience demand of the user is satisfied.

The invention discloses a music separation method of an MFCC (Mel Frequency Cepstrum Coefficient)-multi-repetition model in combination with an HPSS (High Performance Storage System), and relates to the technical field of signal processing. In consideration of high probability of ignore of a gentle sound source and time-varying change characteristic of music, the sound source type is analyzed through a harmonic/percussive sound separation (HPSS) method to separate out a harmonic source, then MFCC characteristic parameters of the remaining sound sources are extracted, and similar operation is performed on the sound sources to construct a similar matrix so as to establish a multi-repetition structural model of the sound source suitable for tune transformation, so that a mask matrix is obtained, and finally the time domain waveform of a song and background music is obtained through ideal binary mask (IBM) and fourier inversion. According to the method, effective separation can be performed on different types of sound source signals, so the separation precision is improved; meanwhile the method is low in complexity, high in processing speed and higher in stability, and has broad application prospect in the fields such as singer retrieval, song retrieval, melody extraction and voice recognition in a musical instrument background.

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.

The invention provides a method for sound field separation by double plane vibration speed measurement and two dimensional space Fourier transform, which is characterized in that a measurement plane S1 and an auxiliary measurement plane S2 parallel therewith and Delta h away therefrom are disposed in the measurement sound field; normal direction particle vibration speed is measured on two planes; wave number domain transfer relationship between normal direction particle vibration speed on two measurement planes is established by the two dimensional space Fourier transform; sound pressure, normal direction particle vibration speed radiated by sound sources on both sides of the two measurement planes is separated according to the transferring relation. The method adopts two dimensional space Fourier transform as the sound field separation algorithm, making computation speed fast, and implementation simple; normal direction particle vibration speed on two measurement plane is used as the input for separation, so that the separated normal direction particle vibration speed has higher accuracy comparing with using sound pressure on two measurement planes as the input. The method can be widely applied for near-field acoustic holographic measurement under internal sound field or noise environment, material reflection coefficient measurement, scattering sound field separation.

The invention discloses a method for separating a speed changer knocking structure noise and an air noise based on a transmission path. The method comprises the following steps: knocking noise acquisition under an acceleration condition, a finished automobile sound transmission function test and knocking air radiation sound and structure transmission sound separation. By using the method, sizes of the structure noise and the air noise in the speed changer knocking noise transmitted to the automobile can be objectively and accurately separated.

The invention discloses a sound separation method, which comprises the following steps of: dividing an original audio and video sample into a plurality of audio and video segments, and extracting a video stream and an audio stream of each audio and video segment; determining face features in the video stream of each audio and video segment; obtaining audio features in the audio stream of each audio/video segment by using an audio conversion compression method; combining the face features and the audio features of each audio and video segment to generate audio-visual features of each audio and video segment; taking the audio-visual characteristics of each audio-video segment as the input of a sound separation model, and training the sound separation model to obtain a trained sound separation model; and taking the target audio and video data as input of the trained sound separation model, and outputting audio data of a person in the target audio and video data. The invention further provides a sound separation device and a computer readable storage medium. According to the invention, the accurate mapping of the sound and the speaker can be realized, and the voice separation quality is obviously improved.

There is provided a sound processing apparatus including an input correction unit that corrects a difference between characteristics of a first input sound input from a first input apparatus and characteristics of a second input sound input from a second input apparatus, a sound separation unit that separates the first input sound corrected by the input correction unit and the second input sound into a plurality of sounds, 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.

The invention designs a device for realizing acoustic agglomeration emission reduction of fine particles in high-flow flue gas of a burning energy system. The device comprises a high-pressure gas flow source, a high-pressure gas mixing chamber, gas flow sound sources, a horn, a coupling cabin, an agglomeration cabin, an extended cabin, a movable end surface, a conventional dust remover, a data sensing control part, a central measurement and control computer, a sound elimination part and a sound insulation part. According to the device, the three high-power gas flow sound sources are matched with a variable-section pipeline by fully utilizing the principle that the acoustic agglomeration efficiency is sharply improved along with the increment of the sound pressure level; a barrier structure and a gas-sound separation part are introduced, so that the fine particles are quickly agglomerated in the large-size agglomeration cabin under the action of a high-strength and low-harmonic-component planar standing wave sound field; running parameters are adjusted and optimized in a unified manner by virtue of the measurement and control computer; the best transmission efficiency of strong sound waves from generating to acting is realized and the characteristic change of the fine particles is adapted; the whole realization scheme has the advantages of emission reduction efficiency, economical efficiency, applicability, no pollution, extendability and the like.

In a source sound separator, first and second target sound predominant spectra are generated respectively by first and second processing operations for linear combination for emphasizing the target sound, using received sound signals of two microphones arrayed at a distance from each other. A target sound suppressed spectrum is generated by processing for linear combination for suppression of the target sound, using the two received sound signals. Further, a phase signal containing a larger amount of signal components of the target sound and exhibiting directivity in the direction of the target sound is generated by processing of linear combination, using the two received sound signals. The target sound and the interfering sound are separated from each other using the first and second target sound predominant spectra, the target sound suppressed spectrum, and the phase signal.

An object sound extraction apparatus includes sound source separation sections for separating and generating an object sound separation signal corresponding to an object sound and reference sound separation signals corresponding to the other reference sound based on each combination of a main acoustic signal and sub acoustic signals, an object sound separation signal synthesis section for synthesizing the object sound separation signals, and a spectrum subtraction processing section for extracting an acoustic signal corresponding to the object sound from the synthesis signal by performing a spectrum subtraction processing between the synthesis signal and the reference sound separation signals. Accordingly, in acoustic environments where the object sound and the noises are mixed in the acoustic signals obtained via the microphones, and the mixed conditions can vary, a high object sound extraction performance can be ensured by a small object sound extraction apparatus.

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.

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.

The invention relates to an ultrasonic Doppler poly-phase flow velocity distribution detecting device, which is used to measure the flow velocity distribution of the cross section of the fluid inside a to-be-detected pipeline. The device comprises an ultrasonic sensor array and an ultrasonic signal generating and detecting unit. The ultrasonic sensor array consists of a plurality of ultrasonic probes distributed uniformly on the positions of the same cross section of the to-be-detected pipeline and each ultrasonic probe is structured by two ultrasonic transducers with sound wedge. Between the two ultrasonic transducers, a sound separation layer is placed to isolate sounds. One of the ultrasonic transducers serves as an ultrasonic emission transducer and is fixedly arranged on the surface of the transparent wedge in parallel to the axial direction of the pipeline while the other serves as an ultrasonic reception transducer and is fixedly inclined on the surface of the transparent wedge of the axial direction of the pipeline. When the device measures, in a certain order, the emission transducers in the ultrasonic probes are excited in succession, and under each excitation, all the reception transducers receive the ultrasonic echo signals at the same time, and under the same cross section and through multi-direction excitation, the multi-direction synthesized ultrasonic Doppler frequency shift projection information about the flow velocity of the fluid inside the testing pipeline can be obtained.

The invention discloses granite waste stone dust foam ceramics comprising the following components by the weight percentage: 70.0-85.0% of granite waste, 2.0-8.0% of china clay tailings, 4.0-14.5% ofwaste ceramic powder, 3.0-10.0% of clay, and 0.5-3.0% of a high-temperature foaming agent; the invention also discloses a preparation method of the granite waste stone dust foam ceramics. The preparation method has the advantages of simple process and low production cost; the prepared foam ceramics have the advantages of small density, low heat conductivity coefficient and high strength, and alsohave remarkable and excellent performance of aging resistance, corrosion resistance, heat insulation and heat preservation, sound separation and absorption, water resistance and fire prevention, and green and environmental protection, and are suitable for the field of building heat preservation; the mixture can be directly put in a refractory material mould and then is sent into a high temperaturefurnace and calcined, and the granite waste stone dust foam ceramics are prepared; the forming process is simplified, the work efficiency is improved, and the granite waste stone dust foam ceramics are suitable for mass production.

The invention provides a method for separating a sound source from a video. The method is composed of a training stage and a testing stage. According to the method, the method includes constructing asound source separation model composed of a visual target detection network, a sound feature extraction network and a sound separation network in a training stage; and selecting two different types ofvideos from the training data to mix the audios of the videos, and training a sound source separation model to enable the sound source separation model to accurately separate original audios corresponding to the two videos from the mixed audio. And in the testing stage, a test video is acquired and then input into the trained sound source separation model, the model detects all visual targets inthe video, and sounds corresponding to the visual targets are separated from the original audio. According to the invention, the sound source can be separated from the target object level, all targetobjects appearing in the video can be detected and automatically matched with the separated corresponding sound, the relation between each visual target object and the separated sound is established,and the application prospect is wide.

The embodiment of the invention discloses a method and device of processing face images, comprising: converting a pending image into an HSV color space from an RGB color space; obtaining the skin color area of the pending image according to the H component threshold in the HSV color space; converting the HSV color space into a skin color likelihood image, and performing binary segmentation on the skin color likelihood image; obtaining a face candidate image having a skin color area and a non skin color area separated according to the skin color likelihood image after binary segmentation and the skin color area of the pending image; and marking the skin color area in the face candidate image. The method and device utilize the chroma, brightness and saturation in the HSV color space to perform sound separation, realize less overlapping between skin color points and non skin color points, and improve detection precision; in addition, the method and device utilize an H-SGM skin color model to eliminate the interference of the non skin color area and most background area, and divide a candidate face area so as to realize high face detection precision and less misdetection.

There is provided a sound source separation method of carrying out sound source separation of an audio signal inputted from an input device by using a modeled sound source distribution, by an information processing apparatus provided with a processing device, a storage device, the input device, and an output device. In this method, as a condition followed by the model, sound sources are independent of one another, powers which the sound sources have are modeled for each of frequency bands obtained through band division, a relationship among the powers for the frequency bands different from each other is modeled by nonnegative matrix factorization, and components obtained through the division of the sound source follow a complex normal distribution.

To shorten an output delay while a high sound source separation performance is ensured when a sound separation process based on an ICA method is performed. A second Fourier transform process execution cycle t2 for obtaining a second frequency-domain signal S1 used as an input signal of a filter process is set shorter than a first Fourier transform process execution cycle t1 for obtaining a first frequency-domain signal used for a learning computation of a separating matrix. When the time length of a second time-domain signal S1 is set shorter than a time length of a first time-domain signal S0, a second separating matrix used for a filter process is set by aggregating matrix components of a first separating matrix obtained through a learning calculation for every a plurality of groups.