14 results about "Vocal intensity" patented technology

The application discloses an AAC security steganography algorithm and system based on a masking effect. The human ear hearing masking effect can cause some audio signals with low intensity to be masked by signals with high intensity, and there is space for hiding secret information. Therefore, the application analyzes a quantization process of MDCT coefficients in AAC coding, records the masked audio signals as modifiable positions, and combines an STC adaptive steganography framework to realize embedding of secret information. Experimental results show that the algorithm can achieve a maximum embedding capacity of 13.61 kbps, can guarantee auditory concealment of speech, and has good security.

The invention relates to a method and a system for measuring a sound source by measuring sound at a plurality of discrete measurement locations. AUGMENTED REALITY is used in that a camera scans a physical reference mark arranged in space relative to a source; the processing software generates a surface grid forming the measurement surface in the coordinate system and determines a measurement position to be occupied in a real three-dimensional space with reference to the reference mark such that the measurement position lies on the surface grid, the processing software also generates a virtual mark, and the virtual mark is located on the reference mark. And displaying the virtual indicia on a transparent display of a glasses-type presentation device such that the geometric position of the indicia in real space is fixed with reference to a reference mark and is independent of the orientation of the display. Subsequently, during the display of the indicia, sound measurement probes, which are visible through the display, are sequentially manually guided to the location of each virtual indicia, and sound intensity measurements are then performed there, respectively.

The utility model provides a sound acquisition device and AR glasses. The sound acquisition device comprises at least one microphone; the at least one loudspeaker comprises a vibrating diaphragm, a coil and a magnetic piece; when the coil is electrified, the coil moves relative to the magnetic piece to enable the vibrating diaphragm to vibrate, and when the vibrating diaphragm vibrates, the coil moves relative to the magnetic piece to enable the coil to generate an induction electric signal; the control module is connected with the microphone and the loudspeaker, and the control module is used for obtaining a signal output by the microphone, obtaining an induction electric signal generated by the loudspeaker when the sound intensity of the sound intensity signal collected by the microphone corresponding to the environment sound is greater than or equal to a preset sound intensity threshold value, and sending the induction electric signal to the microphone; and converting the induction electric signal generated by the loudspeaker into the first sound data so as to improve the sound data acquisition effect of the sound acquisition device when the sound intensity of the environment sound is too high.

This invention discloses an FPGA implementation method for visual image processing of sound source identification, comprising: 1. Normalizing the sound intensity values ​​obtained from sound source identification and converting them into grayscale values; 2. Obtaining corresponding color pixel values ​​by performing three independent mappings on the grayscale values; 3. Upsampling the low-resolution color acoustic cloud map using an interpolation algorithm to improve the image resolution and form a visual acoustic cloud map that represents sound intensity in color. This invention enables the visual image processing of sound source identification to be implemented on an FPGA in the form of digital circuits, thereby improving the real-time performance of the entire sound source identification process, reducing the hardware complexity of the sound source identification platform, and saving time and hardware costs.

The utility model discloses a mute type composite aluminum plate, relates to the composite aluminum plate technology field, the mute type composite aluminum plate comprises a plurality of base plates and a plurality of mute structures, the plurality of mute structures are respectively arranged between two adjacent base plates, the mute structure comprises a sound insulation layer, a reinforcing layer and a mute assembly which are sequentially arranged from the middle base plate to the other base plate, the sound insulation layer comprises a sound insulation felt arranged on the side face of the middle base plate, and the reinforcing layer comprises rock wool arranged on the side, away from the middle base plate, of the sound insulation layer. The mute assembly comprises a sound absorption layer and a weakening layer which are sequentially arranged from the sound insulation assembly to the direction away from the middle base plate, a containing cavity is formed in the sound absorption layer, and the weakening layer is arranged on the side, away from the middle base plate, of the sound absorption layer. The sound intensity is weakened through the mute assembly, the sound intensity is further weakened in cooperation with the upper reinforcing layer, and finally part of sound waves are reflected through the sound insulation layer.

The application discloses a sound perception-based electronic pet behavior triggering method, and relates to the technical field of intelligent interaction.The method comprises the following steps: collecting environmental sound signals through a microphone array and constructing a sound feature vector, determining sound intensity levels, sound source directions, and user voice classes, environmental event sound classes, and third-party biological sound classes; analyzing different sound classes to obtain user instruction intentions, user emotion labels, and sound event types; dynamically updating in combination with current emotion parameters and energy parameters of the electronic pet; generating priority behavior instructions based on the above information and sending the priority behavior instructions to an action execution module; and monitoring the short-term energy of the electronic pet in real time during the execution process and performing self-noise control.The technical problems of single sound processing, rigid state updating, serious self-noise interference, and lack of continuity of behavior response in the life state of the existing electronic pet are solved.

The application provides a three-dimensional virtual surround sound generation method and generation system, and relates to the field of surround sound. The application adopts an excellent structure of a howling elimination technology to eliminate howling, enhance spatial positioning and speech clarity. Reflection sound is constructed by infinite N-level echo simulation to construct a surround sound channel, so that the generated surround sound has more distant background sound, thereby making the virtual surround sound have strong spatial sense, distance sense, diffusivity and surrounding sense, rather than just positioning sense. A post sound channel is constructed by inversely superimposing the delayed signal on the direct signal, so that the spatial sense of the surround sound is obviously enhanced, and the sound seems to come from all directions. The original sound bass is preserved by separation technology, and the virtual sound in each direction is freely controlled, thereby controlling the sound intensity, tone brightness and tone softness.

The invention discloses a light intelligent control method and system based on sound change, and relates to the technical field of light intelligent control, and the method comprises the steps: obtaining an environment sound signal containing a sound pressure level time sequence in a target sound field region; importing the voiceprint data into a voiceprint feature analysis engine, constructing a time pane matrix which stretches and retracts along with the sound intensity, and generating a voiceprint energy streamline; capturing a slope abrupt change event of the voiceprint energy streamline, and extracting an acoustic disturbance feature packet; the feature packet drives a brightness controller to output a light intensity compensation deformation instruction, compensation deformation is applied to a time pane matrix, and new voiceprint energy streamline distribution is generated; and identifying the steady-state voiceprint channel and mapping the steady-state voiceprint channel into a target illumination value instruction and a color temperature offset According to the method, accurate adaptation of lamplight and sound changes can be realized, and the continuity and stability of lamplight control are improved.

The invention provides a dynamic audio-visual navigation method based on intensity calibration geometric coding and cross-modal scene aggregation. The dynamic audio-visual navigation method is suitable for application scenes such as service robots, security inspection and virtual reality interaction. According to the method, a depth visual image and a binaural spectrogram serve as input, firstly, a sound intensity map and depth geometric information are explicitly fused through an intensity calibration geometric encoder, and physical-space correlation across sound categories is modeled; then, a cross-modal scene aggregator is utilized to convert the multiple groups of spatial features into a Token sequence, fine-grained and content-aware multi-modal dynamic fusion is realized through Transform, and global state representation rich in reasoning ability is generated; and finally, training a navigation strategy of time sequence perception under a near-end strategy optimization framework based on the representation, and outputting a tracking action sequence aiming at the mobile sound source. According to the method, the navigation success rate and the path efficiency are remarkably improved under the conditions of a mobile sound source and unknown sound, and the generalization ability and the decision robustness of the system in a dynamic environment are enhanced.

The application discloses a snoring sound detection method and device, the method comprising: acquiring a human body sensing signal and an audio signal; determining a device usage state and an audio feature based on the human body sensing signal and the audio signal; selecting a corresponding feature combination based on the human body sensing signal, the device usage state and the audio feature, and inputting the corresponding feature combination into a preset snoring sound detection model for snoring sound detection to determine a current snoring sound state; if the current snoring sound state is determined, determining an initial snoring sound attribution probability based on a preset sound intensity coefficient reference table, a sound phase coefficient reference table and the audio feature, and performing weighted summation on the initial snoring sound attribution probability and the device usage state to determine a final snoring sound attribution result. The application effectively solves the technical defects that snoring sound attribution cannot be determined, detection accuracy is insufficient, and there is a lack of scientific benchmark reference system and probability calculation logic in the process of snoring sound detection in a multi-person cohabitation scene, and effectively improves detection and attribution judgment accuracy.

This application provides a channel configuration method, electronic device, and system, relating to the field of terminal technology. The technical solution provided in this application allows a first electronic device to adaptively configure a channel based on the sound intensity of a first sound and the second sound intensity reported by a second electronic device, simplifying user operation and improving user experience. The method includes: the first electronic device detecting the user's channel configuration operation, collecting sound and determining the first sound intensity, and then determining the target channel in the channel to be configured based on the first sound intensity; receiving at least one second sound intensity sent by one or more second electronic devices, and determining the target device in the second electronic device based on the second sound intensity; and then matching the determined target channel and target device to complete the channel configuration.

A kind of intelligent fan control method of real-time wind pressure monitoring, method includes the following steps: providing a range hood and frying pan, the range hood is located frying pan, and range hood is equipped with two sound detection modules, range hood is also equipped with image acquisition module;Range hood runs at initial speed;Two sound detection modules simultaneously real-time obtain the sound characteristics emitted in the frying pan, and obtain the sound intensity A1 of the farthest frying pan in the fried food from image acquisition module according to sound characteristics;According to sound intensity A1, the degree of food frying is inferred, to determine the first frying position;Image acquisition module collects the edge image information of frying pan after being obscured by oil smoke;Inference oil smoke concentration N1 above frying pan according to the edge image information collected, to determine the second frying position;Compare first frying position and second frying position to determine actual frying position;According to actual frying position, adjust the range of range hood and fan speed.

The invention discloses a virtual concert band layout method, device and equipment and a storage medium, and relates to the technical field of virtual reality. The method comprises: acquiring an original music file; extracting musical instrument types in the original music file and note sound intensities of different musical instruments in the left audio track and the right audio track; respectively calculating the average sound intensity of the musical instruments on the left audio track and the right audio track according to the note sound intensity of the different musical instruments on the left audio track and the right audio track, and determining the placement area of a virtual musician corresponding to the musical instruments according to the average sound intensity of the left audio track and the right audio track; sorting the musical instruments with the same placement area according to the preset sound production frequency of each musical instrument, and determining the placement position of the corresponding virtual musician in the placement area according to the sorting result; and generating a band layout of the virtual concert according to the placement area and the placement position of the virtual musician. According to the band layout provided by the embodiment of the invention, a corresponding relationship between vision and hearing is established, and the presence and reality of the virtual concert are improved.

The application provides an air conditioner and an energy-saving control method thereof. The air conditioner comprises a controller configured to receive a voice control instruction or receive light intensity and sound intensity; control the air conditioner to operate in a sleep state or operate in a non-sleep state; obtain a first running time stage, a first light intensity, a first sound intensity and a first running duration of the air conditioner in the sleep state, control the compressor to operate at a first preset frequency, or operate at a second preset frequency, or stop; and obtain a second running time stage, a second light intensity, a second sound intensity and a second running duration of the air conditioner in the non-sleep state, control the compressor to operate at the first preset frequency, or operate at the second preset frequency, or stop. The application realizes accurate control of the air conditioner on the sleep scene, avoids power consumption caused by the air conditioner entering the sleep state and the background light being turned off, does not need to increase hardware cost, and improves user experience.