58 results about "Acoustic voice analysis" patented technology

The invention relates to the technical field of health monitoring, in particular to a health monitoring system based on wearable equipment, which comprises a data acquisition module, a health data analysis module, an emotion and sound analysis module and a health prediction feedback module. According to the health monitoring system, the prediction accuracy of the health monitoring system is effectively improved by combining time sequence analysis with a processing strategy of environmental factors, and more accurate health condition early warning, disease prevention and management strategy optimization and emotion and sound analysis integration are provided by comprehensively analyzing long-term health data and real-time environmental changes of the user, so that the user experience is improved. The emotion change is clarified through acoustic feature analysis, the understanding of the emotion state of the user is improved, the health monitoring dimension is enhanced, the participation degree and satisfaction degree of the user are improved through personalized health suggestion and real-time feedback, the practicability and effectiveness of the system are enhanced, and health management is more accurate and has interactivity.

The invention relates to the technical field of atmosphere lamp control, and discloses an audio analysis control method of a pickup atmosphere lamp and an atmosphere lamp thereof.The audio analysis control method of the pickup atmosphere lamp comprises the steps that the atmosphere lamp collects sound through a built-in sound receiving part, and the sound collected by the sound receiving part comprises music, music, music, music, music and the like; the sound is analyzed and processed through audio analysis, the audio analysis comprises sound preprocessing, the preprocessed sound is subjected to time domain feature extraction and frequency domain feature extraction to obtain the energy ratio of each frequency band of the sound, and each frequency band comprises a high-energy frequency band and a low-energy frequency band; and performing moving average filtering on the low-frequency-band energy to generate an energy envelope line. According to the invention, collected music signals are processed in real time through audio analysis, and information such as rhythm, frequency and intensity of music is extracted. The audio analysis technology ensures that light can be highly synchronized with music, and the user experience is improved.

The invention discloses a spatial audio system, an audio processor and a virtual surround sound conversion method for stereo loudspeaker playing equipment. The method for converting spatial audio into virtual surround sound on the premise of not increasing the number of sound channels comprises the following steps: receiving initial audio stream data; performing space rendering operation, namely presetting a virtual space, and setting the orientation of a virtual ear in the virtual space; simulating sound propagation of the audio in the virtual space by using an HRTF algorithm, and simulating sound received by ears and propagated in the virtual space; analyzing the sound difference received by the left and right ears; estimating the position of the virtual sound source in the virtual space according to the sound difference received by the left and right ears; after spatial rendering is completed, the audio is recoded into a virtual surround sound audio containing spatial position information. By simulating the sound field and the environmental response, the user can feel the positioning and environmental feeling of the audio source in the virtual space, and the immersion and reality of the audio experience are enhanced.

The invention relates to the technical field of intelligent fire protection, and discloses an intelligent fire protection early warning system and an early warning method. The method comprises the following steps: acquiring environment data based on various sensors to generate a fire early warning data set, filtering abnormal data by using a preprocessing algorithm, performing multi-level confirmation on fire features through an image analysis module and a sound analysis module, finally generating a fire confirmation signal, triggering an alarm system and activating fire fighting equipment. In the prior art, a fire hazard early warning method only depends on a single sensor or a single data source, and especially under a complex and changeable environment condition, efficient and accurate fire hazard early warning cannot be realized. Due to the fact that multi-dimensional and intelligent fire detection is achieved through multi-source data fusion, convolutional neural network image recognition and fast Fourier transform sound analysis, the problem of false alarm or missing alarm caused by instability of a single data source is effectively avoided, and the accuracy and response speed of fire early warning are improved.

The invention discloses a transformer state monitoring method and system based on voiceprint perception and a medium, and the method comprises the following steps: collecting a sound wave signal and a vibration signal of a transformer, carrying out the preprocessing of the collected signals, and carrying out the feature extraction; converting the obtained signal into frequency domain information, and detecting and marking an abnormal value in the signal; the method comprises the following steps: constructing a T-Manba model, and training the Mamba model by using known signal data of a transformer in a normal operation state; and inputting the obtained data into the trained Mamba model, and identifying the abnormal state of the transformer. According to the invention, real-time monitoring and diagnosis of the operation state of the transformer are realized through sound analysis, automation and intelligentization of state monitoring of the transformer are realized, and real-time and accurate monitoring and diagnosis of the operation state of the transformer are provided.

An example system for detecting stroke includes an imaging device; a microphone; and a computing device. The computing device is configured to receive a sequence of images capturing a state of a patient; analyze the sequence of images to detect one or more of limb impairment, gaze impairment, or facial palsy; and assign a respective numeric score to each of the detected one or more limb impairment, gaze impairment, or facial palsy. The computing device is also configured to receive an audio signal capturing a voice of the patient; analyze the audio signal to detect aphasia or agnosia; assign a respective numeric score to the detected aphasia or agnosia. The computing device is further configured to generate a stroke score, which is a sum of the respective numeric scores for the detected one or more of limb impairment, gaze impairment, or facial palsy and the detected aphasia or agnosia.

The present invention assists a report receiver in swiftly and exactly handling an event. A specification unit specifies, in an input sound signal, a non-voice time in which a reporter who reports the occurrence of the event does not speak, an identification unit identifies a sound source at the occurrence site of the event by analyzing the sound signal in the non-voice time, and a prediction unit predicts a sound scene at the occurrence site of the event on the basis of the identified sound source.

An electronic device may monitor, using a microphone, feeding sounds associated with an individual. Then, the electronic device may analyze the monitored feeding sounds, where the analysis uses a time-series shotgun sequencing technique. Next, the electronic device may detect, using a pretrained predictive model, a potential aerodigestive disorder based at least in part on the analyzed monitored feeding sounds. Note that the analyzed monitored feeding sounds may correspond to suck-swallow-breathe (SSB) coordination. Alternatively or additionally, the analyzed monitored feeding sounds may correspond to aspiration or dysfunctional phases of swallowing.

The present invention relates to a method and system for analysing audio (eg. music) tracks. A predictive model of the neuro-physiological functioning and response to sounds by one or more of the human lower cortical, limbic and subcortical regions in the brain is described. Sounds are analysed so that appropriate sounds can be selected and played to a listener in order to stimulate and / or manipulate neuro-physiological arousal in that listener. The method and system are particularly applicable to applications harnessing a biofeedback resource.

A machine learning based patient voice monitoring and analysis system can reduce the need for patient hospitalization by early detection and treatment of health conditions such as acute decompensated heart failure.

The invention relates to the technical field of English phoneme personalized correction systems, in particular to an English phoneme personalized correction system and method based on acoustic feature analysis. Comprising a learner identity recognition module, a learner pronunciation information input module, a learner pronunciation information analysis module, a learner pronunciation difficulty point evaluation module, a learner personalized correction strategy generation module, a learner pronunciation difficulty correction module, a voice model evaluation module and a learning effect feedback module which are connected in sequence. According to the technical scheme of the invention, voice learners are served from multiple angles and in all directions from links such as information acquisition, problem diagnosis, strategy making, process monitoring and effect evaluation, and a set of intelligent and personalized voice learning solution is provided for the learners through innovative fusion of acoustic voice analysis and artificial intelligence technology. The method is of great significance in improving the voice level of English learners and promoting cross-cultural communication.

A system for analyzing vascular sound has a data acquiring module, a feature extraction module, and a feature analyzing module. The data acquiring module is used to acquire audio data from an individual. The feature extraction module is used to extract an audio feature from the audio data. The feature analyzing module is used to analyze the audio feature and to output an abnormality classification of a vascular sound corresponding to the audio data according to an analyze result of the audio feature.

An object of the system according to the embodiment is to collect and analyze voices and sounds of children in a classroom and report the voices and sounds to a guardian.SOLUTION: A system includes a voice collection unit, an analysis unit, and a report unit. The voice collection unit collects voices or voices of children in the classroom. The analysis unit analyzes the voice data collected by the voice collection unit. The reporting unit reports a result analyzed by the analysis unit to the protector.SELECTED DRAWING: Figure 1

A gesture and voice-controlled interface device comprising one or a plurality of gesture sensors for sensing gestures of a user; one or a plurality of audio sensors for sensing sounds made by the user, and a processor configured to obtain one or a plurality of sensed gestures from said one or a plurality of gesture sensors and to obtain one or a plurality of sensed sounds from said one or a plurality of audio sensors, to analyze the sensed gesture and sensed sounds to identify an input from the user, and to generate an output signal corresponding to the input to a controlled device

An object of a system according to an embodiment is to enable a hearing-impaired person to recognize a siren sound of an emergency vehicle during driving and to drive safely.SOLUTION: A system according to an embodiment includes a siren sound analysis unit, a sign language video display unit, and an in-vehicle system cooperation unit. The siren sound analysis unit analyzes a siren sound. The sign language animation display part displays the sign language animation on the basis of the information of the siren sound analyzed by the siren sound analysis part. The on-vehicle system cooperation unit transmits information of the sign language animation displayed by the sign language animation display unit to the on-vehicle system.SELECTED DRAWING: Figure 1

The invention relates to the technical field of image recognition, in particular to a weak current engineering safety monitoring system, which remarkably improves the accuracy of face recognition of a worker in a weak current engineering environment by introducing a dynamic brightness threshold and a skin color compensation mechanism. The system can monitor and adjust the illumination condition in real time, and ensures that people with different skin colors can be accurately identified in various complex illumination environments. In addition, the system also has an intelligent warning function, so that unauthorized personnel are effectively prevented from entering a specific area, and on-site safety management is enhanced. Meanwhile, the integrated sound analysis module further improves the response speed and accuracy of the system, so that the whole monitoring process is more efficient and reliable. The technical defects of a traditional monitoring system are overcome, and a safer and more efficient solution is provided for weak current engineering construction.

The invention belongs to the technical field of vehicle safety control, and particularly relates to a method for realizing glass smashing event detection by using a 4G recorder, after parking, a millimeter wave radar detects objects around a vehicle through periodic scanning, and determines whether to wake up other systems to enter a working state; the automobile data recorder detects whether a person in the video frame has a glass smashing behavior or not through a target detection algorithm; meanwhile, sound analysis is used for assisting judgment; the change of a three-dimensional space is measured through an acceleration sensor to capture physical impact or vibration; through data fusion, a comprehensive score or confidence is calculated to determine whether to send an alarm signal. According to the technical scheme, after the glass smashing event is accurately detected, real-time local alarm is achieved through the built-in alarm system, meanwhile, a 4G network is used for notifying a message of the glass smashing event to a vehicle owner app, a video is automatically uploaded to a cloud end for storage, loss of the evidence obtaining video is prevented, and the property loss of a vehicle owner is reduced to the maximum extent.

The invention relates to the technical field of medical data processing, in particular to an information tracking and recording system for nursing in a pediatric hospital, and the system comprises an obtaining module which is used for obtaining sound curve information; the determination module is used for determining the possibility that the target user does not produce sound in the current sound analysis window of the collector; the determination module is also used for determining a sound analysis window to be determined; the determination module is also used for determining whether the sound signal is a noise signal; the fitting module is used for fitting the noise signals of the collectors to obtain a noise signal curve in a non-sounding period; the correction module is used for correcting the average sound curve information of the target user at each moment to obtain a corrected sound curve; and the recognition module is used for inputting the corrected sound curve into a recognition model to recognize the physiological needs of the target user. Therefore, the sound noise reduction effect of the child patient is improved, and the physiological needs of the child patient are accurately and effectively recognized.

The system according to the embodiment aims to analyze the sounds made by animals and understand their intentions and emotions. [Solution] A system according to an embodiment includes a collection unit, an analysis unit, and a generation unit. The collection unit collects animal sounds. The analysis unit analyzes the sounds collected by the collection unit to analyze the animal's intentions and emotions. The generation unit generates a response based on the analysis results obtained by the analysis unit.

The system according to this embodiment aims to enable users with poor articulation to communicate effectively using their own voice. [Solution] The system according to the embodiment comprises a collection unit, an analysis unit, a generation unit, a provision unit, and a training unit. The collection unit collects the user's voice. The analysis unit analyzes the voice collected by the collection unit and trains the generation AI. The generation unit performs reading aloud or transcription in its own voice based on the data analyzed by the analysis unit. The provision unit provides the voice and transcription generated by the generation unit to the user. The training unit performs articulation improvement training based on the data generated by the generation unit.

The present invention relates to the technical field of atmosphere lamp control, and discloses an audio analysis control method for a sound-collecting atmosphere lamp and an atmosphere lamp thereof, wherein the audio analysis control method for a sound-collecting atmosphere lamp comprises the atmosphere lamp collecting sound through a built-in sound receiving component, the sound collected by the sound receiving component includes music, the sound is analyzed and processed through audio analysis, the audio analysis comprises pre-processing the sound, and extracting the energy proportion of each frequency band of the sound by extracting the time domain features and the frequency domain features of the pre-processed sound, each of which includes a high-energy frequency band and a low-energy frequency band, and performing a moving average filter on the energy of the low-frequency band to generate an energy envelope. The present invention processes the collected music signal in real time through audio analysis to extract information such as the rhythm, frequency and intensity of the music. Audio analysis technology ensures that the lights can be highly synchronized with the music, thereby improving the user experience.

A computer-implemented method and computer program product for capturing sounds caused by a user of a vehicle and transmitting corresponding sounds over speakers of the vehicle. The method includes the steps of: (a) connecting a software application to a vehicle network; (b) capturing a user-generated sound caused by an impact of the user on a component of a vehicle interior; (c) analyzing the captured user-generated sound and associating the user-generated sound with a recorded drum sound; and (d) playing the recorded drum sound over the speakers of the vehicle. The computer program is configured to perform the aforementioned steps.

The system according to the embodiment aims to analyze the voice of an infant and facilitate smooth communication between family members. [Solution] A system according to an embodiment includes a collection unit, an analysis unit, an output unit, a display unit, an audio output unit, and a learning unit. The collection unit collects the voice of an infant. The analysis unit analyzes the voice collected by the collection unit. The output unit outputs the results of the analysis by the analysis unit. The display unit displays the results of the analysis by the analysis unit. The audio output unit outputs the results of the analysis by the analysis unit as audio. The learning unit learns new voice collected by the collection unit.

The invention discloses an acoustic detection system for non-disassembly of a railway wheel set bearing in a warehouse. The invention further discloses an acoustic detection method for the non-disassembly of the railway wheel set bearing in the warehouse. According to the invention, the wheel set operation sound is picked up; and a detection result is analyzed and output for a worker to judge whether the wheel set has defects or not (the wheel set is accelerated by means of a wheel set running-in machine, a proper distance is kept for the wheel set to be detected through a high-precision microphone sensor to collect sound signals, a wheel set bearing acoustic comparison oscillogram is generated, and the detector can judge whether bearing defects exist or not through the oscillogram). According to the invention, automation and intellectualization of the railway wheel set bearing maintenance process are realized, the operation safety is improved, the upgrading transformation process is accelerated, and the problems of misjudgment and missed judgment caused by strong subjectivity of existing manual detection are solved.

Systems and methods to translate a spoken command to a selection sequence are disclosed. Exemplary implementations may: obtain audio information representing sounds captured by a client computing platform; analyze the sounds to determine spoken terms; determine whether the spoken terms include one or more of the terms that are correlated with the commands; responsive to determining that the spoken terms are terms that are correlated with a particular command stored in the electronic storage, perform a set of operations that correspond to the particular command; responsive to determine that the spoken terms are not the terms correlated with the commands stored in the electronic storage, determining a selection sequence that causes a result subsequent to the analysis of the sounds; correlate the spoken terms with the selection sequence; store the correlation of the spoken terms with the selection sequence; and perform the selection sequence to cause the result.

The invention belongs to the technical field of video monitoring, and particularly relates to an AI-based video monitoring system, which comprises a monitoring module used for shooting an environment to be monitored; the image analysis module is used for carrying out dangerous action analysis on the content shot by the monitoring module, and if the dangerous action is contained, the person forming the dangerous action is locked; the sound analysis module is used for performing language and voice analysis on the content shot by the monitoring module, and if the dangerous voice is contained, the person forming the dangerous voice is locked; and the control module is used for controlling the monitoring module according to the figure locked by the action analysis module and the figure locked by the sound analysis module to realize tracking monitoring. The sound analysis module used for performing language and voice analysis on the content shot by the monitoring module is arranged, so that when voice recognition is performed, the voice recognition efficiency is improved, and the voice recognition efficiency is improved. The identification accuracy of the AI-based video monitoring system can be improved.

Provided are an electronic device for analyzing and searching for a photo on the basis of a sound, and an operation method therefor. The electronic device may: acquire a sound signal by means of a microphone for a preset time before and after a time point at which a photo is captured by using a camera; input a feature vector extracted from the sound signal to an artificial neural network model; acquire at least one type of emotion or taste pertaining to the sound signal by analyzing the feature vector by using the artificial neural network model; and store the at least one type of emotion or taste as metadata for the photo captured by using the camera.

The utility model discloses a double-roller crusher in the technical field of crusher equipment, and aims to solve the problems that the safety risk coefficient of the double-roller crusher in the prior art is relatively high, and the double-roller crusher is inconvenient to suddenly stop when an accident occurs. The crushing device comprises a first mounting bracket, a second mounting bracket, a second driving device, a controller and a sound analyzer, the first crushing roller can be close to or far away from the second crushing roller, a microphone is mounted on the first mounting bracket and / or the second mounting bracket, the microphone is electrically connected with the sound analyzer, and the sound analyzer is electrically connected with the controller. The analyzer, the first driving device and the second driving device are electrically connected with the controller and are used for controlling the crushing rollers to rotate and keep away from each other; according to the utility model, the microphone is used for collecting sound, and the analyzer is used for carrying out human voice distinguishing on the sound, so that the sudden stop of the equipment and the separation of the two crushing rollers can be realized after the human voice is distinguished, the occurrence of unforeseen circumstances can be prevented in time, and the operation safety of the equipment is improved.

The application relates to the technical field of in-vehicle interaction, and provides an in-vehicle emotion pacification method and device, electronic equipment and a vehicle. The method comprises the following steps: acquiring in-vehicle sound; analyzing the in-vehicle sound to obtain an analysis result, wherein the analysis result comprises passenger information and passenger emotion of in-vehicle passengers; when the passenger emotion satisfies a pacification condition, determining a target interactive object of the in-vehicle passengers according to the passenger information; generating a replica sound of the target interactive object, playing pacification audio comprising the replica sound to the in-vehicle passengers, and pacifying the in-vehicle passengers by using the pacification audio. Since the pacification audio comprises the replica sound of the target interactive object, the in-vehicle passengers are more intimate and trust the target interactive object, are easy to stabilize the emotion after hearing the targeted pacification audio comprising the replica sound, the pacification effect is more ideal, the child passengers are more likely to stop crying, the driver's concerns are eliminated, the driving risks when there are child passengers are eliminated, and the problem that the pacification effect on the child passengers in the prior art is not ideal is solved.