40 results about "Acoustic voice analysis" patented technology

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.

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.

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 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.

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.

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 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.

The invention relates to the technical field of sound analysis, in particular to a throat lesion monitoring system based on sound recognition, which comprises a sound quality optimization module, a sound feature analysis module, an abnormality evaluation module and a treatment effect evaluation module. According to the invention, by utilizing the historical sound data of the user and comparing and evaluating the deviation of the current sound features, the monitoring accuracy is improved, the detection of early lesions is more reliable, the deviation detection threshold is adjusted according to the age and gender differences of individuals, the sound anomaly detection is more accurate, the sound anomaly of the user can be found in time, and the user experience is improved. The system has the advantages that the system is simple in structure and convenient to use, false alarm and missing alarm are reduced, real-time and visual treatment feedback is provided by collecting sound data before and after treatment, analyzing the sound change degree, combining the treatment time and evaluating the treatment effect, data support is provided for doctors, measure adjustment in the treatment process is optimized, and the disease monitoring and management fineness and effect are improved.

The invention relates to the technical field of transformer substation inspection, and discloses a robot inspection method, system and equipment based on a 500kV transformer substation. The method comprises the following steps: acquiring a real-time acquisition image during inspection; recognizing substation equipment and the position of the equipment according to the real-time acquired image by an equipment mode recognition technology based on image matching; judging to obtain a state recognition result of the substation equipment according to the real-time acquired image; analyzing and obtaining a sound analysis result based on the operation sound information of the position acquisition equipment and a vector quantization algorithm; according to the state recognition result and the sound analysis result, whether early warning is performed is judged; and correcting the intelligent navigation system based on a Kalman filtering matching positioning tracking technology so as to adjust an inspection path. An image matching identification technology, a sound analysis technology of a vector quantization algorithm and a matching positioning tracking technology of Kalman filtering are adopted, the inspection quality and efficiency of a transformer substation are effectively improved, the service life of equipment is prolonged, the reliability of a power grid is improved, and the manual workload is reduced.

The invention discloses a thyroid cancer postoperative care method based on multi-dimensional sound analysis, and belongs to the technical field of medical care. Comprising the following steps: step 1, constructing a composite feature vector covering pitch stability, a volume dynamic range, tone change, intonation emotion intensity and resonant cavity coordination; step 2, realizing individualized sound modeling and dynamic reference tracking so as to accurately describe postoperative sound changes; step 3, constructing an adaptive learning model capable of accurately capturing subtle changes of individual sounds; 4, an intelligent early warning mechanism is established, the abnormal vocal cord function is recognized in time, and the sensitivity and specificity of postoperative rehabilitation monitoring are improved; 5, sound feature analysis and clinical rehabilitation data are combined, personalized rehabilitation suggestions are generated, and intelligent optimization of a postoperative rehabilitation scheme is achieved; and step 6, constructing a multi-dimensional sound feature big data platform, and realizing safe storage and intelligent analysis of sound data.

A device based on artificial intelligence and a hybrid system for signaling the health status of a single man or woman, or if he or she has fainted or fallen into a coma, to doctors, police, and other competent persons and authorities, characterized in that this device consists of sensors that detect whether there are signs of life from him or her in the room, a clock, time relays, a telephone system, and all or part of any matter and instruments such as switches, toggles, reset switches, buttons, sensors, ultrasonic or infrared or electromagnetic wave sensors, transmitters and receivers, photodiodes, light diodes, twilight switches, light barrier reflections, optosensors, motion detectors, logic, software, digital, hardware, keyboards, signal generators such as sirens, warning lights, announcement generators such as in answering machines, video cameras, digital cameras, smoke detectors, fire alarms, voice recording devices, and microphones.Sound analyzer, voice analyzer, which can recognize various keywords and key phrases such as "screaming," "help," "ah," "loud coughing like in asthma," and so on, indicating pain or fear; navigation systems to know one's own location; central processing unit (CPU) operating system, memory, registers, arithmetic logic unit (ALU), modem, ISDN or similar devices, mouse, keyboard, and other similar interfaces and peripherals, and some or all sensors such as distance sensors using magnetic, infrared, or ultrasonic waves, motion detectors, light detectors, photodiodes, light transistors, limit switches, flow sensors, fire detectors, smoke detectors, microphones, limit switches, seat contacts, limit switches, switches that are activated by opening or closing doors and change their state from closed to open and vice versa, contacts that sensors,These devices, which generate signals based on the sound of breaking glass, include glass break detectors, hybrid systems, and so on. They process signals from sensors and measure the time since the last sign of life from the person. If this time exceeds a certain limit, the device determines whether the person is unconscious or not. If there are no clear signs of life, the device sends a call, written text, and / or spoken message, one or more times and in stages, to doctors, police, and other relevant persons and agencies, so that doctors and others can go to the person to help or rescue them.

A patient monitoring system includes a microphone that collects audio data from a patient. The audio data is used to generate audio characteristics to classify the audio data and analyze the audio data to determine a patient health status. The audio characteristics and the patient health status are tracked over time and used to monitor a patient respiratory condition. Based on a comparison between the audio characteristics and a database of audio characteristics associated with recorded health statuses of various patients, the system determines the patient health status. Based on the database of audio characteristics and associated health statuses, the system generates a report of the current patient health status.

We propose a substitute model for analyzing new detection targets. [Solution] The substitute model proposal device comprises: an acquisition unit that acquires an audio signal in which a sound containing the target sound to be detected is recorded; an analysis unit that generates multiple frames by dividing the audio signal into predetermined intervals and analyzes the distance between the deep features of the multiple trained models and the deep features of the frame sounds included in the multiple frames for each frame using multiple trained models that detect sounds different from the target sound; and a proposal unit that determines and outputs one or more substitute models from the multiple trained models to be used for detecting the target sound based on the analyzed distance.

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 electronic device for performing environmental analysis, in particular a sound-analyzing object for voice assistance. The electronic device includes: a system for monitoring an environment in which the device is placed, and a visual physical indicator which is controlled depending on at least one command parameter delivered by the monitoring system. Thus, the user of the electronic device is able to perceive the object of attention of the monitoring system since the monitoring system provides feedback by using one or more visual indicators that the monitoring system commands.

The invention provides a method and system for identifying the state of equipment in an ultrahigh-voltage substation cabinet, and the method comprises the steps: processing collected image data, sound data and electrical parameter data, and inputting corresponding feature extraction and analysis models respectively to generate analysis results; and inputting the image analysis result, the sound analysis result and the electrical parameter analysis result into an equipment state recognition model constructed by adopting a neural network algorithm to obtain an equipment state recognition result. According to the method and the system, through an advanced image recognition technology and a machine learning algorithm, real-time automatic monitoring, accurate recognition and early warning of the state of the equipment in the cabinet are realized, manual frequent inspection is not needed, the safety risk caused by opening the cabinet by operation and maintenance personnel during manual inspection is avoided, the personal safety of the operation and maintenance personnel is guaranteed, and the working efficiency is improved. The operation and maintenance efficiency and safety of the transformer substation and the intelligent level of operation and maintenance management of the transformer substation are greatly improved.

The system according to the embodiment aims to provide a personalized training plan based on the characteristics of a user's voice. [Solution] A system according to an embodiment includes a recording unit, an analysis unit, a creation unit, a monitoring unit, and a feedback unit. The recording unit records the user's voice. The analysis unit analyzes the data recorded by the recording unit and extracts features of the user's voice. The creation unit creates an individual training plan based on the features extracted by the analysis unit. The monitoring unit monitors the user's practice in accordance with the training plan created by the creation unit. The feedback unit provides feedback based on the progress monitored by the monitoring unit.

An automatic inspection system includes a wireless slave device and a wireless master device. The wireless slave device includes a sound collection unit that collects sound generated from an inspection target object, an analysis unit that analyzes the collected sound to obtain a degree of difference between the collected sound and normal sound learned in advance and sound state information of the collected sound, as an analysis result, a wireless communication unit that wirelessly transmits data including the analysis results to a wireless master device, and a power supply unit that supplies power to the sound collection unit, the analysis unit, and the wireless communication unit. The wireless master device is configured to perform processing of receiving and managing the data from the wireless slave device, and transmitting the analysis result extracted from the data to a monitoring terminal that monitors a state of the inspection target object.

The invention relates to the technical field of sound analysis, in particular to a large pump station detection system based on forward and reverse voiceprint characteristics. The voiceprint extraction module is used for acquiring a sound source signal of a pump station unit and generating a voiceprint set and a current voiceprint feature; the voiceprint reconstruction module is used for inputting the current voiceprint features into a voiceprint reconstruction model for reconstruction mapping and outputting reconstructed voiceprint features; the noise stabilization module is used for calculating a mapping difference value between the current voiceprint feature and the reconstructed voiceprint feature, generating a dynamic residual error sequence through time sequence splicing, executing fractional order difference operation and outputting a stable residual error sequence; the voiceprint detection module is used for executing probability distribution fitting from the stationary residual sequence to obtain a Pareto model; and generating an abnormal signal and a voiceprint fault based on a Pareto model. According to the method, standard residual input for eliminating non-stationary interference is provided for extreme value theoretical probability fitting at the rear end through multi-dimensional feature extraction and fractional order difference processing at the front end, and the accuracy of early warning triggering is improved from the judgment dimension.