24 results about "Ambient noise level" patented technology

Devices, systems, and methods are disclosed for customizing audio experiences associated with operation of a ridable device. An electronic device having a processor detects contextual information such as speed, acceleration, ambient noise level, environment type, or location of the ridable device. Sensor data from accelerometers, gyroscopes, microphones, cameras, or positioning systems may be processed to identify these conditions. Based on the detected context, the electronic device determines audio configuration parameters, including selection of audio content, adjustment of volume, blending of tracks, or modification of tempo or pitch. The determined parameters are applied to output audio through one or more speakers of the electronic device, the ridable device, or associated accessories. In some implementations, playback is synchronized with other riders using a common time reference, geo-fence triggers are employed to provide location-specific content, or warning sounds are generated when nearby objects are detected, enhancing both rider enjoyment and environmental awareness.

A spatial audio processing system operable to enable audio signals to be spatially extracted from, or transmitted to, discrete locations within an acoustic space. Embodiments of the present disclosure enable an array of transducers being installed in an acoustic space to combine their signals via inverting physical and environmental models that are measured, learned, tracked, calculated, or estimated. The models may be combined with a whitening filter to establish a cooperative or non-cooperative information-bearing channel between the array and one or more discrete, targeted physical locations in the acoustic space by applying the inverted models with whitening filter to the received or transmitted acoustical signals. The spatial audio processing system may utilize a model of the combination of direct and indirect reflections in the acoustic space to receive or transmit acoustic information, regardless of ambient noise levels, reverberation, and positioning of physical interferers.

This disclosure relates throughout to user interfaces for hearing health. In some embodiments, the computer system prompts the user to initiate a hearing test. In some embodiments, different audio characteristics are used to modify different types of audio. In some embodiments, a visual indication of the current ambient noise level is displayed. In some embodiments, the computer system detects user input indicating the faintest volume at which the user can hear the test audio.

An optical measurement system may improve the accuracy with which it estimates distances to surrounding objects by upgrading various aspects of its data path. Spatial resolution may be increased by subdividing histogram buckets or integration registers based on spatial location. Saturation at any point in the data path can be detected and used to stop counting photons in individual pixels, which can then be normalized after a measurement is over. Multiple peaks can be detected using recursive or iterative techniques to identify a largest remaining peak at each stage. Instead of iterating through the histogram memory multiple times, a threshold can be pre-calculated based on an estimated ambient noise level, and peaks can be detected in a single pass.

A vehicle is provided that can mitigate the effects of high ambient noise levels. Using image data and / or other sensor data, the vehicle can determine when the convertible top is in use. The vehicle also determines when the ambient noise level inside the vehicle exceeds a predefined threshold. The vehicle then switches its operating mode to clearly receive and interpret audio input. The vehicle can activate a lip-reading mode and / or a gesture and facial expression recognition mode to identify words spoken by a user. The vehicle can also store mapping information between a gesture and a corresponding verbal command associated with the vehicle. In noisy environments, the vehicle may suggest using gestures / facial expressions instead of verbal commands.

Spatial audio processing allows for the replication of real-world audio behavior. In some cases, audio sources may be associated with respective spatial audio areas that define which other individuals or objects are recipients of audio generated by the respective audio source. For example, individuals or objects within a spatial audio area will receive audio generated by an associated audio source, but not individuals or objects outside of that spatial audio area. These spatial audio areas may be dynamically re-shaped, re-sized, and / or re-located based on contextual analysis includes clustering analysis and evaluating ambient attributes and user intent. Contextual cues may include grouping of audio sources or a purpose of the environment, while ambient attributes may include characteristics of environmental objects (e.g., furniture) as well as temperature, ambient noise levels, and the like. Additionally, in some examples, user intent may be discerned based on movements and audio content.

The inventive subject matter provides a method for hearing protection by measuring real-time ambient noise level and user's perceived noise level using a headphone. The method may monitor environmental noise in the headphone and calculate the sound level difference between the environment and the perception for in-ear / ear entry point sound pressure level measurement in hearing protection assessment, thereby providing suggestions in terms of hearing protection for the user, by using a headphone with its existing hardware architecture, without adding any components in addition.

The invention relates to the technical field of Internet of Things safety, and discloses an arbiter physical unclonable function modeling method with few excitation response pairs, which comprises the following steps: step a, a group of excitation-response pairs (CRPs) are acquired, and the excitation-response pairs comprise excitation signals, corresponding response outputs and reliability data of each excitation-response pair; b, on the basis of the reliability data, the environmental noise level is calculated through probability statistical analysis, and the environmental noise level represents the noise intensity influencing the APUF response stability; and c, utilizing the ambient noise level and the reliability of a single excitation-response pair. According to the method, physical modeling of the APUF can be completed by optimizing the modeling process and only needing n + 1 CRPs, and compared with a traditional machine learning method which usually needs thousands of CRPs, the method has the advantages that the data demand quantity is reduced by 90% or above, the resource overhead of data collection, storage and processing is remarkably reduced, and convenience is provided for rapid deployment of large-scale Internet of Things equipment.

This invention discloses a method, device, equipment, and program product for adaptive adjustment of vehicle warning volume, including: acquiring the current vehicle status, current driving scenario, current ambient noise level, and the status of road users outside the target vehicle; determining the current warning type based on the current vehicle status, and determining the corresponding warning volume range based on the current warning type; constructing a multi-objective decision model with the optimization objectives of maximizing warning recognition probability and minimizing auditory discomfort probability, and determining the optimal warning volume value within the warning volume range based on the multi-objective decision model; and adjusting the current warning volume of the target vehicle according to the optimal warning volume value. This invention achieves precise adaptation of warning volume to the vehicle's surrounding environment, taking into account both the recognizability of the warning sound and the auditory experience of other road users, improving the accuracy of vehicle warning volume adjustment, ensuring road traffic safety, and can be applied to the field of vehicle control technology.

Device and environmental data are collected from user devices participating in communication sessions of a communications platform. The device and environmental data includes at least one of hardware specifications, firmware versions, processor utilization, memory utilization, ambient noise levels, or device statuses. A device-related or environmental issue is identified based on the device and environmental data. A notification is generated in response to identifying the device-related or environmental issue.

This invention relates to the field of hearing aids, specifically to a sound processing method for an air conduction hearing aid. The method includes a receiving module, an analysis module, a processing module, and a playback module. The receiving module receives sound waves from the external environment, converting all received sound waves into electrical signals. These converted electrical signals are sent to the analysis module in real time for analysis. The analysis identifies noise signals within the electrical signals and analyzes the magnitude of signal fluctuations. The processing module selects a corresponding amplification factor based on the amplitude of the sound waves. Different sound wave amplitudes require different amplification factors. When the wearer is in a noisy environment, the amplitude of sound waves in the surrounding environment is greater than in a quiet environment. By associating different sound wave amplitudes with different amplification factors, the hearing aid can adjust the volume of the played sound according to the ambient noise level, preventing the wearer's ears from being constantly under high load.

Devices, systems, and methods are disclosed for customizing audio experiences associated with operation of a ridable device. An electronic device having a processor detects contextual information such as speed, acceleration, ambient noise level, environment type, or location of the ridable device. Sensor data from accelerometers, gyroscopes, microphones, cameras, or positioning systems may be processed to identify these conditions. Based on the detected context, the electronic device determines audio configuration parameters, including selection of audio content, adjustment of volume, blending of tracks, or modification of tempo or pitch. The determined parameters are applied to output audio through one or more speakers of the electronic device, the ridable device, or associated accessories. In some implementations, playback is synchronized with other riders using a common time reference, geo-fence triggers are employed to provide location-specific content, or warning sounds are generated when nearby objects are detected, enhancing both rider enjoyment and environmental awareness.

The present application relates to the technical field of signal processing, and particularly relates to a noise elimination method, device, equipment and computer readable storage medium, the method comprising: obtaining an ambient sound signal of an external environment in which an audio device is located, and determining an ambient noise level of the ambient sound signal; obtaining an input audio signal of the audio device, and determining a base gain of a noise elimination filter of the audio device based on the input audio signal; adjusting the base gain based on the ambient noise level to obtain a filter gain, wherein the filter gain and the ambient noise level are in a negative correlation relationship; and processing the input audio signal of the audio device through the filter gain to eliminate noise when the input audio signal is played. The present application makes the noise elimination method adapt to different ambient noises, so that the noise elimination method can meet the needs of different ambient noises, thereby improving the practicability of the noise elimination method.

The invention relates to the technical field of intelligent control, in particular to a self-adaptive noise optimization control method and system for an air cooling device, and the method comprises the steps: obtaining the working environment type and the current working load of the air cooling device, preliminarily estimating the noise level, and determining a noise optimization coefficient; initializing a noise control parameter based on the coefficient, and identifying a current ambient noise level with an ambient sensor; evaluating a noise interference coefficient in combination with the environment noise and the initialization parameters; establishing a dynamic noise control optimization model, analyzing the variation trend of the environment noise and the noise control parameter to the interference coefficient, and generating an optimal noise control parameter; and finally, fan operation parameters are optimized based on the optimal parameters, and real-time self-adaptive control of the noise is achieved. According to the method, through dynamic perception, intelligent optimization and accurate control, the problem that a traditional method cannot dynamically adjust noise control parameters according to the environmental noise level and the working load is solved.

The invention discloses a volume adjusting method and device and computer equipment, and can be applied to the technical field of computers. The method comprises the following steps: extracting a first environment noise feature according to first environment audio data of equipment; calculating a first environment noise index according to the first environment noise characteristic; determining a first volume adjustment strategy according to a first noise level to which the first environmental noise index belongs; and adjusting the equipment volume according to the first volume adjustment strategy. According to the embodiment of the invention, the volume can be automatically adjusted according to the ambient noise level, thereby improving the user experience.

The present invention relates to an air conditioner and a noise control method thereof. The noise control method comprises: when a preset noise detection condition is met, activating a noise detection module of the air conditioner to detect the ambient noise level in the environment in which the air conditioner is located; when the ambient noise level exceeds the current standard ambient noise level, obtaining a user's reaction state in the environment in which the air conditioner is located; and selectively regulating the air conditioner based on the reaction state and the ambient noise level to selectively alleviate the ambient noise in the environment in which the air conditioner is located. The present invention selectively regulates the air conditioner based on the user's actual reaction state to noise and the magnitude of the ambient noise level, thereby more effectively diagnosing whether the ambient noise exceeds the user's tolerance level and whether adjustments are truly necessary, thereby avoiding unnecessary adjustments that impose additional operational burdens on the air conditioner and increase its energy consumption. Furthermore, the noise detection module's detection burden and energy consumption are reduced, thereby improving the accuracy of the air conditioner's noise detection timing.

A vehicle that can mitigate the effects of high ambient noise level is provided. The vehicle can determine using image data and / or other sensor data that the vehicle is in a convertible state. The vehicle further determines that an ambient noise level in the vehicle is higher than a threshold. The vehicle then switches the mode of operation in order to clearly receive audio input and interpret the audio input. The vehicle may enable a lip reading mode and / or a gesture and facial expression detection mode in order to determine words spoken by a user of the vehicle. The vehicle may further store association information between a gesture and a corresponding verbal command associated with the vehicle. In high ambient noise environments, the vehicle may suggest using the gestures / facial expressions instead of verbal commands.

A wearable two-way communication audio device includes: a first microphone providing a first microphone signal; a second microphone that provides a second microphone signal; and one or more processors. The one or more processors are configured to estimate an ambient noise level using the second microphone signal and adjust the equalization filter based on the estimated ambient noise level. The first microphone signal and the second microphone signal may be processed via a first beamformer to provide a first beamformed signal, and the first beamformed signal may be filtered with an equalization filter to provide a noise estimation signal. The one or more processors may also use the noise estimation signal to generate a voice output signal for transmission to a remote recipient.

The invention discloses a personalized voice noise reduction and enhancement method based on user specific time domain envelope reconstruction, which relates to the field of voice signal processing, and comprises the following steps: monitoring the environmental noise level in real time when a user uses an earphone to carry out daily conversation or voice input; when the environmental noise level is monitored to be lower than a preset noise threshold value, automatically collecting the voice signal of the user at the moment as a low-noise environmental voice sample; carrying out phoneme-level segmentation on the voice sample and extracting a time domain envelope to establish a target envelope database; during real-time processing, envelope differences are compared through a dynamic time warping algorithm, local gain correction parameters are generated for dynamic gain adjustment, and enhanced real-time voice signals are obtained. According to the method, the problems of voice distortion and insufficient individuation of a traditional noise reduction method are solved.

This application provides a call method, an electronic device method, and a computer storage medium. The electronic device can detect the ambient noise level and whether anyone is nearby. When the electronic device is in a quiet environment and a person is detected, it can adjust the amplitude of the call data to reduce the leakage noise of the call audio corresponding to the call data played through the receiver. Alternatively, the electronic device can play a covert sound signal corresponding to the call audio played through the receiver to cancel out the leakage data and prevent people near the electronic device from accessing the private content of the call audio. This method improves the anti-leakage effect and enhances the user's call experience.

A neck-based personal attenuation rating (PAR) system is used for determining a personal attenuation rating (PAR) of a hearing protection device on a listener. Headphones with an audiometer are placed around ears of the listener, and the audiometer is operated to measure an on-ear hearing threshold of the listener without the hearing protection device. The headphones with the audiometer may then be placed around a neck of the listener, and the audiometer is operated to measure an on-neck hearing threshold of the listener with the hearing protection device. A neck-to-ear transfer function is applied to a difference in the measured on-ear and on-neck hearing thresholds to determine a measured personal attenuation rating of the hearing protection device. A determination is made on if an ambient noise level in an area surrounding the listener compromised the measured personal attenuation rating. This determines if the measured PAR is reliable.

The invention relates to the technical field of receiver ports, and discloses an OWS earphone multi-scene AI adaptive noise reduction method and system, and the system comprises an OWS earphone environment noise detection module, an OWS earphone noise reduction algorithm screening module, and an OWS earphone noise reduction control module. Scientific analysis of the ambient noise level of the OWS earphone is carried out according to the ambient sound frequency preprocessing parameters of the OWS earphone in combination with numerical analysis and standard set standard frequency intervals of different levels of ambient noise of the OWS earphone, and scientific classification noise reduction processing of the ambient noise of the OWS earphone is realized; on the basis of the OWS earphone environment sound frequency preprocessing parameters, a target OWS earphone AI environment noise reduction processing algorithm library and an artificial intelligence recognition algorithm, accurate matching of an optimal AI environment noise reduction processing algorithm is carried out on OWS earphone noise reduction, and the optimal AI environment noise reduction processing algorithm is intelligently screened on the basis of the OWS earphone surrounding environment noise level. And the noise reduction effect of the OWS earphone is improved.

An audio processing apparatus (100) is disclosed for enhancing an audio signal inside of a vehicle having ambient noise. The audio processing apparatus (100) comprises a loudness adjustment stage (110, 120) configured to adjust a loudness of the audio signal and an equalizer stage (130) configured to equalize the audio signal processed by the loudness adjustment stage (110, 120) or a further processed audio signal based on the audio signal processed by the loudness adjustment stage (110, 120). Moreover, the audio processing apparatus (100) comprises one or more transducers configured to generate one or more acoustic signals based on the audio signal and a volume setting. The audio processing apparatus further comprises a control unit (140, 150, 160, 170) configured to (a) estimate an ambient noise level based on a speed of the vehicle and (b) estimate an level of the one or more acoustic signals based on the volume setting and not based on an analysis of the audio signal, wherein the control unit (140, 150, 160, 170) is further configured to control the loudness adjustment stage (110, 120) and the equalizer stage (130) based on the estimate of the ambient noise level and the estimate of the level of the one or more acoustic signals.

This application provides an audio playback method, electronic device, and vehicle, relating to the field of smart cockpit technology. In response to concurrent playback requests for multiple types of audio within the cockpit, the target playback volume for each type of audio is dynamically determined based on the ambient noise level within the cockpit. This can counteract the obscuring effect of ambient noise on key information by increasing the signal-to-noise ratio of the played audio relative to ambient noise when multiple types of audio are mixed and played, thus overcoming the limitation of simply linearly superimposing multiple types of audio, which results in important information being buried. Furthermore, mixing and playing multiple types of audio based on the target playback volume intelligently highlights important audio containing substantial content and reasonably suppresses secondary audio. The dynamic adjustment of the target playback volume of each type of audio in the mixed playback based on the ambient noise level in this solution ensures that users can still clearly obtain important information in noisy environments, significantly improving the auditory experience within the cockpit.