11 results about "Interaural time difference" patented technology

Embodiments of the invention relate to a method and device for adaptive Head Related Transfer Function (HRTF) individualization for binaural rendering through headphones, earphones or crosstalk-cancelled speakers. The Adaptive HRTF individualizer (AHI) can simplify the complicated problem of custom tailoring an HRTF to a user via a GUI (graphical user interface), and can incorporate a single controller (e.g. a slider) that controls the selection of filters that allow the listener to virtualize sound sources at desired locations through any binaural rendering system. The slider allows cycling through processed HRTFs that are a composite of deconstructed measured filters with reconstructed cues such as interaural time difference (ITD) and interaural level difference (ILD). The deconstructed filters are analyzed and pre-processed enabling a smooth interpolation of the filters in the time domain prior to the addition or reconstruction of cues into the filter itself. Expanding this procedure for a single location into multiple locations enables a customized and accurate listening experience for multichannel content virtualized through any binaural rendering system. This can be done for a multitude of speaker locations to customize and render any surround sound content.

An audio-signal processing method directed at determining the direction to a sound source based on certain statistical characteristics of the corresponding binaural sound. In at least some examples, the method is configured to obtain at least two different azimuth-angle estimates using two different signal models, one representing an interaural level difference cue and the other representing an interaural time difference cue. The models are parameterized such that the computational complexity associated with computing the two azimuth-angle estimates is relatively low. The method is further configured to combine the two different azimuth-angle estimates to obtain a more-accurate azimuth-angle estimate. Beneficially, in at least some cases, directional position of a moving sound source can be accurately tracked in real time due to the relatively low computational complexity of the disclosed method.

Techniques for generating user-specific sound localization are described. In some embodiments, the techniques include receiving head geometry information of a user; determining a calculated interaural time delay (ITD) value for the user based on the head geometry information; generating a first modified head related transfer function (HRTF) using the calculated ITD value and generating a second modified HRTF using the calculated ITD value; generating a first modified audio signal using the first modified HRTF and generating a second modified audio signal using the second modified HRTF; and transmitting the first modified audio signal and the second modified audio signal to one or more speakers.

The invention provides a hearing aid wearing tightness detection method based on two-channel ultrasonic phase difference, and relates to the technical field of hearing aid detection, and the method comprises the steps: controlling a first ultrasonic transmitting transducer and a second ultrasonic transmitting transducer which are disposed at different positions of a hearing aid housing, and transmitting an ultrasonic signal subjected to orthogonal coding; receiving the mixed echo signal through an ultrasonic receiving transducer, and performing signal separation by using an adaptive filter matched with the coding mode to obtain a first echo signal corresponding to the first transmitting transducer and a second echo signal corresponding to the second transmitting transducer; inputting the extracted phase information, time information and amplitude information into a pre-trained wearing state classification model, and outputting a classification result of the current wearing state; and according to a classification result, triggering a self-adaptive prompt action matched with the state level. According to the invention, high-precision, multi-dimensional and real-time online monitoring and intelligent feedback of the wearing state of the hearing aid are realized.

The invention provides a head-related transfer function data set fusion method and system, and the method comprises the steps: inputting the sampling data of different subjects under a plurality of data sets into a trained deep neural network, and generating an HRIR which digests the measurement features of the data sets; the training process of the deep neural network comprises the following steps: extracting a binaural time difference, a binaural sound level difference and an auditory positioning feature by using HRIR in an original data set; a deep neural network is utilized to generate HRIR with data set measurement features eliminated, and binaural sound level difference and auditory positioning features are extracted; and constructing a loss function by using the binaural sound level difference between the original HRIR and the HRIR output by the deep neural network, the hearing positioning feature difference and the data set classification accuracy between the HRTFs output by the network, and feeding back and training the deep neural network. The method has the advantages that the measurement attributes carried in the HRTF in different data sets can be effectively eliminated, and the positioning sensing result is kept unchanged, so that the different data sets can be fused.

A cochlear and nerve stimulation system comprises a signal input to receive an audio input signal, a multiple channel microphone input to receive multiple channel ambient noise signals, and a multiple channel cochlear converter coupled to the signal input to produce multiple channel surround sound cochlear and nerve stimulation signals based on the audio input signal. The stimulation signals include one or both of interaural level differences and interaural time differences. A sound canceling processor is coupled between the microphone input and the cochlear converter to produce multiple channel sound canceling signals based on the ambient noise signals. Multiple channel cochlear and nerve stimulation electrodes are configured for attachment to a user and coupled to receive the multiple channel surround sound cochlear stimulation signals.

Techniques for producing user-specific sound localization are described. In some embodiments, the techniques include: receiving head geometry information for a user, determining a calculated interaural-time-delay (ITD) value for the user based on the head geometry information, generating a first modified head-related transfer function (HRTF) with the calculated ITD value and a second modified HRTF with the calculated ITD value, generating a first modified audio signal with the first modified HRTF and a second modified audio signal with the second modified HRTF, and transmitting the first modified audio signal and the second modified audio signal to one or more loudspeakers.

The present application provides a method and system for fusing head-related transfer function datasets, the method comprising: inputting sampling data of different subjects under multiple datasets into a trained deep neural network to generate HRIR that eliminates the measurement features of the dataset; the training process of the deep neural network comprises: extracting interaural time difference, interaural level difference and auditory localization features using the HRIR in the original dataset; generating HRIR that eliminates the measurement features of the dataset using the deep neural network, and extracting interaural level difference and auditory localization features; constructing a loss function using the interaural level difference, auditory localization feature difference between the HRIR output by the original and deep neural network, and the dataset classification accuracy between the network output HRTFs, and feedback training the deep neural network. The advantage of the present application is that it can effectively eliminate the measurement attributes carried in the HRTFs in different datasets and keep the positioning perception results unchanged, thereby enabling different datasets to be fused.

The application provides a kind of dual-channel ultrasonic phase difference hearing aid wearing tightness detection method, it is related to hearing aid detection technical field, comprising: control the first ultrasonic wave transmitting transducer and the second ultrasonic wave transmitting transducer of different positions in hearing aid shell, emit the ultrasonic wave signal through orthogonal coding;Mixed echo signal is received by ultrasonic wave receiving transducer, and signal separation is carried out using adaptive filter matched with coding mode, to obtain the first echo signal corresponding to the first transmitting transducer and the second echo signal of the second transmitting transducer;The extracted phase information, time information and amplitude information are input to the pre-trained wearing state classification model, and the classification result of current wearing state is output;According to the classification result, trigger adaptive prompt action matched with state level.The application realizes high-precision, multidimensional, real-time online monitoring and intelligent feedback of hearing aid wearing state.

Methods, systems, and storage media for generating spatial audio are disclosed. Exemplary implementations may: receive audio data from a plurality of sources; for each source of the plurality of sources, calculate a pitch similarity for the audio data; for each source of the plurality of sources, calculate an interaural level difference based at least in part on an attenuation level and / or a dynamic range of interaural time differences of the audio data; for each source of the plurality of sources, determine background audio from the audio data; for each source of the plurality of sources, attenuate the background audio of the audio data; generate spatial audio based at least in part on the audio data and the background audio; and cause output of the audio data and the background audio through an audio source.

There is provided a method and corresponding system for processing a set including Head-Related Transfer Functions, HRTFs, for at least two different directions of sound incidence to enable improved generation, modeling or simulation of ear signals corresponding to a diffuse sound field. For each direction of sound incidence to the head, a left-ear HRTF represents the transfer function from a sound source to the left ear, and a right-ear HRTF represents the corresponding transfer function to the right ear. The method comprises applying (S1) a phase adjustment to each HRTF, for each ear and direction, for reducing Interaural Time Differences, ITD, above a threshold frequency or in a frequency band above the threshold frequency; and adding (S2) a direction-dependent Interaural Phase Difference, IPD, to each HRTF, for each ear and direction, for reducing Interaural Coherence when modelling or simulating a diffuse sound field.