An accident detector includes a processor, one or more sensors operatively coupled to the processor where the one or more sensors acquire at the ear, on the ear or within an ear canal, one or more of acceleration, blood oxygen saturation, blood pressure or heart-rate, and the one or more sensors configured to monitor a biological state or a physical motion or both for an event. The accident detection can be a detection of a discrepancy when compared with a set of reference data by the one or more sensors.

A noise estimation method including steps of generating gap confidence values in response to microphone output and playback signals, and using the gap confidence values to generate an estimate of background noise in a playback environment. Each gap confidence value is indicative of confidence of presence of a gap at a corresponding time in the playback signal, and may be a combination of candidate noise estimates weighted by the gap confidence values. Generation of the candidate noise estimates may but need not include performance of echo cancellation. Optionally, noise compensation is performed on an audio input signal using the generated background noise estimate. Other aspects are systems configured to perform any embodiment of the noise estimation method.

Methods for calibrating active noise-cancelling headphones, including placing the active noise-cancelling headphones on a measuring device; exciting the active noise-cancelling filter; measuring one or more relevant transmission pathways selected from x(n), m(n), and p(n) for feedforward and/or h(n) for feedback; defining at least one goal function for feedforward or feedback; calculating a complementary function for the defined goal function for at least one branch of the active noise-cancelling filter; calculating an impulse response of the complementary function from the measurements of the relevant transmission pathways; approximating operating parameters for the active noise-cancelling filter using the Prony method; and implementing the approximated operating parameters in the active noise-cancelling filter on the signal processor in order to create an approximated complementary active noise-cancelling filter, thereby calibrating the active noise-cancelling headphones.

One or more context aware processing parameters and an ambient audio stream are received. One or more sound characteristics associated with the ambient audio stream are identified using a machine learning model. One or more actions to perform are determined using the machine learning model and based on the one or more context aware processing parameters and the identified one or more sound characteristics. The one or more actions are performed.

Systems and methods for controlling audio output in a telematics system are provided. In on method a telematics device determines that a parameter has exceeded a first threshold and sends an automatic volume control trigger message to an audio output device. The telematics device determines that a second parameter has exceeded a second threshold and sends an alert message to the audio output device. The audio output device performs an automatic volume control procedure then plays back and audible alert message.

An communication system supports communication paths within an environment by receiving speech signals of a speaker and playing it back for one or more listeners. Signal processing tasks are split into a microphone related part and into a loudspeaker related part. A sound processing system suitable for use in an environment having multiple acoustic zones includes a plurality of microphone communication instances coupled and a plurality of loudspeaker instances.

Provided are a voice call method, an apparatus, a terminal, and a storage medium, relating to the technical field of the terminal. The method includes: obtaining, in response to a voice call instruction, a display screen state of the flexible display screen, the display screen state comprising at least one of a roll-up state and a spread-out state; controlling, in response to the flexible display screen being in the roll-up state, the flexible display screen to spread out, wherein the first housing and the second housing move relative to each other while spreading out the flexible display screen, and wherein a distance between the sound receiving hole and a sound source after the spreading out is smaller than a distance between the sound receiving hole and the sound source before the spreading out; and collecting call voice through the radio microphone.

The present disclosure relates to an apparatus for cancelling a noise signal for speech recognition, the apparatus includes one or more microphones configured on a mesh enclosure to receive a first set of signals pertaining to a user command. A speaker located in the mesh enclosure configured to generate a second set of signals pertaining to noise signal, wherein each of the one or more microphones are arranged perpendicular above the speaker at predefined degrees to cancel the generated second set of signals reaching the one or more microphones. A processor configured to process the received first set of signals by cancellation of the second set of signals; and enable, on receipt of the first set of signals, an operational mode of the apparatus to execute corresponding action.

A method and system of conferencing can include the steps of initiating a conference call at a communication device with two or more communication devices and selecting to suppress a voice communication of at least one communication device on the conference call where a modified electronic signal is generated with the selected at least one communication device so that the voice communication from the selected at least one communication device is inaudible. The method or system further includes sending the modified electronic signal to at least one other communication device on the conference call. Other embodiments are disclosed.

A conversation support device includes: a speaker; a microphone; a noise source acquisition unit that acquires a noise signal indicating noise; a first calculator that calculates a transfer characteristic of a secondary path between the speaker and the microphone; an echo cancellation unit that cancels an echo by using the transfer characteristic of the secondary path; a second calculator that calculates a coefficient of an adaptive filter, based on the transfer characteristic of the secondary path and the noise signal; and an active noise cancellation controller that generates a noise cancelling signal by using the coefficient of the adaptive filter and the noise signal. The noise cancelling signal is for controlling cancellation of the noise.