Mediatek Corporation

Airoha Technology Corporation

Chao-Ling Hsu

Yiou-Wen Cheng

Li-Wen Chi

Liang-Che Sun

Xin-Wei Shih

Kai-Sheng Chen

Chih-Ping Lin

Chieh-Cheng Cheng

Jyh-Horng Lin

Shaw-Min Lei

Shen-Kai Chang

Chia-Ying Li

Yuanyuan Wang

Li-Wei Cheng

Shih-Kai He

Hsi-Kang Tsao

The present invention relates to an active noise cancellation integrated circuit for stacking at least one anti-noise signal and at least one non-anti-noise signal, an associated method, and an active noise cancellation headphone using the same. The method is applicable to an audio playback device with at least one ANC filtering unit and at least one non-ANC filtering unit. The method includes: acquiring a non-anti-noise signal from a non-ANC filtering unit; generating a decoupled signal by processing the non-anti-noise signal with the transfer function of a physical channel and operations of an ANC filtering unit; performing a signal superposition, wherein an anti-noise signal from the ANC filtering unit is superposed with the decoupled signal; and performing an audio playback based on the superposed signal and an audio signal such that noise is eliminated.

Active noise cancellation integrated circuit for stacking at least one anti-noise signal and at least one non-anti-noise signal, associated method, and active noise cancellation headphone using the same

An active noise control (ANC) circuit is used for generating an anti-noise signal, and has a plurality of filters including at least one first filter and at least one second filter. The at least one first filter generates at least one first filter output, wherein each of the at least one first filter has a first filter type. The at least one second filter generates at least one second filter output, wherein each of the at least one second filter has a second filter type different from the first filter type. The anti-noise signal is jointly controlled by the at least one first filter output and the at least one second filter output. The at least one first filter and the at least one second filter are connected in a parallel fashion.

Active noise control circuit with multiple filters connected in parallel fashion and associated method

The invention relates to an adaptive active noise cancellation apparatus and an audio playback system using the same. The adaptive active noise cancellation apparatus shapes an error signal and a noise signal according to a shape of an ideal noise. After that, the shaped noise signal and the shaped error signal are sent into a parameter adjusting unit to perform an adaptive parameter adjustment. Thus, the adaptive noise filter unit is not only can adaptively suppress noise and minimize the error signal, but also can suppress specific frequencies that are sensitive to the human ear.

Adaptive active noise cancellation apparatus and audio playback system using the same

An adaptive active noise control (ANC) system includes an ANC circuit and a control circuit. The ANC circuit generates an anti-noise signal for noise reduction, wherein the ANC circuit includes at least one adaptive filter. The control circuit receives a first input signal derived from a reference signal output by a reference microphone that picks up ambient noise, receives a second input signal derived from an error signal output by an error microphone that picks up remnant noise resulting from the noise reduction, and performs a transfer function variation detection based on the first input signal and the second input signal to control the at least one adaptive filter.

Adaptive active noise control system with unstable state handling and associated method

An adaptive active noise control (ANC) system includes an ANC circuit and a control circuit. The ANC circuit generates an anti-noise signal, and includes at least one adaptive filter. The control circuit receives a first input signal derived from a reference signal output by a reference microphone that picks up ambient noise, receives a second input signal derived from an error signal output by an error microphone that picks up remnant noise resulting from noise reduction, and performs a comparison operation based on a first characteristic value of the first input signal and a second characteristic value of the second input signal to control the at least one adaptive filter.

Adaptive active noise control system with double talk handling and associated method

The present invention relates to an active noise cancellation integrated circuit for stacking multiple anti-noise signals, an associated method, and an active noise cancellation headphone using the same. The method is applicable to an audio playback device with multiple ANC filtering units. The method includes: acquiring an anti-noise signal from an ANC filtering unit; generating a decoupled signal by processing the anti-noise signal with the transfer function of a physical channel and operations of other ANC filtering units; performing a signal superposition, wherein an anti-noise signal from another ANC filtering unit is superposed with the decoupled signal; and performing an audio playback based on the superposed signal and an audio signal such that noise is eliminated.

Active noise cancellation integrated circuit for stacking multiple anti-noise signals, associated method, and active noise cancellation headphone using the same

An audio synchronization method includes: receiving a first audio signal from a first recording device; receiving a second audio signal from a second recording device; performing a correlation operation upon the first audio signal and the second audio signal to align a first pattern of the first audio signal and the first pattern of the second audio signal; after the first patterns of the first audio signal and the second audio signal are aligned, calculating a difference between a second pattern of the first audio signal and the second pattern of the second audio signal; and obtaining a starting-time difference between the first audio signal and the second audio signal for audio synchronization according to the difference between the second pattern of the first audio signal and the second pattern of the second audio signal.

Audio synchronization method and associated electronic device

An earpiece of a headset uses a first signal and a second signal received from an in-ear microphone and an outside microphone, respectively, to enhance microphone signals. The in-ear microphone is positioned at a proximal side of the earpiece with respect to an ear canal of a user, and the outside microphone is positioned at a distal side of the earpiece with respect to the ear canal. A processing unit includes a filter, which digitally filters out in-ear noise from the first signal using the second signal as a reference to produce a de-noised signal to thereby enhance the microphone signals.

Speech enhancement for headsets with in-ear microphones

A method for performing active noise control upon a target zone includes: using an adaptive filtering circuit to receive at least one microphone signal obtained from a microphone; and, dynamically compensating at least one coefficient of the adaptive filtering circuit to adjust a frequency response of the adaptive filtering circuit according to an energy distribution of the at least one microphone signal, so as to make the adaptive filtering circuit receive the at least one microphone signal to generate a resultant anti-noise signal to the target zone based on the dynamically adjusted frequency response.

Method, active noise control circuit, and portable electronic device for adaptively performing active noise control operation upon target zone

An audio refocusing method includes receiving an indication signal indicating which sound source in a recorded signal has to be refocused on; determining a direction of the sound source or a location of the sound source; and enhancing sound generated by the sound source in the recorded signal according to the direction or the location of the sound source to generate a processed signal.

Audio refocusing methods and electronic devices utilizing the same

The invention provides a system for speech keyword detection and associated method. The system includes a speech keyword detector, an activity predictor and a decision maker. The activity predictor obtains sensor data provided by a plurality of sensors, and processes the sensor data to provide an activity prediction result indicating a probability for whether a user is about to give voice keyword. The decision maker processes the activity prediction result and a preliminary keyword detection result of the speech keyword detection to provide a keyword detection result.

System and associated method for speech keyword detection enhanced by detecting user activity

An electronic device for browsing a document is disclosed. The document being browsed includes a plurality of command-associated text strings. First, a text string selector of the electronic device selects a plurality of candidate text strings from the command-associated text strings. Afterward, an acoustic string provider of the electronic device prepares a candidate acoustic string for each of the candidate text strings. Thereafter, a microphone of the electronic device receives a voice command. Next, a speech recognizer of the electronic device searches the candidate acoustic strings for a target acoustic string that matches the voice command, wherein the target acoustic string corresponds to a target text string of the candidate text strings. Finally, a document browser of the electronic device executes a command associated with the target text string.

Voice command recognition method and related electronic device and computer-readable medium

A voice control device has a speech command recognizer, a sensor data processor and a decision making circuit. The speech command recognizer is arranged for performing speech command recognition to output a recognized speech command. The sensor data processor is arranged for processing sensor data generated from at least one auxiliary sensor to generate a detection output. The decision making circuit is arranged for deciding a response of the voice control device according to the recognized speech command and the detection output. The same speech command is able to trigger difference responses according to the detection output (e.g., detected motion). Besides, an adaptive training process may be employed to improve the accuracy of the sensor data processor. Hence, the voice control device may have improved performance of the voice control feature due to a reduce occurrence probability of miss errors and false alarm errors.

Voice control device and method for deciding response of voice control according to recognized speech command and detection output derived from processing sensor data

A portable electronic device including an ultrasound transmitter, an ultrasound receiver, and a processing unit is provided. The ultrasound transmitter sends ultrasonic signals, while the ultrasound receiver receives reflected ultrasonic signals from an object. The ultrasound transmitter and the ultrasound receiver are disposed to form a reference axis. The processing unit processes the reflected ultrasonic signals to obtain a time-frequency distribution thereof, and determines a 1D gesture corresponding to projection loci of movements of the object on the reference axis according to the time-frequency distribution.

Ultrasound-based methods for touchless gesture recognition, and apparatuses using the same

An active noise control system and associated auto-selection method for modeling a secondary path for the active noise control system are provided. The method includes the steps of: receiving a reference signal; filtering the reference signal with a secondary-path estimation filter to obtain a filtered reference signal, wherein the secondary path estimation filter is determined from a plurality of candidate secondary-path estimation filters; filtering the reference signal with an adaptive filter to provide a compensation signal; sensing a residual noise signal at a listening position of the active noise control system; and adapting filter coefficients of the adaptive filter according to the residual noise signal and the filtered reference signal.

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Hsinchu, Taiwan

Chao-Ling Hsu