Mediatek Corporation

Yiou-Wen Cheng

Liang-Che Sun

Chao-Ling Hsu

Xin-Wei Shih

Chih-Ping Lin

Hsi-Wen Nien

Chieh-Cheng Cheng

Jyh-Horng Lin

Po-An Chen

Shen-Kai Chang

Chia-Ying Li

Chien-Hua Chen

Yuanyuan Wang

Yuan-Wen Ting

Li-Wei Cheng

Che-Kuang Lin

Chi Sheng Wu

Shaw-Min Lei

Shang-Hsiu Wu

Shun-Chang Zhong

Hsi-Kang Tsao

Hsin-Ping Cheng

Chia-Hsien Lu

Ting-Yuan Chiu

Various techniques pertaining to non-coherent noise reduction for audio enhancement on a multi-microphone mobile device are proposed. A processor receives a plurality of signals from a plurality of audio sensors corresponding to a plurality of channels responsive to sensing by the plurality of audio sensors. The processor then performs a non-coherent noise reduction on one or more signals of the plurality of signals to suppress one or more non-coherent noises in each of the one or more signals based on a respective signal-to-noise ratio (SNR) associated with each of the one or more signals. The processor further combines the plurality of signals subsequent the noise reduction to generate an output signal.

Non-coherent noise reduction for audio enhancement on mobile device

An audio device is provided. The audio device includes processing circuitry which is connected to a loudspeaker and a microphone. The processing circuitry is configured to play an echo reference signal from a far end on the loudspeaker, and perform an acoustic echo cancellation (AEC) process using the echo reference signal and an acoustic signal received by the microphone using an AEC adaptive filter. The processing circuitry repeatedly determines a first status of the loudspeaker according to a relation between the played echo reference signal and the received acoustic signal, and transmits a first status signal indicating the first status of the loudspeaker to the far end through a cloud network.

Audio device and method for detecting device status of audio device in audio/video conference

A task assigning method of adaptively assigning at least one operation task is applied for a task assigning device including a first electronic device and a second electronic device communicated with each other in a wireless manner. The task assigning method includes acquiring a first detection parameter of the first electronic device, and adjusting a task transmission rate from the first electronic device to the second electronic device in accordance with the first detection parameter.

Task assigning method and task assigning device

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

Methods and apparatuses pertaining to enhanced audio effect realization for virtual reality may involve receiving data in a virtual reality setting. The data may be related to audio samples from one or more sound sources, motions of the one or more sound sources, and motions of a user. Physics simulation may be performed for realization of one or more audio effects based on the received data. Signal processing may be performed using a result of the physics simulation. Audio outputs may be provided using a result of the signal processing.

Enhanced audio effect realization for virtual reality

A voice verifying system, which comprises: a microphone, which is always turned on to output at least one input audio signal; a speech determining device, for determining if the input audio signal is valid or not according to a reference value, wherein the speech determining device passes the input audio signal if the input audio signal is valid; and a verifying module, for verifying a speech signal generated from the input audio signal and for outputting a device activating signal to activate a target device if the speech signal matches a predetermined rule; and a reference value generating device, for generating the reference value according to speech signal information from the verifying module.

Voice verifying system and voice verifying method which can determine if voice signal is valid or not

An embodiment of the invention provides a calibration control method performed by a microphone system. The microphone system includes a plurality of microphones configured to generate a plurality of microphone signals. First, the microphone system equalize the microphone signals to generate a plurality of equalized microphone signals. Next, the microphone system calculates a set of similarity indicators based on the equalized microphone signals. Then, the microphone system compares the set of similarity indicators with a set of predetermined thresholds to determine whether to calibrate the microphone signals.

Microphone system and related calibration control method and calibration control module

A voice wakeup detecting device for an electronic product includes a front end detecting circuit, a speech recognition processor and a main processor. The front end detecting circuit judges whether a voice signal contains a sub-keyword according to sub-keyword model parameters. If the front end detecting circuit confirms that the voice signal contains the sub-keyword, then it generates a first interrupt signal. In response to the first interrupt signal, the speech recognition processor is enabled to judge whether the voice signal contains a keyword according to keyword model parameters. If the speech recognition processor confirms that the voice signal contains the keyword, then it generates a second interrupt signal. In response to the second interrupt signal, the main processor is enabled. Consequently, the electronic produce is waked up from a sleep state to a normal working state.

Voice wakeup detecting device and method

A voice wakeup detecting device for an electronic product includes a digital microphone and an application processor. The digital microphone has a function of judging whether a digital voice signal contains a subword according to subword model parameters. If the digital microphone confirms that the digital voice signal contains the subword, the digital microphone generates a first interrupt signal and outputs the digital voice signal. The application processor is enabled in response to the first interrupt signal. The application processor judges whether the digital voice signal contains a keyword according to keyword model parameters. If the application processor confirms that the digital voice signal contains the keyword, the electronic product is waked up from a sleep state to a normal working state under control of the application processor.

Voice wakeup detecting device with digital microphone and associated method

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

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Hsinchu, Taiwan

Yiou-Wen Cheng