Abstract: 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.

Abstract: 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.

Abstract: Voice wakeup detecting devices and methods are provided. A microphone is configured to receive an audio input signal. The audio input signal includes a voice signal and an ambient voice signal. A first analog-to-digital converter is configured to convert the audio input signal into a first signal according to a first gain. A second analog-to-digital converter is configured to convert the audio input signal into a second signal according to a second gain. A control module is configured to merge the first signal multiplied by first weight and the second signal multiplied by second weight into a third signal and to adjust the first weight and the second weight in response to a volume value. The second gain is less than the first gain, and the first weight is different than the second weight.

Abstract: 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.

Abstract: A voice wakeup method is applied to wake up an electronic apparatus. The voice wakeup method includes executing a speaker identification function to analyze user voice and acquire a predefined identification of the user voice, executing a voiceprint extraction function to acquire a voiceprint segment of the user voice, executing an on-device training function via the voiceprint segment to generate an updated parameter, and utilizing the updated parameter to calibrate a speaker verification model, so that the speaker verification model is used to analyze a wakeup sentence and decide whether to wake up the electronic apparatus.

Abstract: A sound enhancement method is applied to a communication apparatus with an operation processor for increasing speech quality. The sound enhancement method includes the operation processor utilizing a sound receiver of the communication apparatus to acquire an input source, the operation processor applying a first calibration model to the input source for executing communication calibration and simultaneously analyzing the input source to determine whether to establish a second calibration mode, and the operation processor utilizing the second calibration mode to execute the communication calibration when the second calibration mode is established.

Abstract: 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.

Abstract: 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.

Abstract: A device is operative to locate a target audio source. The device includes multiple microphones arranged in a predetermined geometry. The device also includes a circuit operative to receive multiple audio signals from each of the microphones. The circuit is operative to estimate respective directions of audio sources that generate at least two of the audio signals; identify candidate audio signals from the audio signals in the directions; match the candidate audio signals with a known audio pattern; and generate an indication of a match in response to one of the candidate audio signals matching the known audio pattern.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A proximity detection method for detecting absorptive and reflective proximal objects using ultrasound signals and an associated electronic device are provided. The electronic device includes an audio codec, and an acoustics module having a microphone and a speaker. The method includes the steps of: utilizing the speaker to emit an ultrasound signal encoded by the audio codec; utilizing the microphone to sense to generate an incoming ultrasound signal associated with the emitted ultrasound signal; decoding the incoming ultrasound signal into ultrasound waves; and analyzing the ultrasound waves to detect the proximity of a proximal object.

Abstract: 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.

Abstract: 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.

Abstract: 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.