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 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 object analyzing method applied to an object analyzing system. The object analyzing method comprises: (a) applying at least one analyzing parameter extracting process according to an object type for an target object, to extract at least one analyzing parameter for the target object; (b) selecting least one analyzing model according to the object type; and (c) applying the analyzing model selected in the step (b), to analyze the analyzing parameter and accordingly generate an analyzing result.

Abstract: A keyword spotting system includes a decoder having a storage device and a decoding circuit. The storage device is used to store a log-likelihood table and a plurality of dynamic programming (DP) tables generated for recognition of a designated keyword. The decoding circuit is used to refer to features in one frame of an acoustic data input to calculate the log-likelihood table and refer to at least the log-likelihood table to adjust each of the DP tables when recognition of the designated keyword is not accepted yet, where the DP tables are reset by the decoding circuit at different frames of the acoustic data input, respectively.

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: 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: 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 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.

Abstract: Disclosed is an event detecting method, which is applied to an electronic system with at least one event detecting module. The event detecting method comprises: (a) enabling at least one event detecting module; and (b) applying the event detecting module enabled in the step (a) to detect if any predetermined event occurs in a detecting range of the event detecting module.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: An embodiment of the invention provides a method of preparing for speaker authentication. The method includes: receiving speech data that represents an utterance made by a user; extracting side information; examining the side information to determine whether to allow speaker model training using the speech data; and generating a feedback message for the user based on the side information if speaker model training using the speech data is not allowed; wherein the feedback message contains a message indicating at least a condition of the side information comprising calendar data to the user.