Abstract: Methods and apparatus of reconstructing 360 audio/video (AV) file from multiple AV tracks captured by multiple capture devices are disclosed. According to the present invention, for multi-track audio/video data comprising a first and second audio tracks and a first and second video tracks, the first audio track and the first video track are aligned with the second audio track and the second video track by utilizing video synchronization information derived from the first video track and the second video track if the video synchronization information is available. When the video synchronization information is available, the first audio track and the first video track are aligned with the second audio track and the second video track by utilizing the video synchronization information.

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 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: 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 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.

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 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.

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.

Abstract: 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.

Abstract: A mobile device includes a motion detector, a processing unit, and a wireless positioning module. The motion detector is configured to detect a motion of the mobile device to obtain a motion signal. The processing unit is configured to do the followings: process the motion signal to obtain a vibration frequency and a vibration regularity of the mobile device; determine a device activity status of the mobile device according to the vibration frequency and the vibration regularity; and generate a control signal when finding that the device activity status switches from a first activity status to a second activity status. The wireless positioning module is configured to identify a first location of the mobile device in response to the control signal.

Abstract: A mobile device includes a motion detector, a processing unit, and a wireless positioning module. The motion detector is configured to detect a motion of the mobile device to obtain a motion signal. The processing unit is configured to do the followings: process the motion signal to obtain a vibration frequency and a vibration regularity of the mobile device; determine a device activity status of the mobile device according to the vibration frequency and the vibration regularity; and generate a control signal when finding that the device activity status switches from a first activity status to a second activity status. The wireless positioning module is configured to identify a first location of the mobile device in response to the control signal.

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.

Abstract: An electronic device includes a receiver and an activator. The receiver includes a microphone; and a signal detector, coupled to the microphone, for determining whether a valid input signal received from the microphone is a voice signal or an ultrasonic signal by comparing a frequency of the valid input signal with at least two frequency bands, and accordingly passing the valid input signal. The activator includes a voice detection module, for performing a voice activated process; and an ultrasonic detection module, for performing an ultrasound activated process. The voice detection module and the ultrasonic detection module are enabled by the signal detector simultaneously or separately.

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: A voice verifying system, which comprises: a microphone, which is always turned on to output at least one voice signal; a speech determining device, for determining if the voice signal is valid or not according to a reference value, wherein the speech determining device passes the voice signal if the voice signal is valid; and a verifying module, for verifying a speech signal generated from the voice 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 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.

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.