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 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 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:
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 non-coherent noise reduction method, comprising: (a) receiving a plurality of input audio sensing signals by a processor, wherein the input audio sensing signals correspond to a plurality of channels responsive to sensing by a plurality of audio sensors; (b) detecting whether non-coherent noise exists in at least one of the channels by a non-coherent noise detector; (c) estimating at least one noise power of the non-coherent noise by a noise power estimator, if the non-coherent noise exists in at least one of the channels; (d) deriving at least one noise contour of the non-coherent noise by a noise contour estimator, if the non-coherent noise exists in at least one of the channels; and (e) enhancing the input audio sensing signals according to the noise power and the noise contour if the non-coherent noise exists in at least one of the channels.
Abstract:
A signal loss compensation method, for compensating an input signal comprising (K+Y) lost signal units and normal signal units. The signal loss compensation method comprises: compensating 1st to (K−1)th lost signal units by a first signal loss concealment algorithm to generate a first compensation signal and accordingly generating a first synthetic signal; compensating (K+X+1)th to (K+Y) th lost signal units by a second signal loss concealment algorithm to generate a second compensation signal and accordingly generating a second synthetic signal; compensating K th to (K+X)th lost signal units by the first signal loss concealment algorithm or the second signal loss concealment algorithm to generate a third synthetic signal; generating an output signal according to the first synthetic signal, the second synthetic signal, the third synthetic signal and the normal signal units. K and Y are positive integers, X is a natural number, and Y is larger than X.
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:
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 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.