Abstract: A method for touchless gesture recognition is provided. The method includes transmitting ultrasonic signals via a speaker. The method includes generating ultrasonic signals. The method includes receiving the reflected ultrasonic signals from an object via two or more microphones. The method includes computing a frequency shift according to the reflected ultrasonic signals. The method includes identifying a gesture that corresponds to a movement of the object according to the frequency shift. The method includes performing a function that corresponds to the gesture.

Abstract: A true wireless device is provided. The true wireless device includes a modulator for generating ultrasonic waves and a MEMS speaker coupled to the modulator. The MEMS speaker provides greater bandwidth than traditional speakers such as electrodynamic speakers and piezoelectric thin-film speakers. In particular, the MEMS speaker has an audio frequency band and an ultrasonic frequency band.

Abstract: A MEMS microphone package is provided. The MEMS microphone package includes a substrate and a circuit device, the substrate has a conductive structure, and the circuit device has through silicon via structures that are electrically connected to the conductive structure. The MEMS microphone package also includes a sensor disposed on the substrate and having a connecting structure disposed on the bottom of the sensor. The connecting structure is electrically connected to the substrate and the circuit device. The MEMS microphone package further includes a cap covering the circuit device and the sensor and separated from the circuit device and the sensor.

Abstract: A micro-electro-mechanical system (MEMS) microphone package is provided. The MEMS microphone package includes a first micro-electro-mechanical system (MEMS) sensor die, an integrated circuit (IC) die and a first conductive lid. The first micro-electro-mechanical system (MEMS) sensor die has a first surface and a second surface opposite to the first surface. The IC die is stacked on the first surface of the first MEMS sensor die. The first conductive lid is disposed on the second surface of the first MEMS sensor die.

Abstract: A small-array MEMS (micro-electro mechanical system) microphone apparatus is provided. The apparatus includes first and second microphone modules. A first microphone of the first microphone module captures a first acoustic signal from a sound source through a first acoustic hole. A second microphone of the second microphone module captures a second acoustic signal from the sound source through a second acoustic hole. A first integrated circuit performs a first logic operation on the first acoustic signal and the second acoustic signal to generate a first sum acoustic signal. The first integrated circuit performs a sampling delay on the second acoustic signal with a first clock signal, and subtracts the delayed second acoustic signal from the first acoustic signal to obtain a first differential acoustic signal. The first differential acoustic signal has a first directivity. A second integrated circuit bypasses and outputs the second acoustic signal which is omnidirectional.

Abstract: A microphone apparatus is provided. The microphone apparatus includes a microphone cover; a circuit board, an integrated circuit, a first microphone, and a second microphone. The integrated circuit is coupled to the microphone cover and the circuit board to form a first chamber and a second chamber. The first microphone is placed inside the first chamber and configured to capture a first acoustic signal from a sound source. The second microphone is placed inside the second chamber and configured to capture a second acoustic signal from the sound source. The first microphone and the second microphone have the same sensitivity, phase, and omni-directivity. The integrated circuit performs a time-delay process on the second acoustic signal and subtracts the time-delayed second acoustic signal from the first acoustic signal to generate a differential signal. The integrated circuit forms a polar pattern of the microphone apparatus according to the differential signal.

Abstract: An acoustic capture device includes an acoustic transducer, an acoustic detector, an analog-to-digital converter, and a processing element. The acoustic transducer captures an acoustic wave to generate an analog signal. The acoustic detector detects, according to the analog signal, a specific event to generate a trigger signal. The analog-to-digital converter converts the analog signal to generate a digital signal. The processing element receives the trigger signal to execute a control process. The control process includes: analyzing the digital signal to determine ambient information; determining a first set of parameters of the acoustic detector according to the ambient information; performing a control information protocol to adjust the acoustic detector according to the first set of parameters; and performing, according to the ambient information, an enhancement processing on the digital signal to generate an enhanced digital signal.

Abstract: An acoustic capture device includes an acoustic transducer, an acoustic detector, an analog-to-digital converter, and a processing element. The acoustic transducer captures an acoustic wave to generate an analog signal. The acoustic detector detects, according to the analog signal, a specific event to generate a trigger signal. The analog-to-digital converter converts the analog signal to generate a digital signal. The processing element receives the trigger signal to execute a control process. The control process includes: analyzing the digital signal to determine ambient information; determining a first set of parameters of the acoustic detector according to the ambient information; performing a control information protocol to adjust the acoustic detector according to the first set of parameters; and performing, according to the ambient information, an enhancement processing on the digital signal to generate an enhanced digital signal.

Abstract: An audio device and a method thereof are provided. The method is adopted by an audio device to detect a voice, wherein the audio device is coupled to a host device. The method includes an acoustic conversion circuit converting an acoustic wave into an analog audio signal; an analog-to-digital converter (ADC) converting the analog audio signal into digital audio data; a first-level voice detection circuit detecting voice activity in the analog audio signal; a second-level voice detection circuit detecting a beginning syllable of a key phrase in the digital audio data when the voice activity is detected in the digital audio data; and a third-level voice detection circuit detecting the key phrase from the digital audio data only when the beginning syllable of the key phrase is detected in the digital audio data.

Abstract: An audio device and a method thereof are provided. The method is adopted by an audio device to detect a voice, wherein the audio device is coupled to a host device. The method includes an acoustic conversion circuit converting an acoustic wave into an analog audio signal; an analog-to-digital converter (ADC) converting the analog audio signal into digital audio data; a first-level voice detection circuit detecting voice activity in the analog audio signal; a second-level voice detection circuit detecting a beginning syllable of a key phrase in the digital audio data when the voice activity is detected in the digital audio data; and a third-level voice detection circuit detecting the key phrase from the digital audio data only when the beginning syllable of the key phrase is detected in the digital audio data.

Abstract: An electronic device is provided. The electronic device includes a case, an acoustic boot, a first microphone and a second microphone. The case includes a first acoustic opening, a second acoustic opening. The acoustic boot comprises a first duct and a second duct, the first duct is connected to the first acoustic opening, and the second duct is connected to the second acoustic opening. The first microphone is connected to the first duct. The second microphone is connected to the second duct.

Abstract: An electronic device is provided. The electronic device includes a case, a microphone array housing consists of a first acoustic extending structure, a second acoustic extending structure, an interface IC, a first membrane and a second membrane. The case includes a first acoustic opening and a second acoustic opening. The first acoustic extending structure is connected to the first acoustic opening. The second acoustic extending structure is connected to the second acoustic opening. The first membrane receives a first acoustic signal via the first acoustic opening and the first acoustic extending structure. The second membrane receives a second acoustic signal via the second acoustic opening and the second acoustic extending structure.

Abstract: A method for calibrating performance of a small array microphone is provided. The small array microphone includes at least two microphones. The method includes: measuring parameters of the microphones; recording the parameters in a storage media; and calibrating acoustic performance of the array microphone according to the parameters recorded in the storage media.

Abstract: An electronic device is provided. The electronic device includes a case, a microphone array housing consists of a first acoustic extending structure, a second acoustic extending structure, an interface IC, a first membrane and a second membrane. The case includes a first acoustic opening and a second acoustic opening. The first acoustic extending structure is connected to the first acoustic opening. The second acoustic extending structure is connected to the second acoustic opening. The first membrane receives a first acoustic signal via the first acoustic opening and the first acoustic extending structure. The second membrane receives a second acoustic signal via the second acoustic opening and the second acoustic extending structure.

Abstract: A smart microphone device is provided. The smart microphone device is coupled to a host, and includes: an analog microphone unit, receiving sounds; a voice detection unit, coupled to the analog microphone unit, detecting voices from the sounds; a speech detection unit, coupled to the voice detection unit, detecting a speech from the voices; and a channel select pin, coupled between the smart microphone device and the host, wherein an interrupt signal is sent from the smart microphone device to the host via the channel select pin to enable the host to operate in the normal mode when the speech detection unit detects the speech.

Abstract: Methods for dynamically programming a microphone are provided. The method, adopted by a microphone system including a first microphone device and a host device connected thereto, includes: transmitting, by the host device, a command message to the first microphone device; receiving, by the first microphone device, a command message from the host device; decoding, by the first microphone device, the command message; dynamically performing, by the first microphone device, an operation based on the decoded command message to generate first data; and receiving, by the host device, first data from the first microphone device.

Abstract: An electronic device is provided. The electronic device includes a case, an acoustic boot, a first microphone and a second microphone. The case includes a first acoustic opening, a second acoustic opening, or an opening to hold the acoustic boot. wherein the acoustic boot comprises a first duct and a second duct, the first duct is connected to the first acoustic opening, and the second duct is connected to the second acoustic opening. The first microphone is connected to the first duct. The second microphone is connected to the second duct. The ducts of the case if exist and the ducts of the acoustic boot combined together to extend the sound inlet distance to each microphone.

Abstract: A pen-type voice computer generating a voice index table and the method thereof. The method comprises recording voice data by a microphone, generating a handwriting index of the voice data by inputting drawing data using a handwriting input device, and associating the handwriting index with the corresponding voice data to generate the voice index table.

Abstract: A voice recognition system and method thereof. The communication system comprises a setup controller, a voice recognition controller, and an application controller. The setup controller receives a voice keyword table including a voice recognizable keyword and a corresponding application instruction. The voice recognition controller, coupled to the setup controller, receives the voice keyword table from the setup controller, receives a first voice input, and matches a first voice input to the voice recognizable keyword to determine the corresponding application instruction. The application controller, coupled to the voice recognition controller, receives and performs the corresponding application instruction. The setup controller, the voice recognition controller, and the application controller communicate through wireless communication.

Abstract: An improved voice recognition system in which a Voice Keyword Table is generated and downloaded from a set-up device to a voice recognition device. The VKT includes visual form data, spoken form data, phonetic format data, and an entry corresponding to a keyword, and TTS-generated voice prompts and voice models corresponding to the phonetic format data. A voice recognition system on the voice recognition device is updated by the set-up device. Furthermore, voice models in the voice recognition device are modified by the set-up device.