The present application discloses a Method for converting vibration to voice frequency wirelessly and a method thereof. By sensing a first vibration variation data and a voice frequency variation data of a vocal vibration part in a first sensing period, a voice frequency reference data is obtained from the voice frequency variation data and the first vibration result. A second vibration result is obtained at a second sensing period for converting to a voice frequency output signal, and the voice frequency output signal is used to output as a voice signal corresponding to the voice frequency various result. Thus, the present application provides a voice signal close to a human voice.

The present application discloses a system for converting vibration to voice frequency wirelessly and a method thereof. By sensing a first vibration variation data and a voice frequency variation data of a vocal vibration part in a first sensing period, a voice frequency reference data is obtained from the voice frequency variation data and the first vibration result. A second vibration result is obtained at a second sensing period for converting to a voice frequency output signal, and the voice frequency output signal is used to output as a voice signal corresponding to the voice frequency various result. Thus, the present application provides a voice signal close to a human voice.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for analyzing ultrasonic signals to recognize mouthed articulations. One of the methods includes generating an ultrasonic carrier signal and coupling the ultrasonic carrier signal to a person's vocal tract. The method includes detecting a modulated ultrasonic signal, the modulated ultrasonic signal corresponding to the ultrasonic carrier signal modulated by the person's vocal tract to include information about articulations mouthed by the person; analyzing, using a data processing apparatus, the modulated ultrasonic signal to recognize the articulations mouthed by the person from the information in the modulated ultrasonic signal; and generating, using the data processing apparatus, an output in response to the recognized articulations.

A non-invasive ventilation voice amplification system includes a microphone module for placement in a non-invasive ventilation mask. The microphone module has a microphone element for detecting a patient's voice and a speaker for projecting the voice. The microphone module connects to a controller module that houses electronics for processing and amplifying the audio signal.

Proposed is a vibration sensor including: a substrate; a first electrode positioned on the substrate; a support positioned on the first electrode and including a cylindrical hollow hole; and a diaphragm including a thin film positioned on the support and a second electrode positioned on the thin film. According to the present disclosure, it is possible to manufacture a skin-attachable vibration sensor that is attached to a user's neck to detect vibration acceleration in user's neck skin, thus exhibiting a uniform and high sensitivity to a user's voice over the frequency range of the human voice. In addition, the sensor sensitively detects a user's voice through neck skin vibrations rather than through air, thus being free from the influence of external noise or wind, and can recognize the user's voice even in a situation where a user's mouth is covered.

Proposed is a vibration sensor including: a substrate; a first electrode positioned on the substrate; a support positioned on the first electrode and including a cylindrical hollow hole; and a diaphragm including a thin film positioned on the support and a second electrode positioned on the thin film. According to the present disclosure, it is possible to manufacture a skin-attachable vibration sensor that is attached to a user's neck to detect vibration acceleration in user's neck skin, thus exhibiting a uniform and high sensitivity to a user's voice over the frequency range of the human voice. In addition, the sensor sensitively detects a user's voice through neck skin vibrations rather than through air, thus being free from the influence of external noise or wind, and can recognize the user's voice even in a situation where a user's mouth is covered.

A biological sound sensor to be used in contact with a skin of a living body, and includes a casing that has an opening in a face on the side facing the skin of the living body, a double-sided adhesive membrane having a first surface and a second surface, the second surface closes the opening by adhering to the face of the casing and the first surface adheres to the skin when collecting a biological sound produced in the living body. A microphone is arranged in the casing and picks up the biological sound. The double-sided adhesive membrane has a one-material portion, made of the first adhesive material, through the double-sided adhesive membrane from the first surface to the second surface.

A biological sound sensor to be used in contact with a skin of a living body, and includes a casing that has an opening in a face on the side facing the skin of the living body, a double-sided adhesive membrane having a first surface and a second surface, the second surface closes the opening by adhering to the face of the casing and the first surface adheres to the skin when collecting a biological sound produced in the living body. A microphone is arranged in the casing and picks up the biological sound. The double-sided adhesive membrane has a one-material portion, made of the first adhesive material, through the double-sided adhesive membrane from the first surface to the second surface.

An interactive system can utilize microtechnology (e.g., a micro-electromechanical system (MEMS)), such as miniaturized microphone (e.g., a bone-conducting microphone), audio output device, microprocessor, and signal conversion and propagation means to create a personal area network (PAN) for a user. The system can include a voice input device (e.g., worn on one or more teeth of the user) that outputs a near-field magnetic induction (NFMI) signal based on a whisper input by the user. The NFMI signal is either detected by the user's mobile device, or converted into a wireless signal (e.g., a Bluetooth RF signal) detectable by the user's mobile device, for receiving voice commands (e.g., to provide personal assistant services) via a designated application running on the mobile device.

An interactive system can utilize microtechnology (e.g., a micro-electromechanical system (MEMS)), such as miniaturized microphone (e.g., a bone-conducting microphone), audio output device, microprocessor, and signal conversion and propagation means to create a personal area network (PAN) for a user. The system can include a voice input device (e.g., worn on one or more teeth of the user) that outputs a near-field magnetic induction (NFMI) signal based on a whisper input by the user. The NFMI signal is either detected by the user's mobile device, or converted into a wireless signal (e.g., a Bluetooth RF signal) detectable by the user's mobile device, for receiving voice commands (e.g., to provide personal assistant services) via a designated application running on the mobile device.