Ultrasonic Doppler Sensor for Voice Activity Detection
نویسندگان
چکیده
منابع مشابه
Fire Detection with a Combined Ultrasonic-microwave Doppler Sensor
The combination of ultrasonic and microwave sensors offers versatile sensor applications and new solutions in terms of reliability of decision and robustness against distortions. For motion detection in an intruder alarm system, the redundant sensor information from the Doppler multisensor is used to distinguish a moving person from distortions. The superior performance is based on the fact tha...
متن کاملLow frequency ultrasonic voice activity detection using convolutional neural networks
Low frequency ultrasonic mouth state detection uses reflected audio chirps from the face in the region of the mouth to determine lip state, whether open, closed or partially open. The chirps are located in a frequency range just above the threshold of human hearing and are thus both inaudible as well as unaffected by interfering speech, yet can be produced and sensed using inexpensive equipment...
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Early detection and prompt treatment are important factors that limit morbidity and mortality secondary to venous air embolism (VAE) (1). The precordial Doppler ultrasonic sensor and transesophageal echocardiograph are the two most sensitive monitors currently available to detect VAE (2,3). The Aloka SSD-870 transesophageal echocardiograph is equipped with a Doppler sensor at the distal end of ...
متن کاملVoice Activity Detection
• Voice activity detection is the process by which algorithms called Voice Activity Detectors (VADs) are able to distinguish regions that contain speech from regions that do not contain speech in an audio signal • Several features distinguish speech from nonspeech, however, where the speech signal is corrupted by background noise it becomes more and more difficult to characterize these features...
متن کاملA New Algorithm for Voice Activity Detection Based on Wavelet Packets (RESEARCH NOTE)
Speech constitutes much of the communicated information; most other perceived audio signals do not carry nearly as much information. Indeed, much of the non-speech signals maybe classified as ‘noise’ in human communication. The process of separating conversational speech and noise is termed voice activity detection (VAD). This paper describes a new approach to VAD which is based on the Wavelet ...
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ژورنال
عنوان ژورنال: IEEE Signal Processing Letters
سال: 2007
ISSN: 1070-9908
DOI: 10.1109/lsp.2007.896450