Abstract: A wearable voice detection system in the form of a necklace is disclosed, which allows to monitor the use of the voice in everyday conditions of use by means of an autonomous operation, and to maintain at the same time the accuracy and integrity of the signals obtained. The system comprises: a sensor device comprising a sound detection means and an accelerometer registering sound signals and acceleration variations in the skin of a user; a control device in electrical communication with the sensor device, the control device comprising processing means and data transmission means; wherein the control device is configured to receive and process the signals obtained by the sensor device and to transmit processed data to an external location.

Abstract: The present invention relates to a collision force analysis (CFA) method for obtaining in vivoestimates of contact force and pressure in the vocal cords directly from laryngeal videoendoscopies. The method comprises the steps of: providing at least a high-speed laryngeal videoendoscopy (also called High Speed Videoendoscopy or HSV) to generate at least one image and videos of the vocal cords; pre-processing the image in a processing unit, to define a region of interest (ROI) of the location of the glottis; detecting in the processing unit, the edges of the vocal folds in the images obtained by means of the HSV; recording in the processing unit, the points of the edges detected by means of a sequence of images; estimating in the processing unit, the path of the vocal cord edge during collision throughout time; and estimating the values of contact and impact of the vocal cords by means of a collision model.

Abstract: The present invention relates to a collision force analysis (CFA) method for obtaining in vivoestimates of contact force and pressure in the vocal cords directly from laryngeal videoendoscopies. The method comprises the steps of: providing at least a high-speed laryngeal videoendoscopy (also called High Speed Videoendoscopy or HSV) to generate at least one image and videos of the vocal cords; pre-processing the image in a processing unit, to define a region of interest (ROI) of the location of the glottis; detecting in the processing unit, the edges of the vocal folds in the images obtained by means of the HSV; recording in the processing unit, the points of the edges detected by means of a sequence of images; estimating in the processing unit, the path of the vocal cord edge during collision throughout time; and estimating the values of contact and impact of the vocal cords by means of a collision model.

Abstract: A system and method to assess vocal function of a subject. The system includes an accelerometer configured to acquire surface acceleration data associated with vocal functionality of the subject and a computer system configured to analyze the surface acceleration data and to estimate glottal airflow waveforms produced by the subject based on the surface acceleration data. The computer system performs the analysis and estimation by applying an inverse filter to the surface acceleration data based on a calibrated transmission line model and generates an indication of vocal functionality of the subject based on the estimated glottal airflow waveforms.

Abstract: A speech processing engine is provided that in some embodiments, employs Kalman filtering with a particular speaker's glottal information to clean up an audio speech signal for more efficient automatic speech recognition.

Abstract: A system and method to assess vocal function of a subject. The system includes an accelerometer configured to acquire surface acceleration data associated with vocal functionality of the subject and a computer system configured to analyze the surface acceleration data and to estimate glottal airflow wave-forms produced by the subject based on the surface acceleration data. The computer system performs the analysis and estimation by applying an inverse filter to the surface acceleration data based on a calibrated transmission line model and generates an indication of vocal functionality of the subject based on the estimated glottal airflow waveforms.

Abstract: A speech processing engine is provided that in some embodiments, employs Kalman filtering with a particular speaker's glottal information to clean up an audio speech signal for more efficient automatic speech recognition.