177 results about "Sound analysis" patented technology

Apparatus for use detection of apnea includes a microphone mounted in the ear of the patient for detecting breathing sounds and a second external microphone together with an oximetric sensor. A transmitter at the patient compresses and transmits the signals to a remote location where there is provided a detector module for receiving and analyzing the signals to extract data relating to the breathing. The detector uses the entropy or range of the signal to generate an estimate of air flow while extracting extraneous snoring and heart sounds and to analyze the estimate of air flow using Otsu's threshold to detect periods of apnea and / or hypopnea. A display provides data of the detected apnea / hypopnea episodes and related information for a clinician.

A lung sound diagnostic system for use in collecting, organizing and analyzing lung sounds associated with the inspiration(s) and expiration(s) of a patient. The system includes a plurality of transducers that may be placed at various sites around the patient's chest. The microphones are coupled to signal processing circuitry and A / D converters which digitize the data and preferably provides the digital data to a computer station. A data collection and organization program, executing on the computer station, organizes and formats the data into a combination display for display or printing. The combinational display includes at least two display elements. In a first display element, the data is shown for both inspiration and expiration combined in a first time scale. In a second display element, the data for inspiration and expiration are shown individually in a second time scale that is time-expanded relative to the first time scale. The system may also include application programs for detecting and classifying abnormal sounds. The resulting information may be displayed in a variety of formats to facilitate diagnosis. Additionally, the system may include an analysis program for comparing selected criteria corresponding to the detected abnormal sounds with predefined thresholds in order to provide a likely diagnosis.

The present invention relates to a method and system for analysing audio (eg. music) tracks. A predictive model of the neuro-physiological functioning and response to sounds by one or more of the human lower cortical, limbic and subcortical regions in the brain is described. Sounds are analysed so that appropriate sounds can be selected and played to a listener in order to stimulate and / or manipulate neuro-physiological arousal in that listener. The method and system are particularly applicable to applications harnessing a biofeedback resource.

Apparatus for use detection of apnea includes a microphone mounted in the ear of the patient for detecting breathing sounds and a second external microphone together with an oximetric sensor. A transmitter at the patient compresses and transmits the signals to a remote location where there is provided a detector module for receiving and analyzing the signals to extract data relating to the breathing. The detector uses the entropy or range of the signal to generate an estimate of air flow while extracting extraneous snoring and heart sounds and to analyze the estimate of air flow using Otsu's threshold to detect periods of apnea and / or hypopnea. A display provides data of the detected apnea / hypopnea episodes and related information for a clinician.

A sound analysis apparatus stores sound source structure data defining a constraint on one or more of sounds that can be simultaneously generated by a sound source of an input audio signal. A form estimation part selects fundamental frequencies of one or more of sounds likely to be contained in the input audio signal with peaked weights from various fundamental frequencies during sequential updating and optimizing of weights of tone models corresponding to the various fundamental frequencies, so that the sounds of the selected fundamental frequencies satisfy the sound source structure data, and creates form data specifying the selected fundamental frequencies. A previous distribution imparting part imparts a previous distribution to the weights of the tone models corresponding to the various fundamental frequencies so as to emphasize weights corresponding to the fundamental frequencies specified by the form data created by the form estimation part.

Methods of using individually distinctive patterns of voice characteristics to identify a speaker include computing the reassigned spectrogram of each of at least two voice samples, pruning each reassigned spectrogram to remove noise and other computational artifacts, and comparing (either visually or with the aid of a processor) the strongest points to determine whether the voice samples belong to the same speaker.

An apparatus for analyzing music based on sound information of instruments is provided. The apparatus uses sound information of instruments or the sound information and score information in order to analyze digital sounds. The sound information of instruments performed to generate digital sounds is previously stored by pitches and strengths so that monophonic notes and polyphonic notes performed by the instruments can be easily analyzed. In addition, by using the sound information, of instruments and score information together, input digital sounds can be accurately analyzed and can be detected in the form of quantitative data.

The invention relates to a method and system of snoring monitoring and prevention and treatment based on a smart phone platform. The system comprises a snoring sound analysis module, a real-time intervention module and an information feedback module. The method of monitoring and prevention and treatment comprises the following steps that: (1) building a severe snoring sound signal bank and a mild snoring sound signal bank, preprocessing snoring sound signals to extract feature vectors, and training server and mild GMM modules, (2) recording snoring signals of a user in a phone client in real time to process the snoring signals, and carrying out real-time four-dimensional feature vector series extraction on processed snoring signals in a special time window, (3) matching real-time four-dimensional feature vector series with the mild and server snoring sound GMM modules, and regarding one type with the maximum likelihood as an identification result, (4) calculating the maximum snoring sound interval time in a current time window if snoring degree is judged to be server, (5) utilizing outside simulation to prevent the user from snoring if the maximum snoring sound interval time exceeds 10 seconds. Outside intervention can be conducted immediately, and the user can be prevented from snoring effectively.

An information processing apparatus is provided which includes a beat analysis unit for detecting positions of beats included in an audio signal, a structure analysis unit for calculating similarity probabilities, each being a probability of similarity between contents of sound of beat sections divided by each beat position detected by the beat analysis unit, and a chord progression detection unit for determining a likely chord progression of the audio signal based on chord probabilities determined according to the similarity probabilities calculated by the structure analysis unit, each chord probability being a probability of each type of chord for each beat section.

A 2.3 kb / s speech coding technique with harmonic excitation and linear prediction is disclosed. The speech signals are acquired by speech acquisition system and then inputted to the processor of computer. The fundational tone detecting method and voiced sound analysis method are used to split the LPC exciting signal into lower band associated with voised sound and higher band relative to voiceless sound. A united harmonic model with a fixed phase spectrum of voiced sound of man speech is used to express the harmonic component and pseudo-noise component. An interpolation method is used to reduce noise. A short-lag filter is used for high quality of synthetic speech.

The invention relates to a medical monitoring system (100) based on sound analysis in a medical environment. A sound level analyzer (SLA, 10) is capable of providing an indicator for perceived levels of sound from a number of sound events, and a data storage modality (DSM, 20) is receiving and storing said indicator for perceived levels of sound and also corresponding information from an associated patient monitoring system (PMS, 60) handling information indicative of a physical and / or mental condition of a patient under influence by sound. A sound event analyzer (SEA, 30) is further being arranged for performing, within a defined time window, an overall sound analysis (ANA, 50) related to physical and / or mental condition of the patient that may be influenced by sound in order to assist or supervise medical personal with respect to the acoustic environment.

The invention provides a human-computer interaction song singing system and a human-computer interaction song singing method. The human-computer interaction song singing system comprises a server module, a play module, a display module, a sound acquisition module, a sound output module and a sound analysis module; the server module is used for storing audio and video files and subtitle files of songs; the play module is used for acquiring the audio and video files and the subtitle files from the server module; the sound acquisition module is used for acquiring singing audio information of a singer; the sound analysis module is used for analyzing the singing audio information into singing tones and outputting the singing tones obtained by analysis to the display module; the display module is used for receiving and displaying the video files, the subtitle files, the audio files and the singing tones; and the sound output module is used for playing an audio of a song and an audio of the singer. By adopting the method, the problems that in the prior art, the human-computer interaction effect is poor and the scoring cannot be carried out by intonation can be solved.

An information processing apparatus is provided which includes a beat analysis unit for detecting positions of beats included in an audio signal, a structure analysis unit for calculating similarity probabilities, each being a probability of similarity between contents of sound of beat sections divided by each beat position detected by the beat analysis unit, and a bar detection unit for determining a likely bar progression of the audio signal based on bar probabilities determined according to the similarity probabilities calculated by the structure analysis unit, the bar probabilities indicating to which ordinal in which metre respective beats correspond.

The invention provides an artificial intelligence video interview method and system. According to the intelligent video interview method and system, a video interview mode is adopted; expression analysis, sound analysis and analysis on answers of interview questions in the interview process are provided for job seekers through an artificial intelligence technology; the expression ability, the expression method, the matching degree with the post and the like of the job seeker can be automatically, accurately, comprehensively and efficiently evaluated; according to the method, the employer can be helped to screen the applicant according to the comprehensive evaluation result, the job seeker can fully understand the advantages and disadvantages in the interview process through feedback of comprehensive evaluation, pertinence is improved, the job seeker is helped to improve the quality of the job seeker, and the interview success rate is increased.

A lung sound diagnostic system for use in collecting, organizing and analyzing lung sounds associated with the inspiration(s) and expiration(s) of a patient. The system includes a plurality of transducers that may be placed at various sites around the patient's chest. The microphones are coupled to signal processing circuitry and A / D converters which digitize the data and preferably provides the digital data to a computer station. A data collection and organization program, executing on the computer station, organizes and formats the data into a combination display for display or printing. The combinational display includes at least two display elements. In a first display element, the data is shown for both inspiration and expiration combined in a first time scale. In a second display element, the data for inspiration and expiration are shown individually in a second time scale that is time-expanded relative to the first time scale. The system may also include application programs for detecting and classifying abnormal sounds. The resulting information may be displayed in a variety of formats to facilitate diagnosis. Additionally, the system may include an analysis program for comparing selected criteria corresponding to the detected abnormal sounds with predefined thresholds in order to provide a likely diagnosis.

A voice analysis device includes: an acoustic parameter calculation unit which collects a voice signal and calculates an acoustic parameter for each time unit; a category decision unit which decides one of environment sound categories to which a partial voice signal of the unit time belongs; a section setting unit which sets from time to time, a judgment object section including a plurality of continuous time units along the time axis as the time elapses; and an environment judgment unit which judges the environment surrounding a local device in the judgment object section according to the number of environment sound categories contained in the judgment object section at least in the vicinity.

Disclosed are a method for determining whether a person is drunk after consuming alcohol on the basis of a difference among a plurality of formant energy energies, which are generated by applying linear predictive coding according to a plurality of linear prediction orders, and a recording medium and a terminal for carrying out the method. The alcohol consumption determining terminal comprises: a voice input unit for receiving voice signals and converting same into voice frames and outputting the voice frames; a voiced / unvoiced sound analysis unit for extracting voice frames corresponding to a voiced sound from among the voice frames; an LPC processing unit for calculating a plurality of formant energy energies by applying linear predictive cording according to the plurality of linear prediction orders to the voice frames corresponding to the voiced sound; and an alcohol consumption determining unit for determining whether a person is drunk after consuming alcohol on the basis of a difference among the plurality of formant energy energies which have been calculated by the LPC processing unit, thereby determining whether a person is drunk after consuming alcohol depending on a change in the formant energy energies generated by applying linear predictive coding according to the plurality of linear prediction orders to voice signals.

Systems for and methods of assessing lower urinary tract function from urinary flow data via sound analysis and user-provided information regarding the lower urinary tract symptoms (LUTS) of frequency, urgency and urge incontinence. Embodiments of the LUTS assessment systems include a computer and a telephone or a digital recording mechanism to capture the sound of one or more urination events, which are stored as audio files in a database. The LUTS assessment systems may include sound analysis software for analyzing the strength and duration of each urination event and may include a web-based software application for viewing the results via the Internet or other network. The database stores information from multiple urination events, and combined with information regarding the lower urinary tract symptoms, serves as an objective tool to assess bladder function and monitor progression of disease or therapy effectiveness.

A converter transformer operating state on-line audio analyzing and monitoring system belongs to the field of monitoring devices. The system comprises a sound collection unit, a sound transmission unit, a sound analysis unit, a historical sound library, and an analysis result comparison and analysis unit, which are sequentially connected. The sound collecting unit collects actual operating sounds of a converter transformer and converts the sounds into electrical signals. The sound transmission unit transmits the electrical signals converted from the collected actual operating sounds of the converter transformer to the sound analysis unit. The sound analysis unit conducts audio decomposition of the electrical signals converted from the collected actual operating sounds of the converter transformer and forms typical amplitude and frequency curves of the converter transformer on different operating conditions. The historical sound library stores the typical amplitude and frequency curves of the converter transformer on different operating conditions for comparison and comparative analysis. The analysis result comparison and analysis unit is used for analysis and comparison of newly collected audios of the converter transformer, analysis and comparison of historical sounds, and automatic alarming when the collected operating sounds of the converter transformer is abnormal.

The invention discloses a sound based volume adjustment device. The device comprises a signal processing module, a noise acquisition module, a gain module, a pattern base, an input module and an output module. The noise acquisition module is used for acquiring a noise signal, the signal processing module performs sound analytical calculation according to an input audio signal and the noise signal, and the gain module is used for automatically adjusting volumes. The invention further provides a sound based audition product, and the sound based volume adjustment device is arranged in the product. The invention further provides a sound based volume adjusting method, and the method includes the steps of step one, playing input audio and acquiring the noise signal; step two, performing sound analysis if the noise signal exceeds a preset valve value; and step three, automatically adjusting the volume of the played audio.

The invention discloses a mental stress analysis system based on the heart sound HRV theory. According to the mental stress analysis system, the heart rate variability is taken as the evaluation index of the stress level, based on the influences of the heart sound HRV analysis on the mental stress and the fatigue degree, the heart rate variability and the heart sound analysis are combined, and the mental stress analysis system capable of accurately measuring human mental stress is provided. For the system, a wireless heart sound collector is adopted, so that the long-time collection of heart sounds is realized, and the time for collecting the heart sounds needs to be maintained for 3-5 min; in order to rapidly and effectively extract the heart rate variability from heart sound signals, the adaptive algorithm for extracting HRV from the heart sounds is provided; through time-domain and frequency-domain analysis on HRV, 12 time-domain indexes and frequency-domain indexes are obtained, and the graphical representation is carried out on the 8 main characteristic indexes. Compared with the electrocardiographic mental stress analysis meter, the mental stress analysis system provided by the invention has the advantages that the use is convenient, the operation is simple, the functions are complete, especially, the cost is low, and the mental stress analysis system is suitable for being popularized and used in primary medical units, families, schools and individuals.

The present invention relates to a medical feedback system (100) based on sound analysis in a medical environment. With a sound scene analyzer (SSA, 10) being capable of analyzing and classifying an audio signal so as to obtain a list of one or more sound sources in the medical environment surrounding the patient, and a sound-level analyzer (SLA, 20) being capable of providing an indicator for perceived levels of corresponding sound from the list of sound sources, advanced sound analysis is possible. Finally, a sound classifier (SC, 30) is arranged for classifying said list of one or more sound sources in a medical environment with respect to a degree of avoidability, and generating a corresponding feedback signal (FEED, 50) for appropriate action by medical personal, patients and / or visitors.

Golf performance and equipment characteristics may be determined by analyzing the impact between a golf ball and an impacting surface. In some examples, the impacting surface may be a golf club face. The impact between the golf ball and the surface may be measured based on sound and / or motion sensors (e.g., gyroscopes, accelerometers, etc.). Based on motion and / or sound data, various equipment-related information including golf ball compression, club head speed and impact location may be derived. Such information and / or other types of data may be conveyed to a user to help improve performance, aid in selecting golf equipment and / or to insure quality of golfing products.

Golf performance and equipment characteristics may be determined by analyzing the impact between a golf ball and an impacting surface. In some examples, the impacting surface may be a golf club face. The impact between the golf ball and the surface may be measured based on sound and / or motion sensors (e.g., gyroscopes, accelerometers, etc.). Based on motion and / or sound data, various equipment-related information including golf ball compression, club head speed and impact location may be derived. Such information and / or other types of data may be conveyed to a user to help improve performance, aid in selecting golf equipment and / or to insure quality of golfing products.