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公开(公告)号：US10264999B2
公开(公告)日：2019-04-23
申请号：US15863027
申请日：2018-01-05
Applicant: Massachusetts Institute of Technology
Inventor： Joseph J. Lacirignola , Trina Rae Vian , Christopher J. Smalt , David F. Aubin, Jr. , David C. Maurer , Mary Katherine Byrd , Christine M. Weston , Kerry A. Johnson , Shakti Davis , Olha Townsend , Paul T. Calamia , Edward H. Chen , Paula P. Collins
Abstract: Systems, apparatus, and methods for collecting, interpreting, and utilizing noise exposure data may include sensors to obtain an analog signal representative of impulse noise sound pressure and an analog signal representative of continuous noise sound pressure. At least one ADC may generate digital signals by sampling the analog signals at rates equal to or greater than twice the reciprocal of a minimum impulse noise rise time. Accelerometers may obtain data in close proximity to and remote from the sensors. At least one processor may include a first combining node to combine the digital signals to represent both the continuous noise and the impulse noise, a shock-artifact detection filter to identify a time frame including a shock artifact based on the accelerometry data, a frequency filter to generate a background-removed audio signal, an adaptive filter to estimate the shock artifact, and a second combining node to produce a shock-artifact-free audio signal.
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Patent Agency Ranking
公开(公告)号：US10127929B2
公开(公告)日：2018-11-13
申请号：US15257628
申请日：2016-09-06
Applicant: Massachusetts Institute of Technology
Inventor： Thomas Francis Quatieri, Jr. , Gregory Alan Ciccarelli , Satrajit S. Ghosh , Christopher J. Smalt , James R. Williamson , Jeffrey Shane Palmer
Abstract: In a system and method for assessing the condition of a subject, control parameters are derived from a neurophysiological computational model that operates on features extracted from a speech signal. The control parameters are used as biomarkers (indicators) of the subject's condition. Speech related features are compared with model predicted speech features, and the error signal is used to update control parameters within the neurophysiological computational model. The updated control parameters are processed in a comparison with parameters associated with the disorder in a library.
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公开(公告)号：US20170053665A1
公开(公告)日：2017-02-23
申请号：US15257628
申请日：2016-09-06
Applicant: Massachusetts Institute of Technology
Inventor： Thomas Francis Quatieri, JR. , Gregory Alan Ciccarelli , Satrajit S. Ghosh , Christopher J. Smalt , James R. Williamson , Jeffrey Shane Palmer
Abstract: In a system and method for assessing the condition of a subject, control parameters are derived from a neurophysiological computational model that operates on features extracted from a speech signal. The control parameters are used as biomarkers (indicators) of the subject's condition. Speech related features are compared with model predicted speech features, and the error signal is used to update control parameters within the neurophysiological computational model. The updated control parameters are processed in a comparison with parameters associated with the disorder in a library.
Abstract translation: 在用于评估受试者状况的系统和方法中，控制参数是从对从语音信号中提取的特征进行操作的神经生理计算模型导出的。 控制参数用作受试者状况的生物标志物（指标）。 语音相关特征与模型预测语音特征进行比较，误差信号用于更新神经生理计算模型中的控制参数。 更新的控制参数与与库中的紊乱相关联的参数进行比较处理。
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公开(公告)号：US10225672B2
公开(公告)日：2019-03-05
申请号：US15955037
申请日：2018-04-17
Applicant: Massachusetts Institute of Technology
Inventor： Joseph J. Lacirignola , Trina Rae Vian , David F. Aubin, Jr. , Thomas F. Quatieri , Kate D. Fischl , Paula P. Collins , Christopher J. Smalt , Paul D. Gatewood , Nicolas Malyska , David C. Maurer
Abstract: Loud sounds with fast rise times, like gunfire and explosions, can cause noise-induced hearing loss (NIHL). Unfortunately, current models do not adequately explain how impulsive sounds cause NIHL, which makes it difficult to predict and prevent NIHL on battlefields and other hostile or rugged environments. Fortunately, the impulsive sounds experienced by soldiers and others working in rugged environments can be recorded using a compact, portable system that acquires, digitizes, and stores high-bandwidth audio data. An example of this system can be mounted on a helmet or other article and used to record hours of audio data at a bandwidth of 20 kHz or higher, which is broad enough to capture sounds with rise times less than 50 ms. An analog-to-digital converter (ADC) digitizes these broadband audio signals at rate of 40 kHz or higher to preserve the impulse information. A processor transfers the digitized samples from a buffer to a memory card for later retrieval using an interrupt-driven processing technique.
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公开(公告)号：US10074397B2
公开(公告)日：2018-09-11
申请号：US15252963
申请日：2016-08-31
Applicant: Massachusetts Institute of Technology
Inventor： Joseph J. Lacirignola , Trina Rae Vian , David F. Aubin, Jr. , Thomas F. Quatieri , Kate D. Fischl , Paula P. Collins , Christopher J. Smalt , Paul D. Gatewood , Nicolas Malyska , David C. Maurer
CPC classification number: H04R25/75 , G06F3/165 , G10L21/0208 , G11B20/10 , G11B20/24 , H04R3/005 , H04R2430/01 , H04R2460/07
Abstract: Loud sounds with fast rise times, like gunfire and explosions, can cause noise-induced hearing loss (NIHL). Unfortunately, current models do not adequately explain how impulsive sounds cause NIHL, which makes it difficult to predict and prevent NIHL on battlefields and other hostile or rugged environments. Fortunately, the impulsive sounds experienced by soldiers and others working in rugged environments can be recorded using a compact, portable system that acquires, digitizes, and stores high-bandwidth audio data. An example of this system can be mounted on a helmet or other article and used to record hours of audio data at a bandwidth of 20 kHz or higher, which is broad enough to capture sounds with rise times less than 50 ms. An analog-to-digital converter (ADC) digitizes these broadband audio signals at rate of 40 kHz or higher to preserve the impulse information. A processor transfers the digitized samples from a buffer to a memory card for later retrieval using an interrupt-driven processing technique.
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公开(公告)号：US20180140233A1
公开(公告)日：2018-05-24
申请号：US15863027
申请日：2018-01-05
Applicant: Massachusetts Institute of Technology
Inventor： Joseph J. Lacirignola , Trina Rae Vian , Christopher J. Smalt , David F. Aubin, JR. , David C. Maurer , Mary Katherine Byrd , Christine M. Weston , Kerry A. Johnson , Shakti Davis , Olha Townsend , Paul T. Calamia , Edward H. Chen , Paula P. Collins
CPC classification number: A61B5/125 , A61B5/6814 , A61B5/721 , G01H3/12 , G01H3/14
Abstract: Systems, apparatus, and methods for collecting, interpreting, and utilizing noise exposure data may include sensors to obtain an analog signal representative of impulse noise sound pressure and an analog signal representative of continuous noise sound pressure. At least one ADC may generate digital signals by sampling the analog signals at rates equal to or greater than twice the reciprocal of a minimum impulse noise rise time. Accelerometers may obtain data in close proximity to and remote from the sensors. At least one processor may include a first combining node to combine the digital signals to represent both the continuous noise and the impulse noise, a shock-artifact detection filter to identify a time frame including a shock artifact based on the accelerometry data, a frequency filter to generate a background-removed audio signal, an adaptive filter to estimate the shock artifact, and a second combining node to produce a shock-artifact-free audio signal.
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