東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ subject:"Anatomy & physiology." ]

切換: 標籤 | MARC模式 | ISBD

The physiological basis of Glottal e...

Burnett, Gregory Clell.

FindBook

Google Book

Amazon

博客來

The physiological basis of Glottal electromagnetic micropower sensors (GEMS) and their use in defining an excitation function for the human vocal tract.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	The physiological basis of Glottal electromagnetic micropower sensors (GEMS) and their use in defining an excitation function for the human vocal tract./
作者:	Burnett, Gregory Clell.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 1999,
面頁冊數:	251 p.
附註:	Source: Dissertations Abstracts International, Volume: 61-03, Section: B.
Contained By:	Dissertations Abstracts International61-03B.
標題:	Electrical engineering. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9925723
ISBN:	9780599255647

The physiological basis of Glottal electromagnetic micropower sensors (GEMS) and their use in defining an excitation function for the human vocal tract.
Burnett, Gregory Clell.

The physiological basis of Glottal electromagnetic micropower sensors (GEMS) and their use in defining an excitation function for the human vocal tract. - Ann Arbor : ProQuest Dissertations & Theses, 1999 - 251 p.

Source: Dissertations Abstracts International, Volume: 61-03, Section: B.

Thesis (Ph.D.)--University of California, Davis, 1999.

This item must not be sold to any third party vendors.

The definition, use, and physiological basis of Glottal Electromagnetic Micropower Sensors (GEMS) is presented. These sensors are a new type of low power (<20 milliwatts radiated) microwave regime (900 MHz to 2.5 GHz) multi-purpose motion sensor developed at the Lawrence Livermore National Laboratory. The GEMS are sensitive to movement in an adjustable field of view (FOV) surrounding the antennae. In this thesis, the GEMS has been utilized for speech research, targeted to receive motion signals from the subglottal region of the trachea. The GEMS signal is analyzed to determine the physiological source of the signal, and this information is used to calculate the subglottal pressure, effectively an excitation function for the human vocal tract. For the first time, an excitation function may be calculated in near real time using a noninvasive procedure. Several experiments and models are presented to demonstrate that the GEMS signal is representative of the motion of the subglottal posterior wall of the trachea as it vibrates in response to the pressure changes caused by the folds as they modulate the airflow supplied by the lungs. The vibrational properties of the tracheal wall are modeled using a lumped-element circuit model. Taking the output of the vocal tract to be the audio pressure captured by a microphone and the input to be the subglottal pressure, the transfer function of the vocal tract (including the nasal cavities) can be approximated every 10-30 milliseconds using an autoregressive moving-average model. Unlike the currently utilized method of transfer function approximation, this new method only involves noninvasive GEMS measurements and digital signal processing and does not demand the difficult task of obtaining precise physical measurements of the tract and subsequent estimation of the transfer function using its cross-sectional area. The ability to measure the physical motion of the trachea enables a significant number of potential applications, ranging from very accurate pitch detection to speech synthesis, speaker verification, and speech recognition.

ISBN: 9780599255647Subjects--Topical Terms:

649834
Electrical engineering.
Subjects--Index Terms:

Excitation function

The physiological basis of Glottal electromagnetic micropower sensors (GEMS) and their use in defining an excitation function for the human vocal tract.
LDR:03429nmm a2200373 4500 001 2279308
005 20210730131617.5
008 220723s1999 ||||||||||||||||| ||eng d
020 $a 9780599255647
035 $a (MiAaPQ)AAI9925723
035 $a AAI9925723
040 $a MiAaPQ $c MiAaPQ
100 1 $a Burnett, Gregory Clell. $3 3557752
245 1 4 $a The physiological basis of Glottal electromagnetic micropower sensors (GEMS) and their use in defining an excitation function for the human vocal tract.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 1999
300 $a 251 p.
500 $a Source: Dissertations Abstracts International, Volume: 61-03, Section: B.
500 $a Publisher info.: Dissertation/Thesis.
502 $a Thesis (Ph.D.)--University of California, Davis, 1999.
506 $a This item must not be sold to any third party vendors.
506 $a This item must not be added to any third party search indexes.
520 $a The definition, use, and physiological basis of Glottal Electromagnetic Micropower Sensors (GEMS) is presented. These sensors are a new type of low power (<20 milliwatts radiated) microwave regime (900 MHz to 2.5 GHz) multi-purpose motion sensor developed at the Lawrence Livermore National Laboratory. The GEMS are sensitive to movement in an adjustable field of view (FOV) surrounding the antennae. In this thesis, the GEMS has been utilized for speech research, targeted to receive motion signals from the subglottal region of the trachea. The GEMS signal is analyzed to determine the physiological source of the signal, and this information is used to calculate the subglottal pressure, effectively an excitation function for the human vocal tract. For the first time, an excitation function may be calculated in near real time using a noninvasive procedure. Several experiments and models are presented to demonstrate that the GEMS signal is representative of the motion of the subglottal posterior wall of the trachea as it vibrates in response to the pressure changes caused by the folds as they modulate the airflow supplied by the lungs. The vibrational properties of the tracheal wall are modeled using a lumped-element circuit model. Taking the output of the vocal tract to be the audio pressure captured by a microphone and the input to be the subglottal pressure, the transfer function of the vocal tract (including the nasal cavities) can be approximated every 10-30 milliseconds using an autoregressive moving-average model. Unlike the currently utilized method of transfer function approximation, this new method only involves noninvasive GEMS measurements and digital signal processing and does not demand the difficult task of obtaining precise physical measurements of the tract and subsequent estimation of the transfer function using its cross-sectional area. The ability to measure the physical motion of the trachea enables a significant number of potential applications, ranging from very accurate pitch detection to speech synthesis, speaker verification, and speech recognition.
590 $a School code: 0029.
650 4 $a Electrical engineering. $3 649834
650 4 $a Electromagnetism. $3 522050
650 4 $a Biomedical research. $3 3433833
650 4 $a Anatomy & physiology. $3 3434423
650 4 $a Animals. $2 fast $3 518809
653 $a Excitation function
653 $a Glottal electromagnetic micropower sensors
653 $a Vocal tract
690 $a 0544
690 $a 0607
690 $a 0541
690 $a 0719
710 2 $a University of California, Davis. $3 1018682
773 0 $t Dissertations Abstracts International $g 61-03B.
790 $a 0029
791 $a Ph.D.
792 $a 1999
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9925723