자료유형  

 학위논문

Control Number  

0016935074

International Standard Book Number  

9798380520645

Dewey Decimal Classification Number  

620

Main Entry-Personal Name  

DiPassio , Joseph Tre, III.

Publication, Distribution, etc. (Imprint  

[S.l.] : University of Rochester., 2023

Publication, Distribution, etc. (Imprint  

Ann Arbor : ProQuest Dissertations & Theses, 2023

Physical Description  

1 online resource(173 p.)

General Note  

Source: Dissertations Abstracts International, Volume: 85-04, Section: B.

General Note  

Advisor: Bocko, Mark;Heilemann, Michael.

Dissertation Note  

Thesis (Ph.D.)--University of Rochester, 2023.

Restrictions on Access Note  

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

Summary, Etc.  

요약Smart audio devices have risen to prominence in the last decade as advances in on-device and cloud computing have enhanced their reliability and scope. While developments in display technology have enabled a trend of compactness among recent electronics, a form factor trade-off persists in these devices where high-quality audio reproduction is a functional priority. This thesis investigates a method for simultaneously recording and reproducing sound using induced vibrations on elastic panels, such that a duplex audio interface can be embedded onto the screen of a device itself by affixing structural vibration sensors and actuators. A brief history of the technologies employed by modern smart audio devices to perform sound recording, direction of arrival estimation, and signal enhancement is given, and the proposed surface-based audio interface will be evaluated by its ability to perform these tasks with comparable accuracy and quality to commercially available devices. The intelligibility of speech recorded by structural vibration sensors affixed to elastic panels is measured using the speech transmission index. A word error rate metric is introduced to assess the reliability with which an automatic speech recognition system can transcribe the recordings made in this manner. Methods for crosstalk cancellation are developed for situations when the proposed interface is simultaneously recording and reproducing sound. Though the modal and resonant properties of the panel will degrade the recordings, the coloration of the recorded signal that is apparent in the panel's transfer function is shown to be angularly dependent. An approach to estimating the direction of arrival of noise and speech sources is presented using deep neural networks trained with spectral features that reveal this angular dependence. Techniques that reduce the computational complexity of the feature set are implemented by prioritizing the bandwidths containing the panel's modes that exhibit the greatest variance in excitation by direction. Finally, methods for enhancing signals recorded by structural vibration sensors affixed to elastic panels that utilize directional information are proposed, and preliminary experimental results are reported.

Subject Added Entry-Topical Term  

Acoustics.

Subject Added Entry-Topical Term  

Engineering.

Subject Added Entry-Topical Term  

Computer engineering.

Subject Added Entry-Topical Term  

Electrical engineering.

Index Term-Uncontrolled  

Arrival estimation

Index Term-Uncontrolled  

Flat panel loudspeakers

Index Term-Uncontrolled  

Speech intelligibility

Index Term-Uncontrolled  

Audio devices

Index Term-Uncontrolled  

Vibration sensors

Added Entry-Corporate Name  

University of Rochester Hajim School of Engineering and Applied Sciences

Host Item Entry  

Dissertations Abstracts International. 85-04B.

Host Item Entry  

Dissertation Abstract International

Electronic Location and Access  

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Control Number  

joongbu:643646