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The design of personal audio systems for speech transmission using analytical and measured responses

The design of personal audio systems for speech transmission using analytical and measured responses
The design of personal audio systems for speech transmission using analytical and measured responses
Personal Audio systems can be used to provide information and entertainment content in public spaces. Limitations in array directivity mean that speech information intended for a target region may remain intelligible elsewhere. This compromises privacy for target listeners and could prove distracting or annoying to passive listeners nearby. A system has previously been proposed whereby the intelligibility of this leaked speech is reduced by radiating an artificial masking signal into the dark zone; this masking signal has been optimised to minimise the potential for annoyance whilst achieving a predefined level of intelligibility in each zone, but only free-field responses were considered. In practice, systems located in public spaces will be adversely affected by noise and reverberation. This detriment to system performance can be quantified using engineering measures such as acoustic contrast, although the perceived performance as evaluated by users does not necessarily correspond. The present paper explores the effect of using analytical and measured transfer responses on speech intelligibility and system optimisation using a practical example of a personal audio system in a room.
Personal Audio, Speech Intelligibility
2379-190X
IEEE
Wallace, Daniel
ef3e070e-d641-48ac-8e5b-fe083131ee86
Cheer, Jordan
8e452f50-4c7d-4d4e-913a-34015e99b9dc
Wallace, Daniel
ef3e070e-d641-48ac-8e5b-fe083131ee86
Cheer, Jordan
8e452f50-4c7d-4d4e-913a-34015e99b9dc

Wallace, Daniel and Cheer, Jordan (2019) The design of personal audio systems for speech transmission using analytical and measured responses. In ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE. 5 pp . (doi:10.1109/ICASSP.2019.8683269).

Record type: Conference or Workshop Item (Paper)

Abstract

Personal Audio systems can be used to provide information and entertainment content in public spaces. Limitations in array directivity mean that speech information intended for a target region may remain intelligible elsewhere. This compromises privacy for target listeners and could prove distracting or annoying to passive listeners nearby. A system has previously been proposed whereby the intelligibility of this leaked speech is reduced by radiating an artificial masking signal into the dark zone; this masking signal has been optimised to minimise the potential for annoyance whilst achieving a predefined level of intelligibility in each zone, but only free-field responses were considered. In practice, systems located in public spaces will be adversely affected by noise and reverberation. This detriment to system performance can be quantified using engineering measures such as acoustic contrast, although the perceived performance as evaluated by users does not necessarily correspond. The present paper explores the effect of using analytical and measured transfer responses on speech intelligibility and system optimisation using a practical example of a personal audio system in a room.

Text
THE DESIGN OF PERSONAL AUDIO SYSTEMS FOR SPEECH TRANSMISSION USING ANALYTICAL AND MEASURED RESPONSES - Proof
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Accepted/In Press date: 1 February 2019
Published date: 12 May 2019
Venue - Dates: ICASSP 2019: 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton Conference Centre, Brighton, United Kingdom, 2019-05-12 - 2019-05-17
Keywords: Personal Audio, Speech Intelligibility

Identifiers

Local EPrints ID: 428410
URI: http://eprints.soton.ac.uk/id/eprint/428410
ISSN: 2379-190X
PURE UUID: 88597fe4-c07e-44da-abaa-b240fc2941b0
ORCID for Daniel Wallace: ORCID iD orcid.org/0000-0003-0212-5395
ORCID for Jordan Cheer: ORCID iD orcid.org/0000-0002-0552-5506

Catalogue record

Date deposited: 22 Feb 2019 17:30
Last modified: 30 Nov 2024 05:07

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Contributors

Author: Daniel Wallace ORCID iD
Author: Jordan Cheer ORCID iD

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