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BE. GU. Shirley, M. Meadows, F. Malak, JA. ST. Woodcock, and A. Tidball, "Personalized Object-Based Audio for Hearing Impaired TV Viewers," J. Audio Eng. Soc., vol. 65, no. 4, pp. 293-303, (2017 April.). doi: https://doi.org/10.17743/jaes.2017.0005 BE. GU. Shirley, M. Meadows, F. Malak, JA. ST. Woodcock, and A. Tidball, "Personalized Object-Based Audio for Hearing Impaired TV Viewers," J. Audio Eng. Soc., vol. 65 Issue 4 pp. 293-303, (2017 April.). doi: https://doi.org/10.17743/jaes.2017.0005
Abstract: Age demographics have led to an increase in the proportion of the population suffering from some form of hearing loss. The introduction of object-based audio to television broadcasting has the potential to improve the viewing experience for millions of hearing impaired people. Personalization of object-based audio can assist in overcoming difficulties in understanding speech and the narrative audio. This research presented describes a Multi-Dimensional Audio (MDA) implementation of object-based clean audio that presents independent object streams based on object-category elicitation. Evaluations were carried out with hearing impaired people, and participants were able to personalize audio levels independently for four object-categories using an on-screen menu: speech, music, background effects, and foreground effects related to on-screen events. Results show considerable preference variation across subjects but nevertheless the expanding object-category personalization beyond a binary speech/nonspeech categorization can substantially improve the viewing experience for some hearing impaired people.

@article{shirley2017personalized,
author={shirley, ben guy and meadows, melissa and malak, fadi and woodcock, james stephen and tidball, ash},
journal={journal of the audio engineering society},
title={personalized object-based audio for hearing impaired tv viewers},
year={2017},
volume={65},
number={4},
pages={293-303},
doi={https://doi.org/10.17743/jaes.2017.0005},
month={april},} @article{shirley2017personalized,
author={shirley, ben guy and meadows, melissa and malak, fadi and woodcock, james stephen and tidball, ash},
journal={journal of the audio engineering society},
title={personalized object-based audio for hearing impaired tv viewers},
year={2017},
volume={65},
number={4},
pages={293-303},
doi={https://doi.org/10.17743/jaes.2017.0005},
month={april},
abstract={age demographics have led to an increase in the proportion of the population suffering from some form of hearing loss. the introduction of object-based audio to television broadcasting has the potential to improve the viewing experience for millions of hearing impaired people. personalization of object-based audio can assist in overcoming difficulties in understanding speech and the narrative audio. this research presented describes a multi-dimensional audio (mda) implementation of object-based clean audio that presents independent object streams based on object-category elicitation. evaluations were carried out with hearing impaired people, and participants were able to personalize audio levels independently for four object-categories using an on-screen menu: speech, music, background effects, and foreground effects related to on-screen events. results show considerable preference variation across subjects but nevertheless the expanding object-category personalization beyond a binary speech/nonspeech categorization can substantially improve the viewing experience for some hearing impaired people.},}

TY - paper
TI - Personalized Object-Based Audio for Hearing Impaired TV Viewers
SP - 293 EP - 303
AU - Shirley, Ben Guy
AU - Meadows, Melissa
AU - Malak, Fadi
AU - Woodcock, James Stephen
AU - Tidball, Ash
PY - 2017
JO - Journal of the Audio Engineering Society
IS - 4
VO - 65
VL - 65
Y1 - April 2017 TY - paper
TI - Personalized Object-Based Audio for Hearing Impaired TV Viewers
SP - 293 EP - 303
AU - Shirley, Ben Guy
AU - Meadows, Melissa
AU - Malak, Fadi
AU - Woodcock, James Stephen
AU - Tidball, Ash
PY - 2017
JO - Journal of the Audio Engineering Society
IS - 4
VO - 65
VL - 65
Y1 - April 2017
AB - Age demographics have led to an increase in the proportion of the population suffering from some form of hearing loss. The introduction of object-based audio to television broadcasting has the potential to improve the viewing experience for millions of hearing impaired people. Personalization of object-based audio can assist in overcoming difficulties in understanding speech and the narrative audio. This research presented describes a Multi-Dimensional Audio (MDA) implementation of object-based clean audio that presents independent object streams based on object-category elicitation. Evaluations were carried out with hearing impaired people, and participants were able to personalize audio levels independently for four object-categories using an on-screen menu: speech, music, background effects, and foreground effects related to on-screen events. Results show considerable preference variation across subjects but nevertheless the expanding object-category personalization beyond a binary speech/nonspeech categorization can substantially improve the viewing experience for some hearing impaired people.