Active Voice Amplifier: On-Device Noisy Environment-Aware Solution for Dialogue Enhancement in Real Time
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J. Cho, S. Kim, and I. Hwang, "Active Voice Amplifier: On-Device Noisy Environment-Aware Solution for Dialogue Enhancement in Real Time," J. Audio Eng. Soc., vol. 71, no. 3, pp. 129-137, (2023 March.). doi: https://doi.org/10.17743/jaes.2022.0065
J. Cho, S. Kim, and I. Hwang, "Active Voice Amplifier: On-Device Noisy Environment-Aware Solution for Dialogue Enhancement in Real Time," J. Audio Eng. Soc., vol. 71 Issue 3 pp. 129-137, (2023 March.). doi: https://doi.org/10.17743/jaes.2022.0065
Abstract: Since a cathode-ray tube television was introduced first to the consumers in the late 1920s, a variety of multimedia device form-factors has appeared in the consumer market until now. Although the values of multimedia devices had been mostly put on picture quality and sound quality in the past, it is undoubtedly told at this moment that user experience is the most important and attractive value for the multimedia products. As for now, almost all outstanding features of the brand-new products are the technologies about user convenience such as voice user interaction, device unlock, contents recommendation, and so on. Likewise, an unprecedented feature of smart TVs, the Active Voice Amplifier, was introduced in the Consumer Electronics Show 2020, and it detects disturbing noise and enhances voice clarity accordingly and automatically. To design this feature and make it work in real time on real devices, state-ofthe- art signal processing methods and deep learning technologies are integrated in a function for the novel approach of noisy environment detection and speech extraction from multimedia audio contents. This paper overviews what this function pursues in user experience, describes how it was designed in terms of signal processing methods, and demonstrates how effectively it works on real-time TV systems.
@article{cho2023active,
author={cho, jaeyoun and kim, sunmin and hwang, inwoo},
journal={journal of the audio engineering society},
title={active voice amplifier: on-device noisy environment-aware solution for dialogue enhancement in real time},
year={2023},
volume={71},
number={3},
pages={129-137},
doi={https://doi.org/10.17743/jaes.2022.0065},
month={march},}
@article{cho2023active,
author={cho, jaeyoun and kim, sunmin and hwang, inwoo},
journal={journal of the audio engineering society},
title={active voice amplifier: on-device noisy environment-aware solution for dialogue enhancement in real time},
year={2023},
volume={71},
number={3},
pages={129-137},
doi={https://doi.org/10.17743/jaes.2022.0065},
month={march},
abstract={since a cathode-ray tube television was introduced first to the consumers in the late 1920s, a variety of multimedia device form-factors has appeared in the consumer market until now. although the values of multimedia devices had been mostly put on picture quality and sound quality in the past, it is undoubtedly told at this moment that user experience is the most important and attractive value for the multimedia products. as for now, almost all outstanding features of the brand-new products are the technologies about user convenience such as voice user interaction, device unlock, contents recommendation, and so on. likewise, an unprecedented feature of smart tvs, the active voice amplifier, was introduced in the consumer electronics show 2020, and it detects disturbing noise and enhances voice clarity accordingly and automatically. to design this feature and make it work in real time on real devices, state-ofthe- art signal processing methods and deep learning technologies are integrated in a function for the novel approach of noisy environment detection and speech extraction from multimedia audio contents. this paper overviews what this function pursues in user experience, describes how it was designed in terms of signal processing methods, and demonstrates how effectively it works on real-time tv systems.},}
TY - report
TI - Active Voice Amplifier: On-Device Noisy Environment-Aware Solution for Dialogue Enhancement in Real Time
SP - 129
EP - 137
AU - Cho, Jaeyoun
AU - Kim, Sunmin
AU - Hwang, Inwoo
PY - 2023
JO - Journal of the Audio Engineering Society
IS - 3
VO - 71
VL - 71
Y1 - March 2023
TY - report
TI - Active Voice Amplifier: On-Device Noisy Environment-Aware Solution for Dialogue Enhancement in Real Time
SP - 129
EP - 137
AU - Cho, Jaeyoun
AU - Kim, Sunmin
AU - Hwang, Inwoo
PY - 2023
JO - Journal of the Audio Engineering Society
IS - 3
VO - 71
VL - 71
Y1 - March 2023
AB - Since a cathode-ray tube television was introduced first to the consumers in the late 1920s, a variety of multimedia device form-factors has appeared in the consumer market until now. Although the values of multimedia devices had been mostly put on picture quality and sound quality in the past, it is undoubtedly told at this moment that user experience is the most important and attractive value for the multimedia products. As for now, almost all outstanding features of the brand-new products are the technologies about user convenience such as voice user interaction, device unlock, contents recommendation, and so on. Likewise, an unprecedented feature of smart TVs, the Active Voice Amplifier, was introduced in the Consumer Electronics Show 2020, and it detects disturbing noise and enhances voice clarity accordingly and automatically. To design this feature and make it work in real time on real devices, state-ofthe- art signal processing methods and deep learning technologies are integrated in a function for the novel approach of noisy environment detection and speech extraction from multimedia audio contents. This paper overviews what this function pursues in user experience, describes how it was designed in terms of signal processing methods, and demonstrates how effectively it works on real-time TV systems.
Since a cathode-ray tube television was introduced first to the consumers in the late 1920s, a variety of multimedia device form-factors has appeared in the consumer market until now. Although the values of multimedia devices had been mostly put on picture quality and sound quality in the past, it is undoubtedly told at this moment that user experience is the most important and attractive value for the multimedia products. As for now, almost all outstanding features of the brand-new products are the technologies about user convenience such as voice user interaction, device unlock, contents recommendation, and so on. Likewise, an unprecedented feature of smart TVs, the Active Voice Amplifier, was introduced in the Consumer Electronics Show 2020, and it detects disturbing noise and enhances voice clarity accordingly and automatically. To design this feature and make it work in real time on real devices, state-ofthe- art signal processing methods and deep learning technologies are integrated in a function for the novel approach of noisy environment detection and speech extraction from multimedia audio contents. This paper overviews what this function pursues in user experience, describes how it was designed in terms of signal processing methods, and demonstrates how effectively it works on real-time TV systems.
Authors:
Cho, Jaeyoun; Kim, Sunmin; Hwang, Inwoo
Affiliation:
Samsung Electronics Co., Ltd., Suwon, South Korea JAES Volume 71 Issue 3 pp. 129-137; March 2023
Publication Date:
March 7, 2023Import into BibTeX
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=22036