Development of an acoustically adaptive modular system for near real-time clarity-enhancement

Alexander Liu Cheng; Patricio Cruz; Nestor Llorca Vega; Andrés Mena

doi:10.1007/978-3-030-34255-5_12

Development of an acoustically adaptive modular system for near real-time clarity-enhancement

Alexander Liu Cheng^*, Patricio Cruz, Nestor Llorca Vega, Andrés Mena

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

This paper details the development of an acoustically adaptive modular system capable of enhancing Speech Clarity (C₅₀ Clarity Index) in specific locations within a space in near real-time. The mechanical component of the system consists of quadrilateral, truncated pyramidal modules that extend or retract perpendicularly to their base. This enables said modules (1) to change in the steepness of the sides of their frustum, which changes the way incoming sound waves are deflected/reflected/diffused by the surfaces of the pyramid; and (2) to reveal or to hide the absorbent material under each module, which enables a portion of incoming sound waves to be absorbed/dissipated in a controlled manner. The present setup considers a fragmentary implementation of six modules. The behavior of these modules is determined by two steps in the computational component of the system. First, the initial position of the modules is set via a model previously generated by an evolutionary solver, which identifies the optimal extension/retraction extent of each of the six modules to select for individual configurations that collectively ascertain the highest clarity in said specific locations. Second, a simulated receiver at the location in question measures the actual clarity attained and updates the model’s database with respect to the configuration’s corresponding clarity-value. Since the nature of acoustics is not exact, if the attained measurement is lower than the model’s prediction for said location under the best module-configuration, but higher than the second-best configuration for the same location, the modules remain at the initial configuration. However, if the attained values are lower, this step reconfigures the modules to instantiate the second—or third-, fourth-, etc.—best configuration and updates the model’s database with respect to the new optimal module-configuration value. These steps repeat each time the user moves to another specific location. The objective of the system is to contribute to the intelligent and intuitive Speech Clarity regulation of an inhabited space. This contributes to its Interior Environmental Quality, which promotes well-being and quality of life.

Original language	English
Title of host publication	Ambient Intelligence - 15th European Conference, AmI 2019, Proceedings
Editors	Ioannis Chatzigiannakis, Boris De Ruyter, Irene Mavrommati
Publisher	Springer
Pages	170-185
Number of pages	16
ISBN (Print)	9783030342548
DOIs	https://doi.org/10.1007/978-3-030-34255-5_12
State	Published - 2019
Externally published	Yes
Event	15th European Conference on Ambient Intelligence, AmI 2019 - Rome, Italy Duration: 13 Nov 2019 → 15 Nov 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11912 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	15th European Conference on Ambient Intelligence, AmI 2019
Country/Territory	Italy
City	Rome
Period	13/11/19 → 15/11/19

Bibliographical note

Publisher Copyright:
© Springer Nature Switzerland AG 2019.

Funding

Acknowledgements. The authors wish to acknowledge Cristian Amaguaña, Juan Balseca, and Dario Cabascango, students of the Faculty of Electrical & Electronic Engineering at Escuela Politécnica Nacional, for their assistance in the assembly of the physical implementation. Part of the present implementation was made possible by funding from Universidad Internacional SEK’s Project No. P111819. The authors wish to acknowledge Cristian Amaguaña, Juan Balseca, and Dario Cabascango, students of the Faculty of Electrical & Electronic Engineering at Escuela Politécnica Nacional, for their assistance in the assembly of the physical implementation. Part of the present implementation was made possible by funding from Universidad Internacional SEK’s Project No. P111819.

Funders	Funder number
Faculty of Electrical & Electronic Engineering at Escuela Politécnica Nacional
Universidad Internacional SEK	P111819

Keywords

Adaptive acoustics
Cyber-physical systems
Internet of Things

Access to Document

10.1007/978-3-030-34255-5_12

Cite this

Liu Cheng, A., Cruz, P., Llorca Vega, N., & Mena, A. (2019). Development of an acoustically adaptive modular system for near real-time clarity-enhancement. In I. Chatzigiannakis, B. De Ruyter, & I. Mavrommati (Eds.), Ambient Intelligence - 15th European Conference, AmI 2019, Proceedings (pp. 170-185). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11912 LNCS). Springer. https://doi.org/10.1007/978-3-030-34255-5_12

Liu Cheng, Alexander ; Cruz, Patricio ; Llorca Vega, Nestor et al. / Development of an acoustically adaptive modular system for near real-time clarity-enhancement. Ambient Intelligence - 15th European Conference, AmI 2019, Proceedings. editor / Ioannis Chatzigiannakis ; Boris De Ruyter ; Irene Mavrommati. Springer, 2019. pp. 170-185 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{1b31439afe0a41f783791dd56d37f5ef,

title = "Development of an acoustically adaptive modular system for near real-time clarity-enhancement",

abstract = "This paper details the development of an acoustically adaptive modular system capable of enhancing Speech Clarity (C50 Clarity Index) in specific locations within a space in near real-time. The mechanical component of the system consists of quadrilateral, truncated pyramidal modules that extend or retract perpendicularly to their base. This enables said modules (1) to change in the steepness of the sides of their frustum, which changes the way incoming sound waves are deflected/reflected/diffused by the surfaces of the pyramid; and (2) to reveal or to hide the absorbent material under each module, which enables a portion of incoming sound waves to be absorbed/dissipated in a controlled manner. The present setup considers a fragmentary implementation of six modules. The behavior of these modules is determined by two steps in the computational component of the system. First, the initial position of the modules is set via a model previously generated by an evolutionary solver, which identifies the optimal extension/retraction extent of each of the six modules to select for individual configurations that collectively ascertain the highest clarity in said specific locations. Second, a simulated receiver at the location in question measures the actual clarity attained and updates the model{\textquoteright}s database with respect to the configuration{\textquoteright}s corresponding clarity-value. Since the nature of acoustics is not exact, if the attained measurement is lower than the model{\textquoteright}s prediction for said location under the best module-configuration, but higher than the second-best configuration for the same location, the modules remain at the initial configuration. However, if the attained values are lower, this step reconfigures the modules to instantiate the second—or third-, fourth-, etc.—best configuration and updates the model{\textquoteright}s database with respect to the new optimal module-configuration value. These steps repeat each time the user moves to another specific location. The objective of the system is to contribute to the intelligent and intuitive Speech Clarity regulation of an inhabited space. This contributes to its Interior Environmental Quality, which promotes well-being and quality of life.",

keywords = "Adaptive acoustics, Cyber-physical systems, Internet of Things",

author = "\{Liu Cheng\}, Alexander and Patricio Cruz and \{Llorca Vega\}, Nestor and Andr{\'e}s Mena",

note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; 15th European Conference on Ambient Intelligence, AmI 2019 ; Conference date: 13-11-2019 Through 15-11-2019",

year = "2019",

doi = "10.1007/978-3-030-34255-5\_12",

language = "English",

isbn = "9783030342548",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer",

pages = "170--185",

editor = "Ioannis Chatzigiannakis and \{De Ruyter\}, Boris and Irene Mavrommati",

booktitle = "Ambient Intelligence - 15th European Conference, AmI 2019, Proceedings",

}

Liu Cheng, A, Cruz, P, Llorca Vega, N & Mena, A 2019, Development of an acoustically adaptive modular system for near real-time clarity-enhancement. in I Chatzigiannakis, B De Ruyter & I Mavrommati (eds), Ambient Intelligence - 15th European Conference, AmI 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11912 LNCS, Springer, pp. 170-185, 15th European Conference on Ambient Intelligence, AmI 2019, Rome, Italy, 13/11/19. https://doi.org/10.1007/978-3-030-34255-5_12

Development of an acoustically adaptive modular system for near real-time clarity-enhancement. / Liu Cheng, Alexander; Cruz, Patricio; Llorca Vega, Nestor et al.
Ambient Intelligence - 15th European Conference, AmI 2019, Proceedings. ed. / Ioannis Chatzigiannakis; Boris De Ruyter; Irene Mavrommati. Springer, 2019. p. 170-185 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11912 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Development of an acoustically adaptive modular system for near real-time clarity-enhancement

AU - Liu Cheng, Alexander

AU - Cruz, Patricio

AU - Llorca Vega, Nestor

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N1 - Publisher Copyright: © Springer Nature Switzerland AG 2019.

PY - 2019

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N2 - This paper details the development of an acoustically adaptive modular system capable of enhancing Speech Clarity (C50 Clarity Index) in specific locations within a space in near real-time. The mechanical component of the system consists of quadrilateral, truncated pyramidal modules that extend or retract perpendicularly to their base. This enables said modules (1) to change in the steepness of the sides of their frustum, which changes the way incoming sound waves are deflected/reflected/diffused by the surfaces of the pyramid; and (2) to reveal or to hide the absorbent material under each module, which enables a portion of incoming sound waves to be absorbed/dissipated in a controlled manner. The present setup considers a fragmentary implementation of six modules. The behavior of these modules is determined by two steps in the computational component of the system. First, the initial position of the modules is set via a model previously generated by an evolutionary solver, which identifies the optimal extension/retraction extent of each of the six modules to select for individual configurations that collectively ascertain the highest clarity in said specific locations. Second, a simulated receiver at the location in question measures the actual clarity attained and updates the model’s database with respect to the configuration’s corresponding clarity-value. Since the nature of acoustics is not exact, if the attained measurement is lower than the model’s prediction for said location under the best module-configuration, but higher than the second-best configuration for the same location, the modules remain at the initial configuration. However, if the attained values are lower, this step reconfigures the modules to instantiate the second—or third-, fourth-, etc.—best configuration and updates the model’s database with respect to the new optimal module-configuration value. These steps repeat each time the user moves to another specific location. The objective of the system is to contribute to the intelligent and intuitive Speech Clarity regulation of an inhabited space. This contributes to its Interior Environmental Quality, which promotes well-being and quality of life.

AB - This paper details the development of an acoustically adaptive modular system capable of enhancing Speech Clarity (C50 Clarity Index) in specific locations within a space in near real-time. The mechanical component of the system consists of quadrilateral, truncated pyramidal modules that extend or retract perpendicularly to their base. This enables said modules (1) to change in the steepness of the sides of their frustum, which changes the way incoming sound waves are deflected/reflected/diffused by the surfaces of the pyramid; and (2) to reveal or to hide the absorbent material under each module, which enables a portion of incoming sound waves to be absorbed/dissipated in a controlled manner. The present setup considers a fragmentary implementation of six modules. The behavior of these modules is determined by two steps in the computational component of the system. First, the initial position of the modules is set via a model previously generated by an evolutionary solver, which identifies the optimal extension/retraction extent of each of the six modules to select for individual configurations that collectively ascertain the highest clarity in said specific locations. Second, a simulated receiver at the location in question measures the actual clarity attained and updates the model’s database with respect to the configuration’s corresponding clarity-value. Since the nature of acoustics is not exact, if the attained measurement is lower than the model’s prediction for said location under the best module-configuration, but higher than the second-best configuration for the same location, the modules remain at the initial configuration. However, if the attained values are lower, this step reconfigures the modules to instantiate the second—or third-, fourth-, etc.—best configuration and updates the model’s database with respect to the new optimal module-configuration value. These steps repeat each time the user moves to another specific location. The objective of the system is to contribute to the intelligent and intuitive Speech Clarity regulation of an inhabited space. This contributes to its Interior Environmental Quality, which promotes well-being and quality of life.

KW - Adaptive acoustics

KW - Cyber-physical systems

KW - Internet of Things

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DO - 10.1007/978-3-030-34255-5_12

M3 - Conference contribution

AN - SCOPUS:85076277277

SN - 9783030342548

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 170

EP - 185

BT - Ambient Intelligence - 15th European Conference, AmI 2019, Proceedings

A2 - Chatzigiannakis, Ioannis

A2 - De Ruyter, Boris

A2 - Mavrommati, Irene

PB - Springer

T2 - 15th European Conference on Ambient Intelligence, AmI 2019

Y2 - 13 November 2019 through 15 November 2019

ER -

Liu Cheng A, Cruz P, Llorca Vega N, Mena A. Development of an acoustically adaptive modular system for near real-time clarity-enhancement. In Chatzigiannakis I, De Ruyter B, Mavrommati I, editors, Ambient Intelligence - 15th European Conference, AmI 2019, Proceedings. Springer. 2019. p. 170-185. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-34255-5_12

Development of an acoustically adaptive modular system for near real-time clarity-enhancement

Abstract

Publication series

Conference

Bibliographical note

Funding

Keywords

Access to Document

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