Presentation quality assessment using acoustic information and hand movements

Fasih Haider; Loredana Cerrato; Nick Campbell; Saturnino Luz Filho

doi:10.1109/ICASSP.2016.7472190

Presentation quality assessment using acoustic information and hand movements

Fasih Haider, Loredana Cerrato, Nick Campbell, Saturnino Luz Filho

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

Abstract

This study focuses on prosodic and gestural features that contribute to the positive judgement of public oral presentations. The general hypothesis is that certain prosodic characteristics, such as high pitch variation and perceived loudness, together with the production of natural hand gestures, influence the audience's perception of the speaker as a good presenter. Being able to identify features that can give an indication of a good presenter is useful for applications in the field of skills training, where automatic feedback could be provided to trainees at the end of their presentation about the extent to which they have been able to use their voices and gestures to keep the audience engaged. For this reason, we also propose a method, based on prosodic and visual features, able to categorise presentation quality with high accuracy.

Original language	English
Title of host publication	Proceedings of the 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Place of Publication	Shanghai, China
Publisher	Institute of Electrical and Electronics Engineers
Pages	2812-2816
Number of pages	5
ISBN (Electronic)	978-1-4799-9988-0, 978-1-4799-9987-3
DOIs	https://doi.org/10.1109/ICASSP.2016.7472190
Publication status	Published - 1 Mar 2016
Event	41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Shanghai, China Duration: 20 Mar 2016 → 25 Mar 2016

Publication series

Name
ISSN (Electronic)	2379-190X

Conference

Conference	41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016
Country/Territory	China
City	Shanghai
Period	20/03/16 → 25/03/16

Keywords / Materials (for Non-textual outputs)

gesture recognition
image motion analysis
acoustic information
gestural features
hand movements
high pitch variation
natural hand gesture production
perceived loudness
presentation quality assessment
prosodic features
public oral presentations
Analysis of variance
Correlation
Feature extraction
Speech
Standards
Testing
Visualization
Gestures Analysis
Multimodal Signal Processing
Prosodic Analysis

Access to Document

10.1109/ICASSP.2016.7472190

Saturnino Luz Filho
- Deanery of Molecular, Genetic and Population Health Sciences - Personal Chair of Digital Biomarkers and Precision Medicine
- Usher Institute
- Centre for Medical Informatics
- Data Science and Artificial Intelligence
Person: Academic: Research Active

Cite this

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title = "Presentation quality assessment using acoustic information and hand movements",

abstract = "This study focuses on prosodic and gestural features that contribute to the positive judgement of public oral presentations. The general hypothesis is that certain prosodic characteristics, such as high pitch variation and perceived loudness, together with the production of natural hand gestures, influence the audience's perception of the speaker as a good presenter. Being able to identify features that can give an indication of a good presenter is useful for applications in the field of skills training, where automatic feedback could be provided to trainees at the end of their presentation about the extent to which they have been able to use their voices and gestures to keep the audience engaged. For this reason, we also propose a method, based on prosodic and visual features, able to categorise presentation quality with high accuracy.",

keywords = "gesture recognition, image motion analysis, acoustic information, gestural features, hand movements, high pitch variation, natural hand gesture production, perceived loudness, presentation quality assessment, prosodic features, public oral presentations, Analysis of variance, Correlation, Feature extraction, Speech, Standards, Testing, Visualization, Gestures Analysis, Multimodal Signal Processing, Prosodic Analysis",

author = "Fasih Haider and Loredana Cerrato and Nick Campbell and {Luz Filho}, Saturnino",

year = "2016",

month = mar,

day = "1",

doi = "10.1109/ICASSP.2016.7472190",

language = "English",

publisher = "Institute of Electrical and Electronics Engineers",

pages = "2812--2816",

booktitle = "Proceedings of the 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)",

address = "United States",

note = "41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 ; Conference date: 20-03-2016 Through 25-03-2016",

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Haider, F, Cerrato, L, Campbell, N & Luz Filho, S 2016, Presentation quality assessment using acoustic information and hand movements. in Proceedings of the 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Institute of Electrical and Electronics Engineers, Shanghai, China, pp. 2812-2816, 41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016, Shanghai, China, 20/03/16. https://doi.org/10.1109/ICASSP.2016.7472190

Presentation quality assessment using acoustic information and hand movements. / Haider, Fasih; Cerrato, Loredana; Campbell, Nick et al.
Proceedings of the 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Shanghai, China: Institute of Electrical and Electronics Engineers, 2016. p. 2812-2816.

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

TY - GEN

T1 - Presentation quality assessment using acoustic information and hand movements

AU - Haider, Fasih

AU - Cerrato, Loredana

AU - Campbell, Nick

AU - Luz Filho, Saturnino

PY - 2016/3/1

Y1 - 2016/3/1

N2 - This study focuses on prosodic and gestural features that contribute to the positive judgement of public oral presentations. The general hypothesis is that certain prosodic characteristics, such as high pitch variation and perceived loudness, together with the production of natural hand gestures, influence the audience's perception of the speaker as a good presenter. Being able to identify features that can give an indication of a good presenter is useful for applications in the field of skills training, where automatic feedback could be provided to trainees at the end of their presentation about the extent to which they have been able to use their voices and gestures to keep the audience engaged. For this reason, we also propose a method, based on prosodic and visual features, able to categorise presentation quality with high accuracy.

AB - This study focuses on prosodic and gestural features that contribute to the positive judgement of public oral presentations. The general hypothesis is that certain prosodic characteristics, such as high pitch variation and perceived loudness, together with the production of natural hand gestures, influence the audience's perception of the speaker as a good presenter. Being able to identify features that can give an indication of a good presenter is useful for applications in the field of skills training, where automatic feedback could be provided to trainees at the end of their presentation about the extent to which they have been able to use their voices and gestures to keep the audience engaged. For this reason, we also propose a method, based on prosodic and visual features, able to categorise presentation quality with high accuracy.

KW - gesture recognition

KW - image motion analysis

KW - acoustic information

KW - gestural features

KW - hand movements

KW - high pitch variation

KW - natural hand gesture production

KW - perceived loudness

KW - presentation quality assessment

KW - prosodic features

KW - public oral presentations

KW - Analysis of variance

KW - Correlation

KW - Feature extraction

KW - Speech

KW - Standards

KW - Testing

KW - Visualization

KW - Gestures Analysis

KW - Multimodal Signal Processing

KW - Prosodic Analysis

U2 - 10.1109/ICASSP.2016.7472190

DO - 10.1109/ICASSP.2016.7472190

M3 - Conference contribution

SP - 2812

EP - 2816

BT - Proceedings of the 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

PB - Institute of Electrical and Electronics Engineers

CY - Shanghai, China

T2 - 41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016

Y2 - 20 March 2016 through 25 March 2016

ER -

Presentation quality assessment using acoustic information and hand movements

Abstract

Publication series

Conference

Keywords / Materials (for Non-textual outputs)

Access to Document

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Saturnino Luz Filho

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