Cited By
View all- Aylett MClark LCowan BTorre I(2021)Building and Designing Expressive Speech SynthesisThe Handbook on Socially Interactive Agents10.1145/3477322.3477329(173-212)Online publication date: 10-Sep-2021
Designing speech interaction for the Sony Xperia Ear and Oakley Radar Pace smartglasses
Pages 379 - 384
Abstract
Speech synthesis is a key enabling technology for wearable technology. We discuss the design challenges in customising speech synthesis for the Sony Xperia Ear, and the Oakley Radar Pace smartglasses. In order to support speech interaction designers working on novel interactive eye-free mobile devices, specific functionality is required including: flexibility in terms of performance, memory footprint, disk requirements, server or local configurations, methods for personification and branding, architectures for fast reactive interfaces, and customisation for content, genres and speech styles. We describe implementations of this required functionality and how this functionality can be made available to engineers and designers working on 3rd party devices and the impact they can have on user experience. To conclude we discuss why some customers are reluctant to depend on speech services from well known providers such as Google and Amazon and consider the barrier to entry for custom built personal digital advisors.
References
[1]
M.P. Aylett and C.J. Pidcock. 2008. Adding and Controlling Emotion in Synthesised Speech. (10 September 2008). UK Patent GB2447263A.
[2]
Matthew P Aylett, Per Ola Kristensson, Steve Whittaker, and Yolanda Vazquez-Alvarez. 2014. None of a CHInd: relationship counselling for HCI and speech technology. In CHI'14. ACM, 749--760.
[3]
Matthew P Aylett and Shaun Lawson. 2016. The Smartphone: A Lacanian Stain, A Tech Killer, and an Embodiment of Radical Individualism. In CHI'16. ACM, 501--511.
[4]
Matthew P. Aylett and Christopher J. Pidcock. 2007. The Cere Voice Characterful Speech Synthesiser SDK. In AISB. 174--8.
[5]
Matthew P Aylett, Graham Pullin, David A Braude, Blaise Potard, Shannon Hennig, and Marilia Antunes Ferreira. 2016. Don't Say Yes, Say Yes: Interacting with Synthetic Speech Using Tonetable. In CHI'16. ACM, 3643--3646.
[6]
Matthew P Aylett, Alessandro Vinciarelli, and Mirjam Wester. 2017. Speech Synthesis for the Generation of Artificial Personality. IEEE Transactions on Affective Computing (2017).
[7]
Cosmin Munteanu, Matt Jones, Sharon Oviatt, Stephen Brewster, Gerald Penn, Steve Whittaker, Nitendra Rajput, and Amit Nanavati. 2013. We need to talk: HCI and the delicate topic of spoken language interaction. In CHI'13. ACM, 2459--2464.
[8]
C. Nass and S. Brave. 2005. Wired for speech: How voice activates and advances the Human-Computer relationship. The MIT Press.
[9]
Ben Shneiderman. 2000. The limits of speech recognition. Commun. ACM 43, 9 (2000), 63--65.
[10]
Thad E Starner. 2002. The role of speech input in wearable computing. Pervasive Computing, IEEE 1, 3 (2002), 89--93.
Recommendations
Speech-Input Speech-Output Communication for Dysarthric Speakers Using HMM-Based Speech Recognition and Adaptive Synthesis System
Dysarthria is a motor speech disorder that causes inability to control and coordinate one or more articulators. This makes it difficult for a dysarthric speaker to utter certain speech sound units, thereby producing poorly articulated, slurred, and ...
Automatic Speech Recognition Used for Intelligibility Assessment of Text-to-Speech Systems
Verbal and Nonverbal Features of Human-Human and Human-Machine InteractionSpeech intelligibility is the most important parameter in evaluation of speech quality. In the contribution, a new objective intelligibility assessment of general speech processing algorithms is proposed. It is based on automatic recognition methods ...
Speech Synthesis Research Based on EGG
GREENCOM-ITHINGS-CPSCOM '13: Proceedings of the 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social ComputingObjective: In this paper, Electroglottograph (EGG) is adopted to improve the naturalness of low bit-rate formant speech synthesis. Methods: EGG inverting waveform is used as glottal excitation of the formant speech synthesis. A new SUV divided method ...
Comments
Information & Contributors
Information
Published In
September 2018
445 pages
ISBN:9781450359412
DOI:10.1145/3236112
Copyright © 2018 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 03 September 2018
Check for updates
Author Tags
Qualifiers
- Extended-abstract
Conference
MobileHCI '18
Sponsor:
MobileHCI '18: 20th International Conference on Human-Computer Interaction with Mobile Devices and Services
September 3 - 6, 2018
Barcelona, Spain
Acceptance Rates
Overall Acceptance Rate 202 of 906 submissions, 22%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- View Citations1Total Citations
- 98Total Downloads
- Downloads (Last 12 months)6
- Downloads (Last 6 weeks)0
Reflects downloads up to 25 Feb 2025
Other Metrics
Citations
Cited By
View all- Aylett MClark LCowan BTorre I(2021)Building and Designing Expressive Speech SynthesisThe Handbook on Socially Interactive Agents10.1145/3477322.3477329(173-212)Online publication date: 10-Sep-2021
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in