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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Pascoal, R. (2017). Adapting Speech Recognition in Augmented Reality for Mobile Devices in Outdoor Environments. SLATE.
Exportar Referência (IEEE) 
R. M. Pascoal,  "Adapting Speech Recognition in Augmented Reality for Mobile Devices in Outdoor Environments", in SLATE, 2017
Exportar BibTeX 
@misc{pascoal2017_1714854734489,
	author = "Pascoal, R.",
	title = "Adapting Speech Recognition in Augmented Reality for Mobile Devices in Outdoor Environments",
	year = "2017"
}
Exportar RIS 
TY  - CPAPER
TI  - Adapting Speech Recognition in Augmented Reality for Mobile Devices in Outdoor Environments
T2  - SLATE
AU  - Pascoal, R.
PY  - 2017
AB  - This paper describes the process of integrating automatic speech recognition (ASR) into a mobile
application and explores the benefits and challenges of integrating speech with augmented reality
(AR) in outdoor environments. The augmented reality allows end-users to interact with the
information displayed and perform tasks, while increasing the user’s perception about the real
world by adding virtual information to it. Speech is the most natural way of communication:
it allows hands-free interaction and may allow end-users to quickly and easily access a range of
features available. Speech recognition technology is often available in most of the current mobile
devices, but it often uses Internet to receive the corresponding transcript from remote servers,
e.g., Google speech recognition. However, in some outdoor environments, Internet is not always
available or may be offered at poor quality. We integrated an off-line automatic speech recognition
module into an AR application for outdoor usage that does not require Internet. Currently,
speech interaction is used within the application to access five different features, namely: to take
a photo, shoot a film, communicate, messaging related tasks, and to request information, either
geographic, biometric, or climatic. The application makes available solutions to manage and
interact with the mobile device, offering good usability. We have compared the online and offline
speech recognition systems in order to assess their adequacy to the tasks. Both systems were
tested under different conditions, commonly found in outdoor environments, such as: Internet
access quality, presence of noise, and distractions.
ER  -