TY - GEN
T1 - Speech recognition native module environment inherent in mobiles devices
AU - Carvajal-Gámez, Blanca E.
AU - Rubio, Erika Hernández
AU - Viveros, Amilcar Meneses
AU - Hernández-Castañeda, Francisco J.
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - Applications on mobile devices have been characterized for their usability. The voice is a natural means of interaction between users and mobile devices. Traditional speech recognition algorithms work in controlled media are targeted to specific population groups (e.g. age, gender or language to name of few), and also require a lot of computational resources so that the algorithms are effective. Therefore, pattern recognition is performed in mobile applications as web services. However, this type of solution generates high dependence on Internet connectivity, so it is desirable to have an embedded module for this task that does not consume many computational resources and have a good level of effectiveness. This paper presents an embedded mobile systems for voice recognition module is presented. This module works in noisy environments, it works for any age of users and has proved that it can work for several languages.
AB - Applications on mobile devices have been characterized for their usability. The voice is a natural means of interaction between users and mobile devices. Traditional speech recognition algorithms work in controlled media are targeted to specific population groups (e.g. age, gender or language to name of few), and also require a lot of computational resources so that the algorithms are effective. Therefore, pattern recognition is performed in mobile applications as web services. However, this type of solution generates high dependence on Internet connectivity, so it is desirable to have an embedded module for this task that does not consume many computational resources and have a good level of effectiveness. This paper presents an embedded mobile systems for voice recognition module is presented. This module works in noisy environments, it works for any age of users and has proved that it can work for several languages.
UR - http://www.scopus.com/inward/record.url?scp=84947241590&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-20678-3_26
DO - 10.1007/978-3-319-20678-3_26
M3 - Contribución a la conferencia
SN - 9783319206776
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 267
EP - 278
BT - Universal Access in Human-Computer Interaction
A2 - Antona, Margherita
A2 - Stephanidis, Constantine
A2 - Stephanidis, Constantine
PB - Springer Verlag
T2 - 9th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2015 Held as Part of 17th International Conference on Human-Computer Interaction, HCI International 2015
Y2 - 2 August 2015 through 7 August 2015
ER -