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Hämäläinen, A., Moreira, F. P., Dias, J., Júdice, A., Freitas, J., Pires, C....Daniela Braga (2012). The first European Portuguese elderly speech corpus. In Doroteo Torre Toledano, Alfonso Ortega Giménez , António Teixeira, Joaquín González Rodríguez, Luis Hernández Gómez, Rubén San Segundo Hernández, Daniel Ramos Castro (Ed.), Proceedings das Jornadas en Tecnologia del Habla and Iberian SLTech Workshop (IberSPEECH 2012). Madrid: Springer .
A. Hämäläinen et al., "The first European Portuguese elderly speech corpus", in Proc. das Jornadas en Tecnologia del Habla and Iberian SLTech Workshop (IberSPEECH 2012), Doroteo Torre Toledano, Alfonso Ortega Giménez , António Teixeira, Joaquín González Rodríguez, Luis Hernández Gómez, Rubén San Segundo Hernández, Daniel Ramos Castro, Ed., Madrid, Springer , 2012
@inproceedings{hämäläinen2012_1732211897672, author = "Hämäläinen, A. and Moreira, F. P. and Dias, J. and Júdice, A. and Freitas, J. and Pires, C. and Teixeira, V. and Calado, A. and Daniela Braga", title = "The first European Portuguese elderly speech corpus", booktitle = "Proceedings das Jornadas en Tecnologia del Habla and Iberian SLTech Workshop (IberSPEECH 2012)", year = "2012", editor = "Doroteo Torre Toledano, Alfonso Ortega Giménez , António Teixeira, Joaquín González Rodríguez, Luis Hernández Gómez, Rubén San Segundo Hernández, Daniel Ramos Castro", volume = "", number = "", series = "", doi = "10.5555/2464849", publisher = "Springer ", address = "Madrid", organization = "Autonomous University of Madrid", url = "https://dblp.org/db/conf/iberspeech/iberspeech2012.html" }
TY - CPAPER TI - The first European Portuguese elderly speech corpus T2 - Proceedings das Jornadas en Tecnologia del Habla and Iberian SLTech Workshop (IberSPEECH 2012) AU - Hämäläinen, A. AU - Moreira, F. P. AU - Dias, J. AU - Júdice, A. AU - Freitas, J. AU - Pires, C. AU - Teixeira, V. AU - Calado, A. AU - Daniela Braga PY - 2012 DO - 10.5555/2464849 CY - Madrid UR - https://dblp.org/db/conf/iberspeech/iberspeech2012.html AB - Currently, available speech recognisers do not usually work well with elderly speech because the underlying acoustic models have typically been trained using speech collected from younger adults only. To develop speech-driven systems capable of successfully recognising elderly speech, a sufficient amount of elderly speech data is needed for training the acoustic models. This paper describes an elderly read speech data collection effort carried out in Portugal from the autumn of 2010 until the spring of 2012, applying a low-cost proctored data collection methodology using our in-house data collection platform, Your Speech. The resulting corpus of Portuguese elderly speech contains almost 90 hours of pure speech (speech with silences excluded). The transcriptions for about half of the data have already been manually verified and annotated for noises and disfluencies. ER -