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Improving Speech Recognition through Automatic Selection of Age Group Specific Acoustic Models

Hämäläinen, Annika and Meinedo, Hugo and Tjalve, Michael and Pellegrini, Thomas and Trancoso, Isabel and Sales Dias, Miguel Improving Speech Recognition through Automatic Selection of Age Group Specific Acoustic Models. (2014) In: International Conference on Computational Processing of Portuguese - PROPOR 2014, 6 October 2014 - 9 October 2014 (São Carlos, Brazil).

(Document in English)

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Official URL: http://dx.doi.org/10.1007/978-3-319-09761-9_2


The acoustic models used by automatic speech recognisers are usually trained with speech collected from young to middle-aged adults. As the characteristics of speech change with age, such acoustic models tend to perform poorly on children's and elderly people's speech. In this study, we investigate whether the automatic age group classification of speakers, together with age group -specific acoustic models, could improve automatic speech recognition performance. We train an age group classifier with an accuracy of about 95% and show that using the results of the classifier to select age group -specific acoustic models for children and the elderly leads to considerable gains in automatic speech recognition performance, as compared with using acoustic models trained with young to middle-aged adults' speech for recognising their speech, as well.

Item Type:Conference or Workshop Item (Paper)
HAL Id:hal-01146743
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Other partners > Universidade de Coimbra (PORTUGAL)
Other partners > Instituto de Engenharia de Sistemas e Computadores - Investigação e Desenvolvimento - INESC-ID (PORTUGAL)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Other partners > Instituto Universitario de Lisboa - ISCTE IUL (PORTUGAL)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Microsoft (USA)
Other partners > Universidade de Lisboa - ULisboa (PORTUGAL)
Other partners > University of Washington (USA)
Laboratory name:
Deposited On:29 Apr 2015 06:21

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