Publication

Swiss French Regional Accent Identification

2014
Conference Papers

Abstract

In this paper an attempt is made to automatically recognize the speaker’s accent among regional Swiss French accents from four different regions of Switzerland, i.e. Geneva (GE), Martigny (MA), Neuchˆatel (NE) and Nyon (NY). To achieve this goal, we rely on a generative probabilistic framework for classification based on Gaussian mixture modelling (GMM). Two different GMM-based algorithms are investigated: (1) the baseline technique of universal background modelling (UBM) followed by maximum-a-posteriori (MAP) adaptation, and (2) total variability (i-vector) modelling. Both systems perform well, with the i-vector-based system outperforming the baseline system, achieving a relative improvement of 17.1% in the overall regional accent identification accuracy.

Official source

https://infoscience.epfl.ch/entities/publication/97950fea-5276-4255-9813-f88a3578273a

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2014
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/97950fea-5276-4255-9813-f88a3578273a

About this result

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Related publications (7)

Swiss French Regional Accent Identification

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