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Reconnaissance automatique du locuteur embarquée dans un téléphone portable
| Content Provider | Semantic Scholar |
|---|---|
| Author | Larcher, Anthony Lévy, Christophe Matrouf, Driss Bonastre, Jean-François |
| Copyright Year | 2010 |
| Abstract | Embedded speaker recognition in mobile devices involves a limited amount of computing resources. However , the performance of state-of-the-art systems are usually evaluated without any limitation of material resources. In this paper, we evaluate several downsca-led configurations of the LIA UBM/GMM speaker verification system. The impact of scalability is evaluated in terms of memory resources and computational time. We propose two downscale configurations which allow a good compromise between resource consumption and performance degradation. Experiments performed on the Banca database show that the memory allocation and the computational time decrease of about 70% and 88% when the error rate raises from 3, 48% to 4, 77% or still comparable to the baseline. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://hal.archives-ouvertes.fr/hal-01317705/file/jep2010.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
