Hierarchical Multilayer Perceptron based Language Identification
| Type of publication: | Conference paper |
| Citation: | Imseng_INTERSPEECH_2010 |
| Booktitle: | Proceedings of Interspeech |
| Year: | 2010 |
| Month: | 9 |
| Pages: | 2722-2725 |
| Location: | Makuhari, Japan |
| Crossref: | Imseng_Idiap-RR-14-2010: |
| Abstract: | Automatic language identification (LID) systems generally exploit acoustic knowledge, possibly enriched by explicit language specific phonotactic or lexical constraints. This paper investigates a new LID approach based on hierarchical multilayer perceptron (MLP) classifiers, where the first layer is a ``universal phoneme set MLP classifier''. The resulting (multilingual) phoneme posterior sequence is fed into a second MLP taking a larger temporal context into account. The second MLP can learn/exploit implicitly different types of patterns/information such as confusion between phonemes and/or phonotactics for LID. We investigate the viability of the proposed approach by comparing it against two standard approaches which use phonotactic and lexical constraints with the universal phoneme set MLP classifier as emission probability estimator. On SpeechDat(II) datasets of five European languages, the proposed approach yields significantly better performance compared to the two standard approaches. |
| Keywords: | |
| Projects |
Idiap SNSF-MULTI IM2 |
| Authors | |
| Added by: | [UNK] |
| Total mark: | 0 |
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