Project Details

Rozpoznávání řeči pro jazyky s omezeným množstvím trénovacích zdrojů

Project Period: 1. 1. 2012 - 31. 12. 2014

Project Type: grant

Code: GPP202/12/P604

Agency: Czech Science Foundation

Program: Postdoktorandské granty

English title
Speech recognition for low-resource languages

speech recognition, multilingual speech recognition, automatic dictionary generation, SGMM


The project aims at speech recognition in situations, where little training data and limited or no knowledge of liguistic and phonetics of the target language are available. In the domain of acoustic models, we will investigate modern techniques of GMM/HMM parameter representations in sub-spaces. The project will also focus on unsupervised creation of pronunciation dictionaries where sequences of phonemes will be replaced by graphemes or clusters of acoustic unites trained on data. Important parts of the project are tests on standard data and participation in international evaluations.

Team members
Karafiát Martin, Ing., Ph.D. (UPGM FIT VUT) , research leader
Janda Miloš, Ing. (UPGM FIT VUT) , team leader




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