SpeeD @ MediaEval 2015: Multilingual Phone Recognition Approach to Query By Example STD
Alexandru Caranica, Andi Buzo, Horia Cucu, Corneliu Burileanu · MediaEval · 2015
this paper, we attempt to solve the Spoken Term Detection (STD) problem for under-resourced languages by a phone recognition approach within the Automatic Speech Recognition (ASR) paradigm, with multilingual acoustic models from six languages (Albanian, Czech, English, Hungarian, Romanian and Russian). The Power Normalized Cepstral Coefficients (PNCC) features are used for improved robustness to noise, along with Phone Posteriorgrams in order to obtain content-aware acoustic features as independent as possible from speaker and acoustic environment.