Language-identification based on cross-language acoustic models and optimised information combination
Ove Andersen, Paul Dalsgaard · 1997
decoding, the second transforms the parameters from This work is concerned with the subject of language- the decoding module and classifies the language. identification (LID). Two central issues are addressed. The common acoustic signal preprocessor calculates The first is to analyse the trade-off between detailed 12 RASTA filtered MFCC's, their first derivatives and acoustic modelling and robust estimation of acoustic the delta-log-energy. The phone and language decoding and language models. The second to find the optimal module consists of three parallel branches. In each of combination of acoustic and language scores for language- these the phone recogniser matches the acoustic identification. parameters to the acoustic models used by that recogniser. Experiments are carried out using the three languages The output from each recogniser is further matched American-English, German and Spanish from the OGI-TS against three language models. database. It is shown that on the average th...