Recognition of phoneme strings using TRAP technique
Petr Schwarz, Pavel Matějka, Jaň Černocký · 2003
We investigate and compare several techniques for automatic recognition of unconstrained context-independent phoneme strings from TIMIT and NTIMIT databases. Among the com-pared techniques, the technique based on TempoRAl Patterns (TRAP) achieves the best results in the clean speech, it achieves about 10 % relative improovements against baseline system. Its advantage is also observed in the presence of mismatch be-tween training and testing conditions. Issues such as the op-timal length of temporal patterns in the TRAP technique and the effectiveness of mean and variance normalization of the pat-terns and the multi-band input the TRAP estimations, are also explored. 1.