8th European Conference on Speech Communication and Technology

Geneva, Switzerland
September 1-4, 2003


Recognition of Phoneme Strings Using TRAP Technique

Petr Schwarz, Pavel Matejka, Jan Cernocký

Brno University of Technology, Czech Republic

We investigate and compare several techniques for automatic recognition of unconstrained context-independent phoneme strings from TIMIT and NTIMIT databases. Among the compared techniques, the technique based on TempoRAl Patterns (TRAP) achieves the best results in the clean speech, it achieves about 10% relative improvements against baseline system. Its advantage is also observed in the presence of mismatch between training and testing conditions. Issues such as the optimal length of temporal patterns in the TRAP technique and the effectiveness of mean and variance normalization of the patterns and the multi-band input the TRAP estimations, are also explored.

Full Paper

Bibliographic reference.  Schwarz, Petr / Matejka, Pavel / Cernocký, Jan (2003): "Recognition of phoneme strings using TRAP technique", In EUROSPEECH-2003, 825-828.