Local Time-Frequency Operators in TRAPs for Speech Recognition

摘要

This paper describes tests with local operators applied to critical-band speech spectrum prior to temporal patterns (TRAPs) feature extraction. Tests are performed with an HMM recognizer on connected-digits task. We show that frequency differentiation, in combination with any other operator, improves the word-error rate (WER) of TRAP-based recognizer.