ASR based on the analasys of the short-melfrequencycepstra time transform

Authors:
Juan Arturo Nolazco-Flores
Affiliations:
Computer Science Department, ITESM, Monterrey, N.L., México
Venue:
MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence
Year:
2005

Citing 4
Cited 0

Time-frequency analysis: theory and applications

Time-frequency analysis: theory and applications
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Abstract

In this work, we propose to use as source of speech information the Short-MelfrequencyCepstra Time Transform (SMCTT), cτ(t). The SMCTT studies the time properties at quefrency τ. Since the SMCTT signal, cτ(t), comes from a nonlinear transformation of the speech signal, s(t), it makes the STMCTT a potential signal with new properties in time, frequency, quefrency, etc. The goal of this work is to present the performance of the SMCTT signal when the SMCTT is applied to an Automatic Speech Recognition (ASR) task. Our experiment results show that important information is given by this SMCTT waveform, cτ(t).