Learn More
A pitch-synchronous (PS) auditory feature extraction method based on ZCPA (Zero-Crossings Peak-Amplitudes) was proposed in [1] and showed more robust over the conventional ZCPA [2]. In this paper, we examine the effect of auditory masking, both simultaneous and temporal, into the proposed PS-ZCPA method. We also observe the effect of varying the number of(More)
With the aim of using an automatic speech recognition (ASR) system in practical environments, various approaches focused on noise-robustness such as noise adaptation and reduction techniques have been investigated. We have previously proposed a distinctive phonetic feature (DPF) parameter set for a noise-robust ASR system, which reduced the effect of(More)
Various approaches focused on noise-robustness have been investigated with the aim of using an automatic speech recognition (ASR) system in practical environments. We have previously proposed a distinctive phonetic feature (DPF) parameter set for a noise-robust ASR system, which reduced the effect of high-level additive noise[1]. This paper describes an(More)
SUMMARY A pitch-synchronous (PS) auditory feature extraction method based on ZCPA (Zero-Crossings Peak-Amplitudes) was proposed previously and showed more robustness over a conventional ZCPA and MFCC based features. In this paper, firstly, a non-linear adaptive threshold adjustment procedure is introduced into the PS-ZCPA method to get optimal results in(More)
Acoustic models (AMs) of an HMM-based classifier include various types of hidden variables such as gender type, speaking rate, and acoustic environment. If there exists a canonicalization process that reduces the influence of the hidden variables from the AMs, a robust automatic speech recognition (ASR) system can be realized. In this paper, we describe the(More)