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5 篇文献
 
Pitch-Synchronous Peak-Amplitude (PS-PA)-Based Feature Extraction Method for Noise-Robust ASR  
In this paper, we propose a novel pitch-synchronous auditory- based feature extraction method for robust automatic speech recognition (ASR). A pitch-synchronous zero-crossing peak- amplitude (PS-ZCPA)......
Ieice Transactions  2006
0次引用 0 0
Designing multiple distinctive phonetic feature extractors for canonicalization by using clustering technique  
Acoustic models of an HMM-based classifier include various types of hidden factors such as speaker-specific character- istics and acoustic environments. If there exist a canonicali- zation process tha......
Annual Conference of the International Speech Communication Association  2005
0次引用 0 0
A voice activity detection based on the adaptive integration of multiple speech features and a signal decision scheme  
This paper addresses the problem of voice activity detection (VAD) in noisy environments. The VAD method proposed in this paper integrates multiple speech features and a signal decision scheme, namely......
International Conference on Acoustics, Speech, and Signal Processing  2008
7次引用 0 0
PS-ZCPA Based Feature Extraction with Auditory Masking, Modulation Enhancement and Noise Reduction for Robust ASR  
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 ......
Ieice Transactions  2006
0次引用 0 0
Robust Speech Recognition Using PCA-Based Noise Classification  
This paper proposes a new environmental noise classification using principal component analysis (PCA) for robust speech recognition. Once the type of noise is identified, speech recognition performanc......
1次引用 0 0

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