This paper presents a method for extraction of speech robust features when the external noise is additive and has white noise characteristics.
This paper presents robust feature extraction techniques for isolated word recognition under noisy conditions. The proposed hybrid feature extraction ...
This paper presents a method for extraction of speech robust features when the external noise is additive and has white noise characteristics.
This hybrid system can conserve more extracted speech features which tend to be invariant to noise. The main idea is to extract MFCC features by denoising the ...
This paper presents robust feature extraction techniques for isolated word recognition under noisy conditions and shows that WMFCC performed well compared ...
Speech feature extraction has been a key focus in robust speech recognition research. Selecting proper features is the key of effective system performance.
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It is the most used method to increase the robustness of the speech recognition systems in a noisy environment. The research presented in [9], states that the.
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Jul 26, 2022 · This study proposes a novel robust speech feature extraction technique to improve speech recognition performance in noisy environments.
Jan 30, 2016 · Abstract: The paper presents a feature extraction method, named as. Normalized Gammachirp Cepstral Coefficients (NGCC) that incorporates.
In this paper, a new robust feature extraction method for real-time ASR system is presented. ... extracted speech features which tend to be invariant to noise.