Robust Speech Recognition Using KPCA-Based Noise Classification
نویسندگان
چکیده
منابع مشابه
Robust Speech Recognition Using KPCA-Based Noise Classification
This paper proposes an environmental noise classification method using kernel principal component analysis (KPCA) for robust speech recognition. Once the type of noise is identified, speech recognition performance can be enhanced by selecting the identified noise specific acoustic model. The proposed model applies KPCA to a set of noise features such as normalized logarithmic spectrums (NLS), a...
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ژورنال
عنوان ژورنال: ECTI Transactions on Computer and Information Technology (ECTI-CIT)
سال: 1970
ISSN: 2286-9131,2286-9131
DOI: 10.37936/ecti-cit.200621.51960