A New Hierarchical Decision Structure Using Wavelet Packet and SVM for Brazilian Phonemes Recognition

In this work, a new concept of making theConsonantal Recognition is proposed. We used several units (phonemes, diphones and syllables) to make the word recognition. This concept was carried out by a new hierarchical decision structure, based on the Articulatory Phonetics and SVM (Support Vector Machine). The speech features used were MFCC (MelFrequency Cepstral Coefficient) and WPT (Wavelet Packet Transform). Eighteen consonantal phonemes have been used in the recognition. The database used for the recognition was a set of two-syllable words of the Brazilian Portuguese language. The experimental results showed success rates of 98.41% for the userdependent case.

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Feature Extraction Techniques in Speech Processing: A Survey

Hibare¹,

Vibhute²

2014

IJCA

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Speech processing includes the various techniques such as speech coding, speech synthesis, speech recognition and speaker recognition. In the area of digital signal processing, speech processing has versatile applications so it is still an intensive field of research. Speech processing mostly performs two fundamental operations such as Feature Extraction and Classification. The main criterion for the good speech processing system is the selection of feature extraction technique which plays an important role in the system accuracy. This paper intends to focus on the survey of various feature extraction techniques in speech processing such as Fast Fourier Transforms, Linear Predictive Coding, Mel Frequency Cepstral Coefficients, Discrete Wavelet Transforms, Wavelet Packet Transforms, Hybrid Algorithm DWPD and their applications in speech processing.

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A New Hierarchical Decision Structure Using Wavelet Packet and SVM for Brazilian Phonemes Recognition

Cited by 3 publications

References 8 publications

Consonantal Recognition Using SVM and a Hierarchical Decision Structure Based in the Articulatory Phonetics

Consonantal Recognition Using SVM and a Hierarchical Decision Structure Based in the Articulatory Phonetics

Consonantal Recognition Using SVM and New Hierarchical Decision Structure Based in the Articulatory Phonetics

Feature Extraction Techniques in Speech Processing: A Survey

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