Genetic wavelet packets for speech recognition

Longjing tea quality classification by fusion of features collected from E-nose

“…Then, the new approximation coefficient vector is decomposed, and successive details are never reanalyzed. But, in wavelet packet decomposition, each detail coefficient vector is also decomposed into two parts as the approximation vector splitting [18,28,29].…”

Speech Recognition

“…The representation search is based on a non-orthogonal wavelet decomposition for phoneme classification. The results obtained for a set of Spanish phonemes show that the proposed genetic algorithm is able to find a representation that improves speech recognition results [15].…”

“…Since a wavelet-based representation should be searched for each particular problem, a genetic algorithm is employed in [15]. The representation search is based on a non-orthogonal wavelet decomposition for phoneme classification.…”

Review of Recent Advances in the Application of the Wavelet Transform to Diagnose Cracked Rotors

“…From this, new techniques allowed for the application of WT to a signal using recursive-filtering banks. Recently, WT has become the most widely applied tool in signal processing in many different fields such as voice recognition [27,28], noise reduction [29,30], electrocardiographs [31], and radio-frequency interference mitigation [32], amongst others.…”