An algorithm for automatic detection of breath events in a speech signal is suggested in this
paper. The issues of breath events occurrences in recordings are discussed as well as their …

A non-uniform speech segmentation method based on wavelet packet transform is used for
the localisation of phoneme boundaries. Eleven subbands are chosen by applying the mean …

Ancient manuscripts are original handwriting that is at least 50 years old and has
significance for civilization, history, culture, and science. In the preservation of ancient …

Nowadays, wavelet has been widely applied in extracting features of the signal for automatic
speech recognition system. Wavelets have many families that are determined by their …

Abstract Wavelet feature, Wavelet Packet Cepstral Coefficient (WPCC), is widely used both
in speaker and speech recognition systems. WPCC is designed to replace the role of MFCC …

In the speech recognition system, feature extraction has an important role. There is several
feature extraction technique in speech recognition system, the two best among them are …

The paper presents an approach to automatic recognition of emotions in speech signal. The
applied method base on energy values in frequency subbands obtained from the discrete …

Wavelet akhir-akhir ini telah banyak diaplikasikan pada pemrosesan sinyal, salah satunya
adalah pada pengenalan suara otomatis. Hal ini karena wavelet mengungguli FFT, yaitu …

Belakangan ini filterbank berbasis wavelet sebagai ekstraktor ciri mulai banyak
dikembangkan untuk dapat menggantikan peran ciri Mel Frequency Cepstral Coefficient …