Recognition of tone is essential for speech recognition and language understanding. A monosyllabic Thai tone recognition system, which is based on the Ant-Miner algorithm. The system is composed of three main process, fundamental frequency (F0) extraction from input speech signal, analysis of F0 contour for feature extraction, In the F0 feature extraction, the polynomial regression functions ar...

Stuttering also known as stammering is fluency disorder in which it affects the flow of speech, an involuntary repetitions, prolongation of sounds, syllables, phrase or words, and involuntary silent pause or blocks in communication. This involuntary speech disorder involves frequent and significant problems with the normal fluency and flow of speech. The number of disfluencies present in a spee...

Speech analysis applications are typically based on short-term spectral analysis of the speech signal. Feature extraction process outputs one feature vector per frame. The features are further processed by application-dependent techniques, such as hidden Markov models or vector quantization. Independent from the application, it is often desirable that the feature vectors form separable clusters...

Speech analysis applications are typically based on short-term spectral analysis of the speech signal. Feature extraction process outputs one feature vector per frame. The features are further processed by application-dependent techniques, such as hidden Markov models or vector quantization. Independent from the application, it is often desirable that the feature vectors form separable clusters...

Cognitive assessment in clinic represents time consuming and expensive task. Speech may be employed as a means of monitoring cognitive function in elderly people. Extraction of speech characteristics from speech recorded remotely over a telephone was investigated and compared to speech characteristics extracted from recordings made in controlled environment. Results demonstrate that speech char...

Speech is one of the ways to express ourselves naturally. So, speech can be used as a means to communicate with machines. In this work, using MATLAB as a platform isolated word recognizer is achieved. Speech signals get distorted by many kinds of noises. Hence, it is necessary to reduce the noise contained in the speech signal. This is called speech enhancement. Speech enhancement aims at impro...

The process of converting an acoustic waveform into the text resembling the information, conveyed by the speaker is termed as speech recognition. Nowadays, normally Hidden Markov Model (HMM) based speech recognizer with Mel Frequency Cepstral Coefficient (MFCC) feature extraction is used. The proposed speech feature vector is generated by projecting an observed vector onto an Integrated Phoneme...

Selecting good feature is especially important to achieve high speech recognition accuracy. Although the mel-cepstrum is a popular and effective feature for speech recognition, it is still unclear that the filter-bank in the mel-cepstrum is always optimal regardless of speech recognition environments or the characteristics of specific speech data. In this paper, we focus on the data-driven filt...