In this study, we will interest in phonemes classification of Timit database using Fuzzy Logic. The fuzzy method consists in the extraction of a three fuzzy-reference vectors: maximal, mean and minimal. To classify a phoneme request, we calculate its degree of membership to all defined classes. The class of a phoneme request is, then, the one which maximizes one degree of membership calculated ...

The speech signal contains information that characterises the speaker and the phonetic content, together with the emotion being expressed. This paper looks at the effect of this speakerand phoneme-specific information on speech-based automatic emotion classification. The performances of a classification system using established acoustic and prosodic features for different phonemes are compared,...

This paper presents a neuro-fuzzy system to speech classification. We propose a multi-resolution feature extraction technique to deal with adaptive frame size. We utilize fuzzy adaptive resonance theory (FART) to cluster each frame. FART was an extension to ART, performs clustering of its inputs via unsupervised learning. ART describes a family of self-organizing neural networks, capable of clu...

Research in connected speech recognition has shown that an incredible amount of computation is required to identify spoken words. This is because the contemporary approach begins by isolating and classifying phonemes by means of context-free features of the sound stream. Thus the stream must be reduced to acoustic atoms before classification can be accomplished. On the other hand, for people th...

Multi-task learning (MTL) can be an effective way to improve the generalization performance of singly learning tasks if the tasks are related, especially when the amount of training data is small. Our previous work applied MTL to the joint training of triphone and trigrapheme acoustic models using deep neural networks (DNNs) for low-resource speech recognition. Significant recognition improveme...

Vocal effort changes induce various modifications to acoustic characteristics of speech. In this paper we investigate the impact of raised vocal effort on the speech spectrum. In particular, we look at different spectral parameters and compare the changes. The parameters we take into account are spectral tilt, spectral center of gravity, energy ratio and spectral moments. We carry out tests on ...

We present a method for building an initial phoneme model for training an HMM in a new language using an already trained recognition system in a base language. HMM based phoneme recognition systems are used to model the phonemes in most large vocabulary speech recognition tasks. Mappings between the phonetic spaces of the two languages are generated and are used to populate the phonetic space o...

For many years, speech has been the most natural and efficient means of information exchange for human beings. With the advancement of technology and the prevalence of computer usage, the design and production of speech recognition systems have been considered by researchers. Among this, lip-reading techniques encountered with many challenges for speech recognition, that one of the challenges b...

Speech perception flexibly adapts to short-term regularities of the ambient speech input. Recent research demonstrates that the function of an acoustic dimension for speech categorization at a given time is relative to its relationship to the evolving distribution of dimensional regularity across time, and not simply to its fixed value along the dimension. Two studies examine the nature of this...