Abstract: Some experiments with a neural-network model based on the self-organizing feature map algorithm are described. The main problem in phonemic ...

The main problem in phonemic recognition is the overlaping of feature vectors due to variablity of speech and due to co- articulation effect. This property of ...

Investigation of phonemic context in speech using self-organizing feature maps · V. Kepuska, J. Gowdy · Published in IEEE International Conference… 23 May 1989 ...

A new approach to construct phonemic transcriptions of spoken utterances is described. The Self-Organizing Feature Maps by Kohonen are first applied to ...

A new approach to construct phonemic transcriptions of spoken utterances is described. The Self-Organizing Feature Maps by Kohonen are first applied to vector- ...

Abstract— The difference between self-organizing maps based phoneme classifiers that emerge for different input languages is studied.

Oct 22, 2024 · Speech perception and recognition using biologically inspired models is a challenging issue not well explored yet. The paper presents two ...

We report work on the first component of a two stage speech recognition architecture based on phonological features rather than phones.

Speech recognition based on phonemic units produces phoneme strings as output. These are usually not identical with the pronunciation models found in a ...

This study investigates whether deep neural networks (DNNs), the current state-of-the-art in distributional feature learning, are capable of learning phoneme- ...