Experiments on an isolated-word recognition system for multiple speakers

The paper describes isolated-word recognition experiments on a multi-speaker speech recognition system. The system is organized in two main stages. At the phonemic recognition stage the phonemic transcription of the speech waveform is produced by simultaneous segmentation and labeling accomplished by the Learning Subspace Method. It directly produces an approximately correct number of phonemes. At the word recognition stage Redundant Hash Addressing is used for fast comparison of the phonemic transcriptions with referent strings stored in a dictionary. The average word recognition accuracy in a 200-word experiment with five speakers was about 95 per cent.