This paper presents the use of hardware self-organising map neural networks for phoneme recognition. The neural network has been implemented on-chip using ...
This paper presents the use of hardware self-organising map neural networks for phoneme recognition. The neural network has been implemented on-chip using ...
This paper presents the use of hardware self-organising map neural networks for phoneme recognition. The neural network has been implemented on-chip using ...
This paper presents methods to improve the probability density es- timation in hidden Markov models for phoneme recognition by ex- ... sured in Silicon Graphics ...
We have implemented a practical "phonetic typewriter" for unlimited speech input using the Self-Organizing Map to spot and recognize phonemes in continuous ...
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data shows how the self-organising map ts the speech space. 1 Introduction. Speech recognition can be performed in two di erent ways: connected speech and.
A total of 80,017 e-nose vectors have been elaborated applying the self-organizing map (SOM) algorithm and then k-means clustering on SOM outputs on the whole ...
Kohonen's Self-Organizing Map (SOM) is one of the most popular artificial neural network algorithms. Word category maps are SOMs that have been organized ...
A pioneer work on speech recognition using Self- organizing Maps was the neural phonetic typewriter [7] in which phonemes of the Finnish idiom were clustered.
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Learning robot actions based on self-organising language ... Seiffert U Growing multi-dimensional self-organizing maps for motion detection Self-Organizing neural ...