Phonetic Classification and Recognition Using the Multi-Layer Perceptron

Leung, Hong C., Glass, James R., Phillips, Michael S., Zue, Victor W.

Neural Information Processing Systems 

In this paper, we will describe several extensions to our earlier work, utilizing asegment-based approach. We will formulate our segmental framework and report our study on the use of multi-layer perceptrons for detection and classification of phonemes. We will also examine the outputs of the network, and compare the network performance with other classifiers. Our investigation is performed within a set of experiments that attempts to recognize 38 vowels and consonants in American English independent of speaker.

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