Comparing phoneme and feature based speech recognition using artificial neural networks

Kjell Elenius; Mats Blomberg

doi:10.21437/icslp.1992-344

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Comparing phoneme and feature based speech recognition using artificial neural networks

Kjell Elenius Mats Blomberg

Year: 1992 Pages: 1279-1282

DOI: 10.21437/icslp.1992-344

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Abstract

An artificial neural network has been trained by the error backpropagation technique to recognise phonemes and words. The speech material was recorded by a male Swedish talker and was labelled by a ...

Keywords:

Backpropagation Artificial neural network Computer science Speech recognition Time delay neural network Feature (linguistics) Artificial intelligence Pattern recognition (psychology)

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Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Speech Recognition and Synthesis

Physical Sciences → Computer Science → Artificial Intelligence

Music and Audio Processing

Physical Sciences → Computer Science → Signal Processing

Comparing phoneme and feature based speech recognition using artificial neural networks

Abstract

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