Model-based articulatory phonetic features for improved speech recognition
We describe a neural based articulatory phonetic inversion model to improve the recognition of the acoustically varying vowels and the syllable initial plosives. The model uses a set of continuous valued articulatory phonetic features (APFs) to explore the interactions between the motor control of a...
Main Authors: | , |
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Other Authors: | |
Format: | Conference Paper |
Language: | English |
Published: |
2013
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/97868 http://hdl.handle.net/10220/12393 |