Exploring emergent syllables in end-to-end automatic speech recognizers through model explainability technique
Vincenzo Norman Vitale,
Francesco Cutugno,
Antonio Origlia
et al.
Abstract:Automatic speech recognition systems based on end-to-end models (E2E-ASRs) can achieve comparable performance to conventional ASR systems while reproducing all their essential parts automatically, from speech units to the language model. However, they hide the underlying perceptual processes modelled, if any, and they have lower adaptability to multiple application contexts, and, furthermore, they require powerful hardware and an extensive amount of training data. Model-explainability techniques can explore th… Show more
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