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20182026
most citedContext-Dependent Acoustic Modeling without Explicit Phone Clustering

9 citations · 21 across the 17 of their papers we have counts for

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Showing 2020Show all

2 papers · 1 filter

cs.CL2020

Improved Robustness to Disfluencies in RNN-Transducer Based Speech Recognition

Valentin Mendelev, Tina Raissi, Guglielmo Camporese +1

Automatic Speech Recognition (ASR) based on Recurrent Neural Network Transducers (RNN-T) is gaining interest in the speech community. We investigate data selection and preparation…

eess.AS2020★ 9 cited

Context-Dependent Acoustic Modeling without Explicit Phone Clustering

Tina Raissi, Eugen Beck, Ralf Schlüter +1

Phoneme-based acoustic modeling of large vocabulary automatic speech recognition takes advantage of phoneme context. The large number of context-dependent (CD) phonemes and their h…