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Found 3 papers, 2 papers with code
Equivalence of Segmental and Neural Transducer Modeling: A Proof of Concept
With the advent of direct models in automatic speech recognition (ASR), the formerly prevalent frame-wise acoustic modeling based on hidden Markov models (HMM) diversified into a number of modeling architectures like encoder-decoder attention models, transducer models and segmental models (direct HMM).
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Librispeech Transducer Model with Internal Language Model Prior Correction
We present our transducer model on Librispeech.
Ranked #25 on
Speech Recognition
on LibriSpeech test-clean
(using extra training data)
A New Training Pipeline for an Improved Neural Transducer
We compare the original training criterion with the full marginalization over all alignments, to the commonly used maximum approximation, which simplifies, improves and speeds up our training.
