3 papers
eess.AS2022
Contextual-Utterance Training for Automatic Speech Recognition
Alejandro Gomez-Alanis, Lukas Drude, Andreas Schwarz +2
Recent studies of streaming automatic speech recognition (ASR) recurrent neural network transducer (RNN-T)-based systems have fed the encoder with past contextual information in or…
eess.AS2020
Improving RNN-T ASR Accuracy Using Context Audio
Andreas Schwarz, Ilya Sklyar, Simon Wiesler
We present a training scheme for streaming automatic speech recognition (ASR) based on recurrent neural network transducers (RNN-T) which allows the encoder network to learn to exp…
eess.AS2020
Subword Regularization: An Analysis of Scalability and Generalization for End-to-End Automatic Speech Recognition
Egor Lakomkin, Jahn Heymann, Ilya Sklyar +1
Subwords are the most widely used output units in end-to-end speech recognition. They combine the best of two worlds by modeling the majority of frequent words directly and at the…