19 citations · 24 across the 7 of their papers we have counts for
4 papers · 1 filter
Neural Transducer Training: Reduced Memory Consumption with Sample-wise Computation
Stefan Braun, Erik McDermott, Roger Hsiao
The neural transducer is an end-to-end model for automatic speech recognition (ASR). While the model is well-suited for streaming ASR, the training process remains challenging. Dur…
Variable Attention Masking for Configurable Transformer Transducer Speech Recognition
Pawel Swietojanski, Stefan Braun, Dogan Can +9
This work studies the use of attention masking in transformer transducer based speech recognition for building a single configurable model for different deployment scenarios. We pr…
Optimizing Bilingual Neural Transducer with Synthetic Code-switching Text Generation
Thien Nguyen, Nathalie Tran, Liuhui Deng +16
Code-switching describes the practice of using more than one language in the same sentence. In this study, we investigate how to optimize a neural transducer based bilingual automa…
Bilingual End-to-End ASR with Byte-Level Subwords
Liuhui Deng, Roger Hsiao, Arnab Ghoshal
In this paper, we investigate how the output representation of an end-to-end neural network affects multilingual automatic speech recognition (ASR). We study different representati…