1 citations · 2 across the 9 of their papers we have counts for
9 papers
Pre-training End-to-end ASR Models with Augmented Speech Samples Queried by Text
Eric Sun, Jinyu Li, Jian Xue +1
In end-to-end automatic speech recognition system, one of the difficulties for language expansion is the limited paired speech and text training data. In this paper, we propose a n…
Token-Level Serialized Output Training for Joint Streaming ASR and ST Leveraging Textual Alignments
Sara Papi, Peidong Wang, Junkun Chen +3
In real-world applications, users often require both translations and transcriptions of speech to enhance their comprehension, particularly in streaming scenarios where incremental…
Building High-accuracy Multilingual ASR with Gated Language Experts and Curriculum Training
Eric Sun, Jinyu Li, Yuxuan Hu +8
We propose gated language experts and curriculum training to enhance multilingual transformer transducer models without requiring language identification (LID) input from users dur…
Fast and accurate factorized neural transducer for text adaption of end-to-end speech recognition models
Rui Zhao, Jian Xue, Partha Parthasarathy +2
Neural transducer is now the most popular end-to-end model for speech recognition, due to its naturally streaming ability. However, it is challenging to adapt it with text-only dat…
Streaming, fast and accurate on-device Inverse Text Normalization for Automatic Speech Recognition
Yashesh Gaur, Nick Kibre, Jian Xue +5
Automatic Speech Recognition (ASR) systems typically yield output in lexical form. However, humans prefer a written form output. To bridge this gap, ASR systems usually employ Inve…
LAMASSU: Streaming Language-Agnostic Multilingual Speech Recognition and Translation Using Neural Transducers
Peidong Wang, Eric Sun, Jian Xue +5
Automatic speech recognition (ASR) and speech translation (ST) can both use neural transducers as the model structure. It is thus possible to use a single transducer model to perfo…
A Weakly-Supervised Streaming Multilingual Speech Model with Truly Zero-Shot Capability
Jian Xue, Peidong Wang, Jinyu Li +1
In this paper, we introduce our work of building a Streaming Multilingual Speech Model (SM2), which can transcribe or translate multiple spoken languages into texts of the target l…
Large-Scale Streaming End-to-End Speech Translation with Neural Transducers
Jian Xue, Peidong Wang, Jinyu Li +2
Neural transducers have been widely used in automatic speech recognition (ASR). In this paper, we introduce it to streaming end-to-end speech translation (ST), which aims to conver…
On Addressing Practical Challenges for RNN-Transducer
Rui Zhao, Jian Xue, Jinyu Li +3
In this paper, several works are proposed to address practical challenges for deploying RNN Transducer (RNN-T) based speech recognition system. These challenges are adapting a well…