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20182026
most citedA CTC Alignment-based Non-autoregressive Transformer for End-to-end Automatic Speech Recognition

32 citations · 102 across the 19 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

eess.AS2022★ 1 cited

Acoustic-aware Non-autoregressive Spell Correction with Mask Sample Decoding

Ruchao Fan, Guoli Ye, Yashesh Gaur +1

Masked language model (MLM) has been widely used for understanding tasks, e.g. BERT. Recently, MLM has also been used for generation tasks. The most popular one in speech is using…

eess.AS2022

CTCBERT: Advancing Hidden-unit BERT with CTC Objectives

Ruchao Fan, Yiming Wang, Yashesh Gaur +1

In this work, we present a simple but effective method, CTCBERT, for advancing hidden-unit BERT (HuBERT). HuBERT applies a frame-level cross-entropy (CE) loss, which is similar to…

eess.AS2022

DRAFT: A Novel Framework to Reduce Domain Shifting in Self-supervised Learning and Its Application to Children's ASR

Ruchao Fan, Abeer Alwan

Self-supervised learning (SSL) in the pretraining stage using un-annotated speech data has been successful in low-resource automatic speech recognition (ASR) tasks. However, models…

eess.AS2022

Towards Better Meta-Initialization with Task Augmentation for Kindergarten-aged Speech Recognition

Yunzheng Zhu, Ruchao Fan, Abeer Alwan

Children's automatic speech recognition (ASR) is always difficult due to, in part, the data scarcity problem, especially for kindergarten-aged kids. When data are scarce, the model…

eess.AS2022★ 3 cited

LPC Augment: An LPC-Based ASR Data Augmentation Algorithm for Low and Zero-Resource Children's Dialects

Alexander Johnson, Ruchao Fan, Robin Morris +1

This paper proposes a novel linear prediction coding-based data aug-mentation method for children's low and zero resource dialect ASR. The data augmentation procedure consists of p…