3 citations · 13 across the 12 of their papers we have counts for
11 papers · 1 filter
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…
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…
FrAUG: A Frame Rate Based Data Augmentation Method for Depression Detection from Speech Signals
Vijay Ravi, Jinhan Wang, Jonathan Flint +1
In this paper, a data augmentation method is proposed for depression detection from speech signals. Samples for data augmentation were created by changing the frame-width and the f…
An Improved Single Step Non-autoregressive Transformer for Automatic Speech Recognition
Ruchao Fan, Wei Chu, Peng Chang +2
Non-autoregressive mechanisms can significantly decrease inference time for speech transformers, especially when the single step variant is applied. Previous work on CTC alignment-…
Low Resource German ASR with Untranscribed Data Spoken by Non-native Children -- INTERSPEECH 2021 Shared Task SPAPL System
Jinhan Wang, Yunzheng Zhu, Ruchao Fan +2
This paper describes the SPAPL system for the INTERSPEECH 2021 Challenge: Shared Task on Automatic Speech Recognition for Non-Native Children's Speech in German. ~ 5 hours of trans…
Fundamental Frequency Feature Normalization and Data Augmentation for Child Speech Recognition
Gary Yeung, Ruchao Fan, Abeer Alwan
Automatic speech recognition (ASR) systems for young children are needed due to the importance of age-appropriate educational technology. Because of the lack of publicly available…