30 citations · 61 across the 7 of their papers we have counts for
7 papers
Non-uniform Speaker Disentanglement For Depression Detection From Raw Speech Signals
Jinhan Wang, Vijay Ravi, Abeer Alwan
While speech-based depression detection methods that use speaker-identity features, such as speaker embeddings, are popular, they often compromise patient privacy. To address this…
Towards Better Domain Adaptation for Self-supervised Models: A Case Study of Child ASR
Ruchao Fan, Yunzheng Zhu, Jinhan Wang +1
Recently, self-supervised learning (SSL) from unlabelled speech data has gained increased attention in the automatic speech recognition (ASR) community. Typical SSL methods include…
A Step Towards Preserving Speakers' Identity While Detecting Depression Via Speaker Disentanglement
Vijay Ravi, Jinhan Wang, Jonathan Flint +1
Preserving a patient's identity is a challenge for automatic, speech-based diagnosis of mental health disorders. In this paper, we address this issue by proposing adversarial disen…
Unsupervised Instance Discriminative Learning for Depression Detection from Speech Signals
Jinhan Wang, Vijay Ravi, Jonathan Flint +1
Major Depressive Disorder (MDD) is a severe illness that affects millions of people, and it is critical to diagnose this disorder as early as possible. Detecting depression from vo…
VADOI:Voice-Activity-Detection Overlapping Inference For End-to-end Long-form Speech Recognition
Jinhan Wang, Xiaosu Tong, Jinxi Guo +2
While end-to-end models have shown great success on the Automatic Speech Recognition task, performance degrades severely when target sentences are long-form. The previous proposed…
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…
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…