30 citations · 31 across the 3 of their papers we have counts for
3 papers
eess.AS2023★ 1 cited
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…
eess.AS2023★ 30 cited
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…
eess.AS2022
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…