activity
20212023
most citedopenFEAT: Improving Speaker Identification by Open-set Few-shot Embedding Adaptation with Transformer

11 citations · 13 across the 3 of their papers we have counts for

collaborators

5 papers

eess.AS2023★ 1 cited

Cross-utterance ASR Rescoring with Graph-based Label Propagation

Srinath Tankasala, Long Chen, Andreas Stolcke +6

We propose a novel approach for ASR N-best hypothesis rescoring with graph-based label propagation by leveraging cross-utterance acoustic similarity. In contrast to conventional ne…

eess.AS2022★ 1 cited

Graph-based Multi-View Fusion and Local Adaptation: Mitigating Within-Household Confusability for Speaker Identification

Long Chen, Yixiong Meng, Venkatesh Ravichandran +1

Speaker identification (SID) in the household scenario (e.g., for smart speakers) is an important but challenging problem due to limited number of labeled (enrollment) utterances,…

eess.AS2022★ 11 cited

openFEAT: Improving Speaker Identification by Open-set Few-shot Embedding Adaptation with Transformer

Kishan K C, Zhenning Tan, Long Chen +4

Household speaker identification with few enrollment utterances is an important yet challenging problem, especially when household members share similar voice characteristics and r…

cs.SD2021

Graph-based Label Propagation for Semi-Supervised Speaker Identification

Long Chen, Venkatesh Ravichandran, Andreas Stolcke

Speaker identification in the household scenario (e.g., for smart speakers) is typically based on only a few enrollment utterances but a much larger set of unlabeled data, suggesti…

cs.SI2021

Textual Analysis of Communications in COVID-19 Infected Community on Social Media

Yuhan Liu, Yuhan Gao, Zhifan Nan +1

During the COVID-19 pandemic, people started to discuss about pandemic-related topics on social media. On subreddit \textit{r/COVID19positive}, a number of topics are discussed or…