22 citations · 38 across the 3 of their papers we have counts for
3 papers
cs.IR2023★ 22 cited
Leveraging Large Language Models in Conversational Recommender Systems
Luke Friedman, Sameer Ahuja, David Allen +10
A Conversational Recommender System (CRS) offers increased transparency and control to users by enabling them to engage with the system through a real-time multi-turn dialogue. Rec…
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…
eess.AS2021★ 5 cited
Improving Speaker Identification for Shared Devices by Adapting Embeddings to Speaker Subsets
Zhenning Tan, Yuguang Yang, Eunjung Han +1
Speaker identification typically involves three stages. First, a front-end speaker embedding model is trained to embed utterance and speaker profiles. Second, a scoring function is…