Leveraging Large Language Models in Conversational Recommender Systems

no code implementations • 13 May 2023 • Luke Friedman, Sameer Ahuja, David Allen, Zhenning Tan, Hakim Sidahmed, Changbo Long, Jun Xie, Gabriel Schubiner, Ajay Patel, Harsh Lara, Brian Chu, Zexi Chen, Manoj Tiwari

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.

Common Sense Reasoning Dialogue Management +3

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

no code implementations • 24 Feb 2022 • Kishan K C, Zhenning Tan, Long Chen, Minho Jin, Eunjung Han, Andreas Stolcke, Chul Lee

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

Open Set Learning Speaker Identification

Improving Speaker Identification for Shared Devices by Adapting Embeddings to Speaker Subsets

no code implementations • 6 Sep 2021 • Zhenning Tan, Yuguang Yang, Eunjung Han, Andreas Stolcke

Second, a scoring function is applied between a runtime utterance and each speaker profile.

Speaker Identification