4 papers
LLMs Infer Cultural Context but Fail to Apply It When Responding
Yisong Miao, Jian Zhu, Vered Shwartz
Recent work has shown that LLMs overrepresent dominant cultures, particularly Western ones, while marginalizing others. We investigate whether this affects models' ability to gener…
ZIPA: A family of efficient models for multilingual phone recognition
Jian Zhu, Farhan Samir, Eleanor Chodroff +1
We present ZIPA, a family of efficient speech models that advances the state-of-the-art performance of crosslinguistic phone recognition. We first curated IPAPack++, a large-scale…
Efficiently Identifying Low-Quality Language Subsets in Multilingual Datasets: A Case Study on a Large-Scale Multilingual Audio Dataset
Farhan Samir, Emily P. Ahn, Shreya Prakash +3
Curating datasets that span multiple languages is challenging. To make the collection more scalable, researchers often incorporate one or more imperfect classifiers in the process,…
The taste of IPA: Towards open-vocabulary keyword spotting and forced alignment in any language
Jian Zhu, Changbing Yang, Farhan Samir +1
In this project, we demonstrate that phoneme-based models for speech processing can achieve strong crosslinguistic generalizability to unseen languages. We curated the IPAPACK, a m…