all AI news
ZAEBUC-Spoken: A Multilingual Multidialectal Arabic-English Speech Corpus
March 28, 2024, 4:48 a.m. | Injy Hamed, Fadhl Eryani, David Palfreyman, Nizar Habash
cs.CL updates on arXiv.org arxiv.org
Abstract: We present ZAEBUC-Spoken, a multilingual multidialectal Arabic-English speech corpus. The corpus comprises twelve hours of Zoom meetings involving multiple speakers role-playing a work situation where Students brainstorm ideas for a certain topic and then discuss it with an Interlocutor. The meetings cover different topics and are divided into phases with different language setups. The corpus presents a challenging set for automatic speech recognition (ASR), including two languages (Arabic and English) with Arabic spoken in multiple …
abstract arabic arxiv cs.cl discuss english ideas meetings multilingual multiple playing role speakers speech spoken students topics type work zoom
More from arxiv.org / cs.CL updates on arXiv.org
Benchmarking LLMs via Uncertainty Quantification
1 day, 11 hours ago |
arxiv.org
CARE: Extracting Experimental Findings From Clinical Literature
1 day, 11 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Global Data Architect, AVP - State Street Global Advisors
@ State Street | Boston, Massachusetts
Data Engineer
@ NTT DATA | Pune, MH, IN