no code implementations • 29 Mar 2024 • Jinhyuk Lee, Zhuyun Dai, Xiaoqi Ren, Blair Chen, Daniel Cer, Jeremy R. Cole, Kai Hui, Michael Boratko, Rajvi Kapadia, Wen Ding, Yi Luan, Sai Meher Karthik Duddu, Gustavo Hernandez Abrego, Weiqiang Shi, Nithi Gupta, Aditya Kusupati, Prateek Jain, Siddhartha Reddy Jonnalagadda, Ming-Wei Chang, Iftekhar Naim
On the Massive Text Embedding Benchmark (MTEB), Gecko with 256 embedding dimensions outperforms all existing entries with 768 embedding size.
no code implementations • 27 Jun 2023 • Shuai Wang, Chengdong Liang, Xu Xiang, Bing Han, Zhengyang Chen, Hongji Wang, Wen Ding
This report showcases the results achieved using the wespeaker toolkit for the VoxSRC2023 Challenge.
no code implementations • 9 Nov 2022 • Yu Chen, Wen Ding, Junjie Lai
Noisy Student Training (NST) has recently demonstrated extremely strong performance in Automatic Speech Recognition(ASR).
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2