FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

25 May 2022

Papers citing "FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech"

3 / 53 papers shown

Title
A Compact End-to-End Model with Local and Global Context for Spoken Language Identification Fei Jia Nithin Rao Koluguri Jagadeesh Balam Boris Ginsburg 33 3 0 27 Oct 2022
Maestro-U: Leveraging joint speech-text representation learning for zero supervised speech ASR Zhehuai Chen Ankur Bapna Andrew Rosenberg Yu Zhang Bhuvana Ramabhadran Pedro J. Moreno Nanxin Chen 38 17 0 18 Oct 2022
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition Yihong Dong Ying Peng Muqiao Yang Songtao Lu Qingjiang Shi 40 9 0 05 Jun 2021