Scaling ASR Improves Zero and Few Shot Learning

Scaling ASR Improves Zero and Few Shot Learning

10 November 2021

Christian Fuegen

Ozlem Kalinli

Abdel-rahman Mohamed

Papers citing "Scaling ASR Improves Zero and Few Shot Learning"

8 / 8 papers shown

Title
Latent Phrase Matching for Dysarthric Speech Colin S. Lea Dianna Yee Jaya Narain Zifang Huang Lauren Tooley Jeffrey P. Bigham Leah Findlater 27 4 0 08 Jun 2023
A Token-Wise Beam Search Algorithm for RNN-T Gil Keren 26 1 0 28 Feb 2023
Massively Multilingual ASR on 70 Languages: Tokenization, Architecture, and Generalization Capabilities Andros Tjandra Nayan Singhal David C. Zhang Ozlem Kalinli Abdel-rahman Mohamed Duc Le M. Seltzer 32 12 0 10 Nov 2022
A Weakly-Supervised Streaming Multilingual Speech Model with Truly Zero-Shot Capability Jian Xue Peidong Wang Jinyu Li Eric Sun 32 10 0 04 Nov 2022
Self-Supervised Speech Representation Learning: A Review Abdel-rahman Mohamed Hung-yi Lee Lasse Borgholt Jakob Drachmann Havtorn Joakim Edin ... Shang-Wen Li Karen Livescu Lars Maaløe Tara N. Sainath Shinji Watanabe SSL AI4TS 131 349 0 21 May 2022
Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition Yu Zhang James Qin Daniel S. Park Wei Han Chung-Cheng Chiu Ruoming Pang Quoc V. Le Yonghui Wu VLM SSL 146 308 0 20 Oct 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 258 4,489 0 23 Jan 2020
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism M. Shoeybi M. Patwary Raul Puri P. LeGresley Jared Casper Bryan Catanzaro MoE 245 1,821 0 17 Sep 2019