116 citations · 226 across the 16 of their papers we have counts for
3 papers · 1 filter
Self-training and Pre-training are Complementary for Speech Recognition
Qiantong Xu, Alexei Baevski, Tatiana Likhomanenko +5
Self-training and unsupervised pre-training have emerged as effective approaches to improve speech recognition systems using unlabeled data. However, it is not clear whether they l…
Rethinking Evaluation in ASR: Are Our Models Robust Enough?
Tatiana Likhomanenko, Qiantong Xu, Vineel Pratap +5
Is pushing numbers on a single benchmark valuable in automatic speech recognition? Research results in acoustic modeling are typically evaluated based on performance on a single da…
Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters
Vineel Pratap, Anuroop Sriram, Paden Tomasello +4
We study training a single acoustic model for multiple languages with the aim of improving automatic speech recognition (ASR) performance on low-resource languages, and over-all si…