354 citations · 364 across the 5 of their papers we have counts for
10 papers
Star Temporal Classification: Sequence Classification with Partially Labeled Data
Vineel Pratap, Awni Hannun, Gabriel Synnaeve +1
We develop an algorithm which can learn from partially labeled and unsegmented sequential data. Most sequential loss functions, such as Connectionist Temporal Classification (CTC),…
Word Order Does Not Matter For Speech Recognition
Vineel Pratap, Qiantong Xu, Tatiana Likhomanenko +2
In this paper, we study training of automatic speech recognition system in a weakly supervised setting where the order of words in transcript labels of the audio training data is n…
Parallel Composition of Weighted Finite-State Transducers
Shubho Sengupta, Vineel Pratap, Awni Hannun
Finite-state transducers (FSTs) are frequently used in speech recognition. Transducer composition is an essential operation for combining different sources of information at differ…
Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training
Wei-Ning Hsu, Anuroop Sriram, Alexei Baevski +8
Self-supervised learning of speech representations has been a very active research area but most work is focused on a single domain such as read audio books for which there exist l…
MLS: A Large-Scale Multilingual Dataset for Speech Research
Vineel Pratap, Qiantong Xu, Anuroop Sriram +2
This paper introduces Multilingual LibriSpeech (MLS) dataset, a large multilingual corpus suitable for speech research. The dataset is derived from read audiobooks from LibriVox an…
Differentiable Weighted Finite-State Transducers
Awni Hannun, Vineel Pratap, Jacob Kahn +1
We introduce a framework for automatic differentiation with weighted finite-state transducers (WFSTs) allowing them to be used dynamically at training time. Through the separation…