research
∙
05/22/2023
Scaling Speech Technology to 1,000+ Languages
Expanding the language coverage of speech technology has the potential t...
share
research
∙
01/29/2022
Flashlight: Enabling Innovation in Tools for Machine Learning
As the computational requirements for machine learning systems and the s...
research
∙
01/28/2022
Star Temporal Classification: Sequence Classification with Partially Labeled Data
We develop an algorithm which can learn from partially labeled and unseg...
research
∙
10/12/2021
Word Order Does Not Matter For Speech Recognition
In this paper, we study training of automatic speech recognition system ...
research
∙
10/06/2021
Parallel Composition of Weighted Finite-State Transducers
Finite-state transducers (FSTs) are frequently used in speech recognitio...
research
∙
04/02/2021
Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training
Self-supervised learning of speech representations has been a very activ...
research
∙
12/07/2020
MLS: A Large-Scale Multilingual Dataset for Speech Research
This paper introduces Multilingual LibriSpeech (MLS) dataset, a large mu...
research
∙
10/22/2020
Rethinking Evaluation in ASR: Are Our Models Robust Enough?
Is pushing numbers on a single benchmark valuable in automatic speech re...
research
∙
10/02/2020
Differentiable Weighted Finite-State Transducers
We introduce a framework for automatic differentiation with weighted fin...
research
∙
07/06/2020
Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters
We study training a single acoustic model for multiple languages with th...
research
∙
01/27/2020
Scaling Up Online Speech Recognition Using ConvNets
We design an online end-to-end speech recognition system based on Time-D...
research
∙
11/19/2019
End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures
We study ResNet-, Time-Depth Separable ConvNets-, and Transformer-based ...
research
∙
12/18/2018