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02/13/2023
The Framework Tax: Disparities Between Inference Efficiency in Research and Deployment
Increased focus on the deployment of machine learning systems has led to...
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10/24/2022
OLLA: Decreasing the Memory Usage of Neural Networks by Optimizing the Lifetime and Location of Arrays
The size of deep neural networks has grown exponentially in recent years...
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03/14/2022
Reasoning over Public and Private Data in Retrieval-Based Systems
Users and organizations are generating ever-increasing amounts of privat...
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01/29/2022
Flashlight: Enabling Innovation in Tools for Machine Learning
As the computational requirements for machine learning systems and the s...
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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...
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10/22/2020
Rethinking Evaluation in ASR: Are Our Models Robust Enough?
Is pushing numbers on a single benchmark valuable in automatic speech re...
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10/22/2020
slimIPL: Language-Model-Free Iterative Pseudo-Labeling
Recent results in end-to-end ASR have demonstrated the efficacy of simpl...
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10/02/2020
Differentiable Weighted Finite-State Transducers
We introduce a framework for automatic differentiation with weighted fin...
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05/19/2020
Iterative Pseudo-Labeling for Speech Recognition
Pseudo-labeling has recently shown promise in end-to-end automatic speec...
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01/27/2020
Scaling Up Online Speech Recognition Using ConvNets
We design an online end-to-end speech recognition system based on Time-D...
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12/17/2019
Libri-Light: A Benchmark for ASR with Limited or No Supervision
We introduce a new collection of spoken English audio suitable for train...
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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 ...
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09/19/2019
Self-Training for End-to-End Speech Recognition
We revisit self-training in the context of end-to-end speech recognition...
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12/18/2018