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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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01/28/2022
Star Temporal Classification: Sequence Classification with Partially Labeled Data
We develop an algorithm which can learn from partially labeled and unseg...
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10/06/2021
Parallel Composition of Weighted Finite-State Transducers
Finite-state transducers (FSTs) are frequently used in speech recognitio...
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09/02/2021
CrypTen: Secure Multi-Party Computation Meets Machine Learning
Secure multi-party computation (MPC) allows parties to perform computati...
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07/30/2021
The History of Speech Recognition to the Year 2030
The decade from 2010 to 2020 saw remarkable improvements in automatic sp...
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06/21/2021
The Role of Evolution in Machine Intelligence
Machine intelligence can develop either directly from experience or by i...
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04/20/2021
Gradient Matching for Domain Generalization
Machine learning systems typically assume that the distributions of trai...
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03/22/2021
Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems
Machine-learning systems such as self-driving cars or virtual assistants...
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02/23/2021
Measuring Data Leakage in Machine-Learning Models with Fisher Information
Machine-learning models contain information about the data they were tra...
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12/11/2020
Data Appraisal Without Data Sharing
One of the most effective approaches to improving the performance of a m...
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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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07/09/2020
The Trade-Offs of Private Prediction
Machine learning models leak information about their training data every...
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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...
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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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02/24/2020
Semi-Supervised Speech Recognition via Local Prior Matching
For sequence transduction tasks like speech recognition, a strong struct...
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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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01/09/2020
Secure multiparty computations in floating-point arithmetic
Secure multiparty computations enable the distribution of so-called shar...
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11/08/2019
Certified Data Removal from Machine Learning Models
Good data stewardship requires removal of data at the request of the dat...
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10/16/2019
Lead2Gold: Towards exploiting the full potential of noisy transcriptions for speech recognition
The transcriptions used to train an Automatic Speech Recognition (ASR) s...
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10/11/2019
Privacy-Preserving Contextual Bandits
Contextual bandits are online learners that, given an input, select an a...
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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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06/10/2019
Word-level Speech Recognition with a Dynamic Lexicon
We propose a direct-to-word sequence model with a dynamic lexicon. Our w...
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04/04/2019
Sequence-to-Sequence Speech Recognition with Time-Depth Separable Convolutions
We propose a fully convolutional sequence-to-sequence encoder architectu...
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02/16/2019
A Fully Differentiable Beam Search Decoder
We introduce a new beam search decoder that is fully differentiable, mak...
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12/18/2018
wav2letter++: The Fastest Open-source Speech Recognition System
This paper introduces wav2letter++, the fastest open-source deep learnin...
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11/28/2016
An End-to-End Architecture for Keyword Spotting and Voice Activity Detection
We propose a single neural network architecture for two tasks: on-line k...
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03/31/2016
Learning Multiscale Features Directly From Waveforms
Deep learning has dramatically improved the performance of speech recogn...
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12/08/2015
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
We show that an end-to-end deep learning approach can be used to recogni...
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12/17/2014
