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05/25/2023
On the Tool Manipulation Capability of Open-source Large Language Models
Recent studies on software tool manipulation with large language models ...
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02/07/2022
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language
While the general idea of self-supervised learning is identical across m...
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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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11/17/2021
XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale
This paper presents XLS-R, a large-scale model for cross-lingual speech ...
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10/12/2021
Word Order Does Not Matter For Speech Recognition
In this paper, we study training of automatic speech recognition system ...
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09/23/2021
Simple and Effective Zero-shot Cross-lingual Phoneme Recognition
Recent progress in self-training, self-supervised pretraining and unsupe...
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06/14/2021
Kaizen: Continuously improving teacher using Exponential Moving Average for semi-supervised speech recognition
In this paper, we introduce the Kaizen framework that uses a continuousl...
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06/06/2021
CAPE: Encoding Relative Positions with Continuous Augmented Positional Embeddings
Without positional information, attention-based transformer neural netwo...
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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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12/07/2020
MLS: A Large-Scale Multilingual Dataset for Speech Research
This paper introduces Multilingual LibriSpeech (MLS) dataset, a large mu...
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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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10/22/2020
Self-training and Pre-training are Complementary for Speech Recognition
Self-training and unsupervised pre-training have emerged as effective ap...
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06/03/2020
Self-Training for End-to-End Speech Translation
One of the main challenges for end-to-end speech translation is data sca...
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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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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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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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12/17/2018
Fully Convolutional Speech Recognition
Current state-of-the-art speech recognition systems build on recurrent n...
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06/19/2018
An empirical study on evaluation metrics of generative adversarial networks
Evaluating generative adversarial networks (GANs) is inherently challeng...
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08/08/2017