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04/21/2023
Automated Medical Coding on MIMIC-III and MIMIC-IV: A Critical Review and Replicability Study
Medical coding is the task of assigning medical codes to clinical free-t...
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05/21/2022
Self-Supervised Speech Representation Learning: A Review
Although supervised deep learning has revolutionized speech and audio pr...
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03/02/2022
Model-agnostic out-of-distribution detection using combined statistical tests
We present simple methods for out-of-distribution detection using a trai...
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03/01/2022
A Brief Overview of Unsupervised Neural Speech Representation Learning
Unsupervised representation learning for speech processing has matured g...
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02/22/2022
Benchmarking Generative Latent Variable Models for Speech
Stochastic latent variable models (LVMs) achieve state-of-the-art perfor...
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11/29/2021
Do We Still Need Automatic Speech Recognition for Spoken Language Understanding?
Spoken language understanding (SLU) tasks are usually solved by first tr...
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02/17/2021
Do End-to-End Speech Recognition Models Care About Context?
The two most common paradigms for end-to-end speech recognition are conn...
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02/16/2021
Hierarchical VAEs Know What They Don't Know
Deep generative models have shown themselves to be state-of-the-art dens...
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02/01/2021
On Scaling Contrastive Representations for Low-Resource Speech Recognition
Recent advances in self-supervised learning through contrastive training...
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05/02/2020
MultiQT: Multimodal Learning for Real-Time Question Tracking in Speech
We address a challenging and practical task of labeling questions in spe...
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02/06/2019
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling
With the introduction of the variational autoencoder (VAE), probabilisti...
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11/28/2018
On the Inductive Bias of Word-Character-Level Multi-Task Learning for Speech Recognition
End-to-end automatic speech recognition (ASR) commonly transcribes audio...
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12/01/2017
Utilizing Domain Knowledge in End-to-End Audio Processing
End-to-end neural network based approaches to audio modelling are genera...
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11/28/2017
Exploiting Nontrivial Connectivity for Automatic Speech Recognition
Nontrivial connectivity has allowed the training of very deep networks b...
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04/03/2017
Semi-Supervised Generation with Cluster-aware Generative Models
Deep generative models trained with large amounts of unlabelled data hav...
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02/17/2016
Auxiliary Deep Generative Models
Deep generative models parameterized by neural networks have recently ac...
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02/06/2016
Ladder Variational Autoencoders
Variational Autoencoders are powerful models for unsupervised learning. ...
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01/18/2015
