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03/10/2023
Clinical BERTScore: An Improved Measure of Automatic Speech Recognition Performance in Clinical Settings
Automatic Speech Recognition (ASR) in medical contexts has the potential...
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11/17/2022
Knowledge distillation for fast and accurate DNA sequence correction
Accurate genome sequencing can improve our understanding of biology and ...
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11/02/2022
The Need for Medically Aware Video Compression in Gastroenterology
Compression is essential to storing and transmitting medical videos, but...
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03/01/2022
TRILLsson: Distilled Universal Paralinguistic Speech Representations
Recent advances in self-supervision have dramatically improved the quali...
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10/09/2021
Universal Paralinguistic Speech Representations Using Self-Supervised Conformers
Many speech applications require understanding aspects beyond the words ...
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09/27/2021
BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition
We summarize the results of a host of efforts using giant automatic spee...
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07/08/2021
Comparing Supervised Models And Learned Speech Representations For Classifying Intelligibility Of Disordered Speech On Selected Phrases
Automatic classification of disordered speech can provide an objective t...
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11/09/2020
FUN! Fast, Universal, Non-Semantic Speech Embeddings
Learned speech representations can drastically improve performance on ta...
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02/25/2020
Towards Learning a Universal Non-Semantic Representation of Speech
The ultimate goal of transfer learning is to reduce labeled data require...
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07/31/2019
Personalizing ASR for Dysarthric and Accented Speech with Limited Data
Automatic speech recognition (ASR) systems have dramatically improved ov...
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03/24/2018
Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron
We present an extension to the Tacotron speech synthesis architecture th...
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03/23/2018
Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis
In this work, we propose "global style tokens" (GSTs), a bank of embeddi...
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02/07/2018
Spatially adaptive image compression using a tiled deep network
Deep neural networks represent a powerful class of function approximator...
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11/01/2017
Uncovering Latent Style Factors for Expressive Speech Synthesis
Prosodic modeling is a core problem in speech synthesis. The key challen...
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05/18/2017
Target-Quality Image Compression with Recurrent, Convolutional Neural Networks
We introduce a stop-code tolerant (SCT) approach to training recurrent c...
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03/29/2017
Improved Lossy Image Compression with Priming and Spatially Adaptive Bit Rates for Recurrent Networks
We propose a method for lossy image compression based on recurrent, conv...
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08/18/2016