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07/13/2023
Sequential Monte Carlo Learning for Time Series Structure Discovery
This paper presents a new approach to automatically discovering accurate...
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05/30/2023
Grammar Prompting for Domain-Specific Language Generation with Large Language Models
Large language models (LLMs) can learn to perform a wide range of natura...
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10/27/2022
ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images
The problem of inferring object shape from a single 2D image is undercon...
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07/21/2022
Language Model Cascades
Prompted models have demonstrated impressive few-shot learning abilities...
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02/04/2020
tfp.mcmc: Modern Markov Chain Monte Carlo Tools Built for Modern Hardware
Markov chain Monte Carlo (MCMC) is widely regarded as one of the most im...
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11/14/2019
Coincidence, Categorization, and Consolidation: Learning to Recognize Sounds with Minimal Supervision
Humans do not acquire perceptual abilities in the way we train machines....
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10/23/2019
Automatically Batching Control-Intensive Programs for Modern Accelerators
We present a general approach to batching arbitrary computations for acc...
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11/20/2018
Differentiable Consistency Constraints for Improved Deep Speech Enhancement
In recent years, deep networks have led to dramatic improvements in spee...
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11/16/2018
Exploring Tradeoffs in Models for Low-latency Speech Enhancement
We explore a variety of neural networks configurations for one- and two-...
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11/05/2018
Simple, Distributed, and Accelerated Probabilistic Programming
We describe a simple, low-level approach for embedding probabilistic pro...
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10/11/2018
VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram Masking
In this paper, we present a novel system that separates the voice of a t...
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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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12/22/2017
On Using Backpropagation for Speech Texture Generation and Voice Conversion
Inspired by recent work on neural network image generation which rely on...
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12/16/2017
Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions
This paper describes Tacotron 2, a neural network architecture for speec...
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12/08/2017
Neumann Optimizer: A Practical Optimization Algorithm for Deep Neural Networks
Progress in deep learning is slowed by the days or weeks it takes to tra...
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11/28/2017
TensorFlow Distributions
The TensorFlow Distributions library implements a vision of probability ...
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11/06/2017
Unsupervised Learning of Semantic Audio Representations
Even in the absence of any explicit semantic annotation, vast collection...
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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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11/01/2017
An Information-Theoretic Analysis of Deep Latent-Variable Models
We present an information-theoretic framework for understanding trade-of...
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03/29/2017
Tacotron: Towards End-to-End Speech Synthesis
A text-to-speech synthesis system typically consists of multiple stages,...
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01/13/2017
Deep Probabilistic Programming
We propose Edward, a Turing-complete probabilistic programming language....
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11/28/2016
AutoMOS: Learning a non-intrusive assessor of naturalness-of-speech
Developers of text-to-speech synthesizers (TTS) often make use of human ...
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09/29/2016
CNN Architectures for Large-Scale Audio Classification
Convolutional Neural Networks (CNNs) have proven very effective in image...
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08/16/2016
Scalable Learning of Non-Decomposable Objectives
Modern retrieval systems are often driven by an underlying machine learn...
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07/19/2016