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04/22/2023
On Accelerating Diffusion-Based Sampling Process via Improved Integration Approximation
One popular diffusion-based sampling strategy attempts to solve the reve...
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04/22/2023
Lookahead Diffusion Probabilistic Models for Refining Mean Estimation
We propose lookahead diffusion probabilistic models (LA-DPMs) to exploit...
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03/23/2023
LMCodec: A Low Bitrate Speech Codec With Causal Transformer Models
We introduce LMCodec, a causal neural speech codec that provides high qu...
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02/25/2023
Directed Diffusion: Direct Control of Object Placement through Attention Guidance
Text-guided diffusion models such as DALLE-2, IMAGEN, and Stable Diffusi...
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01/22/2023
Estimation of Source and Receiver Positions, Room Geometry and Reflection Coefficients From a Single Room Impulse Response
We propose an algorithm to estimate source and receiver positions, room ...
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07/05/2022
Ultra-Low-Bitrate Speech Coding with Pretrained Transformers
Speech coding facilitates the transmission of speech over low-bandwidth ...
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04/05/2022
On the Relevance of Bandwidth Extension for Speaker Verification
In this paper, we consider the effect of a bandwidth extension of narrow...
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03/24/2022
On Exploiting Layerwise Gradient Statistics for Effective Training of Deep Neural Networks
Adam and AdaBelief compute and make use of elementwise adaptive stepsize...
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02/24/2022
On the relevance of bandwidth extension for speaker identification
In this paper we discuss the relevance of bandwidth extension for speake...
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12/09/2021
Extending AdamW by Leveraging Its Second Moment and Magnitude
Recent work [4] analyses the local convergence of Adam in a neighbourhoo...
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07/19/2021
Revisiting the Primal-Dual Method of Multipliers for Optimisation over Centralised Networks
The primal-dual method of multipliers (PDMM) was originally designed for...
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02/23/2021
Handling Background Noise in Neural Speech Generation
Recent advances in neural-network based generative modeling of speech ha...
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02/18/2021
Generative Speech Coding with Predictive Variance Regularization
The recent emergence of machine-learning based generative models for spe...
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09/10/2019
Generative Speech Enhancement Based on Cloned Networks
We propose to implement speech enhancement by the regeneration of clean ...
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08/19/2019
Salient Speech Representations Based on Cloned Networks
We define salient features as features that are shared by signals that a...
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08/05/2019
The HSIC Bottleneck: Deep Learning without Back-Propagation
We introduce the HSIC (Hilbert-Schmidt independence criterion) bottlenec...
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02/24/2019
Rapidly Adapting Moment Estimation
Adaptive gradient methods such as Adam have been shown to be very effect...
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07/30/2018
Kernel Density Estimation-Based Markov Models with Hidden State
We consider Markov models of stochastic processes where the next-step co...
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03/18/2018
Directional emphasis in ambisonics
We describe an ambisonics enhancement method that increases the signal s...
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12/01/2017
Wavenet based low rate speech coding
Traditional parametric coding of speech facilitates low rate but provide...
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08/20/2017
An evaluation of intrusive instrumental intelligibility metrics
Instrumental intelligibility metrics are commonly used as an alternative...
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08/17/2017
An instrumental intelligibility metric based on information theory
We propose a new monaural intrusive instrumental intelligibility metric ...
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05/28/2017
Cross-modal Subspace Learning for Fine-grained Sketch-based Image Retrieval
Sketch-based image retrieval (SBIR) is challenging due to the inherent d...
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07/12/2016
Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation
In this paper, we propose a novel unsupervised domain adaptation algorit...
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10/15/2015
Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization
This paper addresses classification tasks on a particular target domain ...
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08/31/2015
Domain Generalization for Object Recognition with Multi-task Autoencoders
The problem of domain generalization is to take knowledge acquired from ...
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09/21/2014