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05/18/2023
Unsupervised Multi-channel Separation and Adaptation
A key challenge in machine learning is to generalize from training data ...
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05/11/2023
NUBO: A Transparent Python Package for Bayesian Optimisation
NUBO, short for Newcastle University Bayesian Optimisation, is a Bayesia...
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07/01/2022
Distance-Based Sound Separation
We propose the novel task of distance-based sound separation, where soun...
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05/05/2021
End-to-End Diarization for Variable Number of Speakers with Local-Global Networks and Discriminative Speaker Embeddings
We present an end-to-end deep network model that performs meeting diariz...
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09/09/2020
VoiceFilter-Lite: Streaming Targeted Voice Separation for On-Device Speech Recognition
We introduce VoiceFilter-Lite, a single-channel source separation model ...
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06/23/2020
Unsupervised Sound Separation Using Mixtures of Mixtures
In recent years, rapid progress has been made on the problem of single-c...
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11/18/2019
Alternating Between Spectral and Spatial Estimation for Speech Separation and Enhancement
This work investigates alternation between spectral separation using mas...
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05/08/2019
Universal Sound Separation
Recent deep learning approaches have achieved impressive performance on ...
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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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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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08/02/2018
AVA-Speech: A Densely Labeled Dataset of Speech Activity in Movies
Speech activity detection (or endpointing) is an important processing st...
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04/10/2018
Looking to Listen at the Cocktail Party: A Speaker-Independent Audio-Visual Model for Speech Separation
We present a joint audio-visual model for isolating a single speech sign...
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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
