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08/21/2023
TokenSplit: Using Discrete Speech Representations for Direct, Refined, and Transcript-Conditioned Speech Separation and Recognition
We present TokenSplit, a speech separation model that acts on discrete t...
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03/13/2023
Guided Speech Enhancement Network
High quality speech capture has been widely studied for both voice commu...
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03/29/2022
CycleGAN-Based Unpaired Speech Dereverberation
Typically, neural network-based speech dereverberation models are traine...
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10/20/2021
Adapting Speech Separation to Real-World Meetings Using Mixture Invariant Training
The recently-proposed mixture invariant training (MixIT) is an unsupervi...
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06/30/2021
DF-Conformer: Integrated architecture of Conv-TasNet and Conformer using linear complexity self-attention for speech enhancement
Single-channel speech enhancement (SE) is an important task in speech pr...
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06/01/2021
Sparse, Efficient, and Semantic Mixture Invariant Training: Taming In-the-Wild Unsupervised Sound Separation
Supervised neural network training has led to significant progress on si...
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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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12/17/2020
Continuous Speech Separation Using Speaker Inventory for Long Multi-talker Recording
Leveraging additional speaker information to facilitate speech separatio...
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11/03/2020
Integration of speech separation, diarization, and recognition for multi-speaker meetings: System description, comparison, and analysis
Multi-speaker speech recognition of unsegmented recordings has diverse a...
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11/02/2020
What's All the FUSS About Free Universal Sound Separation Data?
We introduce the Free Universal Sound Separation (FUSS) dataset, a new c...
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11/02/2020
Sound Event Detection and Separation: a Benchmark on Desed Synthetic Soundscapes
We propose a benchmark of state-of-the-art sound event detection systems...
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07/08/2020
Improving Sound Event Detection In Domestic Environments Using Sound Separation
Performing sound event detection on real-world recordings often implies ...
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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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05/08/2019
Universal Sound Separation
Recent deep learning approaches have achieved impressive performance on ...
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04/13/2019
Low-Latency Speaker-Independent Continuous Speech Separation
Speaker independent continuous speech separation (SI-CSS) is a task of c...
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11/06/2018
SDR - half-baked or well done?
In speech enhancement and source separation, signal-to-noise ratio is a ...
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10/08/2018
Recognizing Overlapped Speech in Meetings: A Multichannel Separation Approach Using Neural Networks
The goal of this work is to develop a meeting transcription system that ...
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11/21/2017
Deep Long Short-Term Memory Adaptive Beamforming Networks For Multichannel Robust Speech Recognition
Far-field speech recognition in noisy and reverberant conditions remains...
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09/29/2017
PLDA-Based Diarization of Telephone Conversations
This paper investigates the application of the probabilistic linear disc...
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11/12/2013
Deep neural networks for single channel source separation
In this paper, a novel approach for single channel source separation (SC...
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07/29/2011
