A Hybrid Model for Weakly-Supervised Speech Dereverberation
This paper introduces a new training strategy to improve speech dereverberation systems using minimal acoustic information and reverberant (wet) speech. Most existing algorithms rely on paired dry/wet data, which is difficult to obtain, or on target metrics that may not adequately capture reverberation characteristics and can lead to poor results on ...
Louis Bahrman +2 more
openaire +2 more sources
A causal and talker-independent speaker separation/dereverberation deep learning algorithm: Cost associated with conversion to real-time capable operation. [PDF]
Healy EW +3 more
europepmc +1 more source
Multi-microphone Complex Spectral Mapping for Utterance-wise and Continuous Speech Separation. [PDF]
Wang ZQ, Wang P, Wang D.
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A Survey on Low-Latency DNN-Based Speech Enhancement. [PDF]
Drgas S.
europepmc +1 more source
DSENet: Directional Signal Extraction Network for Hearing Improvement on Edge Devices. [PDF]
Kovalyov A, Patel K, Panahi I.
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F 0 Estimation and Voicing Detection With Cascade Architecture in Noisy Speech. [PDF]
Zhang Y, Wang H, Wang D.
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Sixty Years of Frequency-Domain Monaural Speech Enhancement: From Traditional to Deep Learning Methods. [PDF]
Zheng C +6 more
europepmc +1 more source
CGA-MGAN: Metric GAN Based on Convolution-Augmented Gated Attention for Speech Enhancement. [PDF]
Chen H, Zhang X.
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A Novel Artificial-Intelligence-Based Reverberation-Reduction Algorithm for Cochlear Implants Enhances Speech Intelligibility and User Experience. [PDF]
Langerak NC +6 more
europepmc +1 more source
A two-stage deep learning algorithm for talker-independent speaker separation in reverberant conditions. [PDF]
Delfarah M, Liu Y, Wang D.
europepmc +1 more source

