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Found 6 papers, 1 papers with code
Audio Deepfake Detection Based on a Combination of F0 Information and Real Plus Imaginary Spectrogram Features
Meanwhile, to make full use of the phase and full-band information, we also propose to use real and imaginary spectrogram features as complementary input features and model the disjoint subbands separately.
Low-latency Monaural Speech Enhancement with Deep Filter-bank Equalizer
To improve the performance of traditional low-latency speech enhancement algorithms, a deep filter-bank equalizer (FBE) framework was proposed, which integrated a deep learning-based subband noise reduction network with a deep learning-based shortened digital filter mapping network.
A deep complex multi-frame filtering network for stereophonic acoustic echo cancellation
In hands-free communication system, the coupling between loudspeaker and microphone generates echo signal, which can severely influence the quality of communication.
Dual-branch Attention-In-Attention Transformer for single-channel speech enhancement
Curriculum learning begins to thrive in the speech enhancement area, which decouples the original spectrum estimation task into multiple easier sub-tasks to achieve better performance.
A Two-stage Complex Network using Cycle-consistent Generative Adversarial Networks for Speech Enhancement
After that, the second stage is applied to further suppress the residual noise components and estimate the clean phase by a complex spectral mapping network, which is a pure complex-valued network composed of complex 2D convolution/deconvolution and complex temporal-frequency attention blocks.
A Robust Maximum Likelihood Distortionless Response Beamformer based on a Complex Generalized Gaussian Distribution
The proposed beamformer can be regarded as a generalization of the minimum power distortionless response beamformer and its improved variations.
