S-DCCRN: Super Wide Band DCCRN With Learnable Complex Feature For Speech Enhancement

Abstract

In speech enhancement, complex neural network has shown promising performance due to their effectiveness in processing complex-valued spectrum. Most of the recent speech enhancement approaches mainly focus on wide-band signal with a sampling rate of 16K Hz. However, research on super wide band (e.g., 32K Hz) or even full-band (48K) denoising is still lacked due to the difficulty of modeling more frequency bands and particularly high frequency components. In this paper, we extend our previous deep complex convolution recurrent neural network (DCCRN) substantially to a super wide band version -- S-DCCRN, to perform speech denoising on speech of 32K Hz sampling rate. We first employ a cascaded sub-band and full-band processing module, which consists of two small-footprint DCCRNs -- one operates on sub-band signal and one operates on full-band signal, aiming at benefiting from both local and global frequency information. Moreover, instead of simply adopting the STFT feature as input, we us

Stats

• citations38
• S2 citations—
• github stars0
• HF likes0
• heat score11.93
• arxiv keylv2021s

Related papers

• DCCRN+: Channel-wise Subband DCCRN With SNR Estimation For Speech Enhancement (2021)0.00
• DCCRN: Deep Complex Convolution Recurrent Network For Phase-aware Speech Enhancement (2020)20.78
• Spatial-dccrn: Dccrn Equipped With Frame-level Angle Feature And Hybrid Filtering For Multi-channel Speech Enhancement (2022)5.84
• Multi-channel End-to-end Neural Network For Speech Enhancement, Source Localization, And Voice Activity Detection (2022)0.00
• DPCRN: Dual-path Convolution Recurrent Network For Single Channel Speech Enhancement (2021)14.35
• Real-time Monaural Speech Enhancement With Short-time Discrete Cosine Transform (2021)0.00
• A Deep Representation Learning-based Speech Enhancement Method Using Complex Convolution Recurrent Variational Autoencoder (2023)7.16
• Dmf-net: A Decoupling-style Multi-band Fusion Model For Full-band Speech Enhancement (2022)7.16