Speech Denoising
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Benchmarks
LRS2+VGGSound
LRS3+VGGSound
Most implemented
WaveCRN: An Efficient Convolutional Recurrent Neural Network for End-to-end Speech Enhancement
Speech Denoising with Deep Feature Losses
CMGAN: Conformer-Based Metric-GAN for Monaural Speech Enhancement
FRA-RIR: Fast Random Approximation of the Image-source Method
Speech Denoising Without Clean Training Data: A Noise2Noise Approach
Papers
Low-Power End-to-End Cochlear Implant Speech Denoising with Spiking Neural Networks
Cochlear implants (CI) restore hearing for individuals with severe to profound hearing loss. However, CI users often struggle to understand speech in noisy environments. Deep neural networks (DNN) have shown promise in e…
Speech EnhancementSpeech DenoisingTime-Varying Deep State Space Models for Sequences with Switching Dynamics
The identification and modeling of time-varying systems is a fundamental challenge in signal processing and system identification. To address this challenge, we propose a class of time-varying state-space model (SSM) bas…
Speech DenoisingLightweight DNN for Full-Band Speech Denoising on Mobile Devices: Exploiting Long and Short Temporal Patterns
Speech denoising (SD) is an important task of many, if not all, modern signal processing chains used in devices and for everyday-life applications. While there are many published and powerful deep neural network (DNN)-ba…
Speech DenoisingBalalaika: Data-Centric, Prosody-Aware Annotation Pipeline for Russian Speech
We introduce Balalaika, an open-source, data-centric pipeline for processing audio and producing prosody-aware annotations. It combines semantic VAD for context-preserving segmentation, multi-ASR ensembling with ROVER co…
Speech DenoisingActive Speech Enhancement: Active Speech Denoising Decliping and Deveraberation
We introduce a new paradigm for active sound modification: Active Speech Enhancement (ASE). While Active Noise Cancellation (ANC) algorithms focus on suppressing external interference, ASE goes further by actively shapin…
DenoisingMambaSpeech DenoisingSpeech EnhancementKnowledge Distillation for Speech Denoising by Latent Representation Alignment with Cosine Distance
Speech denoising is a generally adopted and impactful task, appearing in many common and everyday-life use cases. Although there are very powerful methods published, most of those are too complex for deployment in everyd…
DenoisingKnowledge DistillationSpeech Denoising