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Optimized Sigmoid Functions for Speech Presence Probability and Gain Function in Speech Enhancement
Speech presence probability (SPP) and gain functions such as Wiener filter or MMSE estimators require an estimate of the a-priori signal-to-noise...
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A Two-Stage Beamforming and Diffusion-Based Refiner System for 3D Speech Enhancement
Speech enhancement in 3D reverberant environments is a challenging and significant problem for many downstream applications, such as speech...
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An approach for speech enhancement with dysarthric speech recognition using optimization based machine learning frameworks
Dysarthric speech is the noisy or source distortion speech. Reasonable speech enhancement is required to obtain higher communication quality for...
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Single-Channel Speech Quality Enhancement in Mobile Networks Based on Generative Adversarial Networks
A large amount of randomly generated noise in mobile networks leads to a lack of targeting and gaming processes in the speech enhancement process,...
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Psychoacoustic model-driven spectral subtraction for monaural speech enhancement
In this paper, we investigate a psychoacoustic model-driven spectral subtraction framework for enhancement of noisy speech. In the proposed...
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Supervised Attention Multi-Scale Temporal Convolutional Network for monaural speech enhancement
Speech signals are often distorted by reverberation and noise, with a widely distributed signal-to-noise ratio (SNR). To address this, our study...
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Research on Speech Enhancement Algorithm by Fusing Improved EMD and GCRN Networks
Under the condition of low signal-to-noise ratio, for the problem of insufficient speech feature extraction and speech enhancement effect of the...
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An optimized convolutional neural network for speech enhancement
Speech enhancement is an important property in today’s world because most applications use voice recognition as an important feature for performing...
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Channel and temporal-frequency attention UNet for monaural speech enhancement
The presence of noise and reverberation significantly impedes speech clarity and intelligibility. To mitigate these effects, numerous deep...
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Deep Learning-Based Empirical and Sub-Space Decomposition for Speech Enhancement
This research presents a single-channel speech enhancement approach based on the combination of the adaptive empirical wavelet transform and the...
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Speech Enhancement: Traditional and Deep Learning Techniques
Speech enhancement techniques, including traditional methods and deep learning approaches, are essential in enhancing the quality of speech signals...
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Conditional Denoising Diffusion Implicit Model for Speech Enhancement
Recently, denoising diffusion probabilistic models (DDPMs) have been effective in speech enhancement. However, existing models largely follow the...
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Weibull and Nakagami speech priors based regularized NMF with adaptive wiener filter for speech enhancement
In this paper, a novel Weibull and Nakagami priors based regularized non-negative matrix factorization (NMF) with adaptive wiener filter approach for...
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Estimation of Ideal Binary Mask for Audio-Visual Monaural Speech Enhancement
The estimation of the Ideal Binary Mask (IBM) based on speech cochleagram and visual cues were carried out in this paper to improve the speech...
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In-Vehicle Environment Noise Speech Enhancement Using Lightweight Wave-U-Net
With the rapid advancement of AI technology, speech recognition has also advanced quickly. In recent years, speech-related technologies have been...
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Single-channel speech enhancement using implicit Wiener filter for high-quality speech communication
Speech enables easy human-to-human communication as well as human-to-machine interaction. However, the quality of speech degrades due to background...
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Improving low-complexity and real-time DeepFilterNet2 for personalized speech enhancement
DeepFilterNet2, a recently proposed real-time and low-complexity speech enhancement (SE) technique, has shown state-of-the-art SE performance in many...
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Speech Enhancement Algorithm Combining Cochlear Features and Deep Neural Network with Skip Connections
To solve the problem of the poor enhancement effect of traditional deep learning-based speech enhancement algorithms in low signal-to-noise ratio...
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Speech signal analysis and enhancement using combined wavelet Fourier transform with stacked deep learning architecture
Speech enhancement is a process of improving the quality and intelligibility of the degraded speech signal. Various techniques have been demonstrated...
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SHO based Deep Residual network and hierarchical speech features for speech enhancement
The human frequently finds difficulty in understanding the speech due to the real-world noises. The presence of external noises corrupts the...
