Mobilebert: a compact task-agnostic bert for resource-limited devices
Z Sun, H Yu, X Song, R Liu, Y Yang, D Zhou - ar** with gated convolutional recurrent networks for monaural speech enhancement
Phase is important for perceptual quality of speech. However, it seems intractable to directly
estimate phase spectra through supervised learning due to their lack of spectrotemporal …
estimate phase spectra through supervised learning due to their lack of spectrotemporal …
Survey on semantic segmentation using deep learning techniques
Semantic segmentation is a challenging task in computer vision systems. A lot of methods
have been developed to tackle this problem ranging from autonomous vehicles, human …
have been developed to tackle this problem ranging from autonomous vehicles, human …
Deep ANC: A deep learning approach to active noise control
Traditional active noise control (ANC) methods are based on adaptive signal processing
with the least mean square algorithm as the foundation. They are linear systems and do not …
with the least mean square algorithm as the foundation. They are linear systems and do not …
Complex spectral map** with a convolutional recurrent network for monaural speech enhancement
Phase is important for perceptual quality in speech enhancement. However, it seems
intractable to directly estimate phase spectrogram through supervised learning due to lack of …
intractable to directly estimate phase spectrogram through supervised learning due to lack of …
Deep MCANC: A deep learning approach to multi-channel active noise control
Traditional multi-channel active noise control (MCANC) is based on adaptive filtering and
usually uses a separate control unit for each channel. This paper introduces a deep learning …
usually uses a separate control unit for each channel. This paper introduces a deep learning …
[PDF][PDF] Deep Learning for Joint Acoustic Echo and Noise Cancellation with Nonlinear Distortions.
We formulate acoustic echo and noise cancellation jointly as deep learning based speech
separation, where near-end speech is separated from a single microphone recording and …
separation, where near-end speech is separated from a single microphone recording and …
Fusing bone-conduction and air-conduction sensors for complex-domain speech enhancement
Speech enhancement aims to improve the listening quality and intelligibility of noisy speech
in adverse environments. It proves to be challenging to perform speech enhancement in …
in adverse environments. It proves to be challenging to perform speech enhancement in …
Deep learning based real-time speech enhancement for dual-microphone mobile phones
In mobile speech communication, speech signals can be severely corrupted by background
noise when the far-end talker is in a noisy acoustic environment. To suppress background …
noise when the far-end talker is in a noisy acoustic environment. To suppress background …
Dual-branch modeling based on state-space model for speech enhancement
L Sun, S Yuan, A Gong, L Ye… - IEEE/ACM Transactions …, 2024 - ieeexplore.ieee.org
Traditional time-frequency domain speech enhancement methods either only enhance the
amplitude spectral features without changing the phase that contributes to the naturalness …
amplitude spectral features without changing the phase that contributes to the naturalness …