Real time speech enhancement in the waveform domain
We present a causal speech enhancement model working on the raw waveform that runs in
real-time on a laptop CPU. The proposed model is based on an encoder-decoder …
real-time on a laptop CPU. The proposed model is based on an encoder-decoder …
The interspeech 2020 deep noise suppression challenge: Datasets, subjective testing framework, and challenge results
The INTERSPEECH 2020 Deep Noise Suppression (DNS) Challenge is intended to
promote collaborative research in real-time single-channel Speech Enhancement aimed to …
promote collaborative research in real-time single-channel Speech Enhancement aimed to …
ICASSP 2021 deep noise suppression challenge
The Deep Noise Suppression (DNS) challenge is designed to foster innovation in the area
of noise suppression to achieve superior perceptual speech quality. We recently organized …
of noise suppression to achieve superior perceptual speech quality. We recently organized …
Interspeech 2021 deep noise suppression challenge
The Deep Noise Suppression (DNS) challenge is designed to foster innovation in the area
of noise suppression to achieve superior perceptual speech quality. We recently organized …
of noise suppression to achieve superior perceptual speech quality. We recently organized …
A real-time convolutional neural network based speech enhancement for hearing impaired listeners using smartphone
This paper presents a Speech Enhancement (SE) technique based on multi-objective
learning convolutional neural network to improve the overall quality of speech perceived by …
learning convolutional neural network to improve the overall quality of speech perceived by …
[HTML][HTML] Factors influencing intentions of people with hearing impairments to use augmented reality glasses as hearing aids
The advent and progression of AR (augmented reality) technology, coupled with the
emergence of AR hearing aid glasses, offer a novel opportunity for people with hearing …
emergence of AR hearing aid glasses, offer a novel opportunity for people with hearing …
Automated machine learning based speech classification for hearing aid applications and its real-time implementation on smartphone
Deep neural networks (DNNs) have been useful in solving benchmark problems in various
domains including audio. DNNs have been used to improve several speech processing …
domains including audio. DNNs have been used to improve several speech processing …
[PDF][PDF] CFTNet: Complex-valued frequency transformation network for speech enhancement
It is widely known that the presence of multi-speaker babble noise greatly degrades speech
intelligibility. However, suppressing noise without creating artifacts in human speech is …
intelligibility. However, suppressing noise without creating artifacts in human speech is …
Real-time convolutional neural network-based speech source localization on smartphone
In this paper, we present a real-time convolutional neural network (CNN) based approach
for speech source localization (SSL) using Android-based smartphone and its two built-in …
for speech source localization (SSL) using Android-based smartphone and its two built-in …
Speech Enhancement: A Survey of Approaches and Applications
S Chhetri, MS Joshi, CV Mahamuni… - … Conference on Edge …, 2023 - ieeexplore.ieee.org
The paper provides a comprehensive overview of speech enhancement techniques and
their applications. It discusses challenges in non-stationary noise, reverberation, and …
their applications. It discusses challenges in non-stationary noise, reverberation, and …