Results 41 to 50 of about 192 (149)
Segmentation‐enhanced gamma spectrum denoising based on deep learning
This paper proposes a segmentation‐enhanced convolutional neural network‐stacked denoising autoencoder (CNN‐SDAE) method based on convolutional feature extraction network and stacked denoising autoencoder to achieve gamma spectrum denoising, which adopts the idea of data segmentation to enhance the learning ability of the neural network.
Xiangqun Lu +6 more
wiley +1 more source
Implementation of Hybrid Speech Dereverberation Systems and Proposing Dual Microphone Farsi Database in Order to Evaluating Enhancement Systems [PDF]
In various applications, such as speech recognition and automatic teleconferencing, the recorded speech signals may be corrupted by both noise and reverberation. Reverberation causes a noticeable change in speech intelligibility and quality.
Farhad Faghani, Hamid Reza Abutalebi
doaj
In acoustic multi-channel equalization techniques, such as complete multi-channel equalization based on the multiple-input/output inverse theorem (MINT), relaxed multi-channel least-squares (RMCLS), and partial multi-channel equalization based on MINT ...
Ina Kodrasi, Simon Doclo
doaj +1 more source
A Phase-Coherent Four-Stage Pipeline for the Dereverberation of Quránic Recitation
The accuracy of spectro-temporal features for Makhaarij al-Huroof and Sifaat distinguishes between the ten canonical Qiraát recitation styles of the Holy Quran. However, real-world room reverberations blur formant contours and corrupt inter-word energies,
Osama Al Maaini +3 more
doaj +1 more source
The accuracy performance of traditional direction of arrival (DOA) estimation algorithms is seriously affected by the reverberation. Considering the advantage of the sparse characteristic of speech signal in time-frequency (T-F) domain, this paper ...
Qiang Fu, Bo Jing, Pengju He
doaj +1 more source
Delay and Predict Equalization for Blind Speech Dereverberation [PDF]
In this paper, we consider the blind multichannel dereverberation problem for a single source. The multichannel reverberation impulse response is assumed to be stationary enough to allow estimation of the correlations it induces from the received signals.
Mahdi Triki, Dirk T. M. Slock
openaire +1 more source
Iteratively Refined Multi-Channel Speech Separation
The combination of neural networks and beamforming has proven very effective in multi-channel speech separation, but its performance faces a challenge in complex environments.
Xu Zhang +3 more
doaj +1 more source
ICASSP 2023 Deep Noise Suppression Challenge
The ICASSP 2023 Deep Noise Suppression (DNS) Challenge marks the fifth edition of the DNS challenge series. DNS challenges were organized from 2019 to 2023 to foster research in the field of DNS.
Harishchandra Dubey +10 more
doaj +1 more source
The effect of reverberation on speech is to cause it to sound distant and spectrally distorted and can also reduce intelligibility. Dereverberation is therefore an important speech enhancement process for hands-free terminals. This is a blind problem and currently an unsolved problem. This paper reviews existing ap- proaches and discuss current work on
Naylor, Patrick, Gaubitch, Nikolay
openaire +1 more source
Translate Reverberated Speech to Anechoic Ones: Speech Dereverberation with BERT
Single channel speech dereverberation is considered in this work. Inspired by the recent success of Bidirectional Encoder Representations from Transformers (BERT) model in the domain of Natural Language Processing (NLP), we investigate its applicability as backbone sequence model to enhance reverberated speech signal.
openaire +2 more sources

