Results 61 to 70 of about 167,964,167 (121)
End‐to‐end speech‐denoising deep neural network based on residual‐attention gated linear units
The current gated linear unit (GLU) utilizes half of the signal as a gating signal, applying it to the main signal portion corresponding to the speech feature map of the other half. In contrast, the proposed residual‐attention GLU employs a residual‐attention network to improve the channel and temporal context within the signal, enhancing the noise ...
Seon Man Kim
wiley +1 more source
Speech enhancement through denoising is essential for maintaining signal intelligibility and quality in biometric speaker verification pipelines that operate in acoustically adverse conditions.
Md Jahangir Alam Khondkar +3 more
doaj +1 more source
Abstract Adversarial attacks have been posing significant security concerns to intelligent systems, such as speaker recognition systems (SRSs). Most attacks assume the neural networks in the systems are known beforehand, while black‐box attacks are proposed without such information to meet practical situations.
Junjian Zhang +4 more
wiley +1 more source
Postfiltering with Complex Spectral Correlations for Speech and Audio Coding
State-of-the-art speech codecs achieve a good compromise between quality, bitrate and complexity. However, retaining performance outside the target bitrate range remains challenging.
Das, Sneha +3 more
core +1 more source
Model predictive PESQ-ANFIS/FUZZY C-MEANS for image-based speech signal evaluation
This paper presents a new method to evaluate the quality of speech signals through images generated from a psychoacoustic model to estimate PESQ (ITU-T P862) values using a first-order Fuzzy Sugeno approach implemented in the Adaptive Neuro-Fuzzy ...
Eder Pereira Neves +9 more
core +1 more source
Impact of Background Traffic on Speech Quality in VoWLAN
This paper describes measurements of the impact of background traffic on speech quality in an environment of WLANs (IEEE 802.11). The simulated background traffic consists of three types of current traffics in telecommunication networks such as data ...
Peter Počta +2 more
doaj +1 more source
Single-Channel Speech Enhancement Based on Adaptive Low-Rank Matrix Decomposition
The low-rank matrix decomposition (LMD) algorithm based on the maximum correntropy criterion (MCC) has recently shown its superiority to other algorithms in classification (e.g., face recognition), and we develop it into single-channel speech enhancement
Chao Li +3 more
doaj +1 more source
Auditory filterbank denoising neural network for speech enhancement in wearable auditory device
The proposed auditory filterbank denoising neural network aims at enhancing speech within each band by integrating a denoising neural network within the analysis phase of a uniform polyphase discrete Fourier transform filterbank for auditory devices such as hearing aids.
Seon Man Kim
wiley +1 more source
Air Traffic Control Speech Enhancement Method Based on Improved DNN-IRM
The quality of air traffic control speech is crucial. However, internal and external noise can impact air traffic control speech quality. Clear speech instructions and feedback help optimize flight processes and responses to emergencies.
Yuezhou Wu, Pengfei Li, Siling Zhang
doaj +1 more source
Piezoelectric Multi‐Channel Bilayer Transducer for Sensing and Filtering Ossicular Vibration
This study presents a middle ear implantable transducer for fully implantable cochlear implants. The transducer`s dimensions are compatible with routine cochlear implant procedures. The multi‐channel system covers the daily acoustic band with a high signal‐to‐noise ratio.
Muhammed Berat Yüksel +2 more
wiley +1 more source

