Results 121 to 130 of about 41,235 (305)
, 2016 ## SUPERSEDED: THIS DATASET HAS BEEN REPLACED by the one which can be found at https://doi.org/10.7488/ds/2117. ## Clean and noisy parallel speech database. The database was designed to train and test speech enhancement methods that operate at 48kHz.
Valentini-Botinhao, Cassia
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FEBS Open Bio, EarlyView.Abruptly changing from aerobic to anaerobic conditions (sudden anaerobization) induced growth inhibition and a significant increase in intracellular labile ferrous iron in the aerotolerant anaerobe Amphibacillus xylanus. We found that free flavins mediate efficient electron transfer from NADH to ferric iron under anaerobic conditions, suggesting that ...
Shinya Kimata +13 more
wiley +1 more source
Attentive Training: A New Training Framework for Speech Enhancement. [PDF]
IEEE/ACM Trans Audio Speech Lang Process, 2023 Pandey A, Wang D.
europepmc +1 more source
FEBS Open Bio, EarlyView.UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová +2 more
wiley +1 more source
Multichannel Speech Enhancement Based on Generalized Gamma Prior Distribution with Its Online Adaptive Estimation [PDF]
, 2008 We present a multichannel speech enhancement method based on MAP speech spectral magnitude estimation using a generalized gamma model of speech prior distribution, where the model parameters are adapted from actual noisy speech in a frame-by-frame manner.
TAKEDA, Kazuya +2 more
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Investigations on the Optimal Estimation of Speech Envelopes for the Two-Stage Speech Enhancement. [PDF]
Sensors (Basel), 2023 Song Y, Madhu N.
europepmc +1 more source
Enhancing Neural Speech Embeddings for Generative Speech Models
2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)We explore a speech enhancement framework where neural speech embeddings, derived from pre-trained self-supervised learning (SSL) models applied to noisy signals, are used as inputs to a neural vocoder to generate the corresponding clean speech. The primary innovation lies in enhancing these latent neural embeddings to mitigate distortions caused by ...
Kim, Doyeon +3 more
openaire +2 more sources
Directed evolution of enzymes at the crossroads of tradition and innovation
FEBS Open Bio, EarlyView.An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
Enhancement of single channel speech using perceptual-decision-directed approach
, 2012 [[abstract]]The masking properties of the human ear have been successfully applied to adapt a speech enhancement system, yielding an improvement in speech quality. The accuracy of estimated speech spectra plays a major role in computing the noise masking
陸清達;Lu, Ching-Ta
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Deep Learning-based Speech Enhancement for Real-life Applications [PDF]
Speech enhancement is the process of improving speech quality and intelligibility by suppressing noise. Inspired by the outstanding performance of the deep learning approach for speech enhancement, this thesis aims to add to this research area through ...
Abdallah Abdelhafiz Nossier, Soha
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