Results 71 to 80 of about 545,718 (303)
Speech recognition error patterns for steady-state noise and interrupted speech [PDF]
The Journal of the Acoustical Society of America, 2017 Listening in various types of adverse listening conditions may lead to different errors in speech recognition. Young adults repeated sentences degraded by steady-state noise or periodically interrupted by noise preserved at varying proportions. Recognition errors were analyzed according to the noise type and speech proportion.
Kimberly G, Smith, Daniel, Fogerty
openaire +2 more sources
Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?
FEBS Letters, EarlyView.This graphical summary illustrates the roles of phosphatidylinositol 4‐kinases (PI4Ks). PI4Ks regulate key cellular processes and can be hijacked by pathogens, such as viruses, bacteria and parasites, to support their intracellular replication. Their dual role as essential host enzymes and pathogen cofactors makes them promising drug targets.
Ana C. Mendes +3 more
wiley +1 more source
Using Voice Technologies to Support Disabled People
Journal of Disability ResearchIn recent years, significant strides have been made in speech and speaker recognition systems, owing to the rapid evolution of data processing capabilities.
H. E. Semary +2 more
doaj +1 more source
Advances in Electrical and Computer Engineering, 2019 A novel binary memristor crossbar architecture based on multilayer neural networks is proposed in the speech recognition application. Here, the memristor crossbar circuit acts as the weights of the neural network combined with the activation function ...
VO, M.-H.
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Discrete-level memristive circuits for HTM-based spatiotemporal data classification system
IET Cyber-Physical Systems, 2018 The authors propose a discrete-level memristive memory design for analogue data processing in hardware implementations of hierarchical temporal memory (HTM). In this study, memristors were set to ternary and quaternary states in a sub-cell by application
Aidana Irmanova +2 more
doaj +1 more source
A Convolutional Neural Network model based on Neutrosophy for Noisy Speech Recognition
, 2019 Convolutional neural networks are sensitive to unknown noisy condition in the test phase and so their performance degrades for the noisy data classification task including noisy speech recognition.
Akbari, Ahmad +2 more
core +1 more source
FEBS Letters, EarlyView.This perspective highlights emerging insights into how the circadian transcription factor CLOCK:BMAL1 regulates chromatin architecture, cooperates with other transcription factors, and coordinates enhancer dynamics. We propose an updated framework for how circadian transcription factors operate within dynamic and multifactorial chromatin landscapes ...
Xinyu Y. Nie, Jerome S. Menet
wiley +1 more source
An Evaluate of Pattern Identification Programs and Its Strategies [PDF]
, 2016 At the moment existence, Pattern Recognition has turned into an essential idea from analyst perspective. It is utilized as a part of numerous applications like Speech acknowledgment, facade acknowledgment, Biometrics and numerous other moreover.
Lakshminarasimha, K. (K) +1 more
core +1 more source
Time after time – circadian clocks through the lens of oscillator theory
FEBS Letters, EarlyView.Oscillator theory bridges physics and circadian biology. Damped oscillators require external drivers, while limit cycles emerge from delayed feedback and nonlinearities. Coupling enables tissue‐level coherence, and entrainment aligns internal clocks with environmental cues.
Marta del Olmo +2 more
wiley +1 more source
A Review on Language-Independent Search on Speech and its Applications
IEEE AccessA thorough analysis of language-independent search methods and models for speech detection, a crucial task in retrieving audio file from large archives based on spoken queries was presented in this study.
Sushil Venkatesh Kulkarni, Sukomal Pal
doaj +1 more source