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
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Adaptive Resonance Theory: Self-Organizing Networks for Stable Learning, Recognition, and Prediction [PDF]
, 1995 Adaptive Resonance Theory (ART) is a neural theory of human and primate information processing and of adaptive pattern recognition and prediction for technology.
Carpenter, Gail, Grossberg, Stephen
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MFCC dan KNN untuk Pengenalan Suara Artikulasi P [PDF]
, 2020 Cleft lip and palate (CLP) is a term for patients who experience speech organ disorders, that disorder is caused by a gap found in the lip or palate. Patients will experience speech problems.
Anggoro, A. (Akhmad) +2 more
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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
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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
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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
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Likelihood-based semi-supervised model selection with applications to speech processing
, 2009 In conventional supervised pattern recognition tasks, model selection is typically accomplished by minimizing the classification error rate on a set of so-called development data, subject to ground-truth labeling by human experts or some other means.
Khudanpur, Sanjeev P. +2 more
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An investigation of potential applications of OP-SAPS: Operational Sampled Analog Processors [PDF]
The application of OP-SAP's (operational sampled analog processors) in pattern recognition system is summarized. Areas investigated include: (1) human face recognition; (2) a high-speed programmable transversal filter system; (3) discrete word (speech ...
Mcvey, E. S., Parrish, E. A.
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Speaker Independent Speech Recognition Using Neural Network [PDF]
, 2004 In spite of the advances accomplished throughout the last few decades, automatic speech recognition (ASR) is still a challenging and difficult task when the systems are applied in the real world.
Tan, Chin Luh
core
During visual word recognition, phonology is accessed within 100 ms and may be mediated by a speech production code: evidence from magnetoencephalography [PDF]
, 2010 Debate surrounds the precise cortical location and timing of access to phonological information during visual word recognition. Therefore, using whole-head magnetoencephalography (MEG), we investigated the spatiotemporal pattern of brain responses ...
Cornelissen, Piers +3 more
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