Matches in SemOpenAlex for { <https://semopenalex.org/work/W2891378637> ?p ?o ?g. }
Showing items 1 to 57 of
57
with 100 items per page.
- W2891378637 abstract "It has been created a program to recognize human voice by using artificial neural network (ANN). The ANN method used is Hebb. Hebb was chosen because it is the simplest ANN so the training and testing process is faster than other methods. Designing the program is started by designing Hebb’s architecture and design of GUI (Graphical User Interface) using Matlab R2009a. The design of Hebb's architecture consists of 4500 inputs and 3 outputs. The GUI design of the program consists of three main sections: recording panels to record sample sounds, training panels to determine the weighted value and bias of the training results according to the Hebb training algorithm, and the testing panel to test the test sounds according to the Hebb testing algorithm. After program design, proceed with the testing of the program. Testing of the program starts with the sound recording of samples from 8 different people using the record panel. Each person has 1 voice sample for training data. Then proceed with the Hebb training process using the training panel, weight and bias value displayed on the training panel. After the weight and bias values ??are obtained, proceed with the Hebb testing process using 16 test sound data consisting of 8 sound data equal to training data and 8 noise data. From the testing program process obtained a result of 100% for the level of recognition of the same voice data with training data and for noise data has a recognition rate of 87.5%." @default.
- W2891378637 created "2018-09-27" @default.
- W2891378637 creator A5007568212 @default.
- W2891378637 creator A5021026611 @default.
- W2891378637 creator A5049209212 @default.
- W2891378637 date "2018-05-01" @default.
- W2891378637 modified "2023-09-25" @default.
- W2891378637 title "Human Voice Recognition by Using Hebb Artificial Neural Network Method" @default.
- W2891378637 doi "https://doi.org/10.24843/bf.2018.v19.i01.p04" @default.
- W2891378637 hasPublicationYear "2018" @default.
- W2891378637 type Work @default.
- W2891378637 sameAs 2891378637 @default.
- W2891378637 citedByCount "0" @default.
- W2891378637 crossrefType "journal-article" @default.
- W2891378637 hasAuthorship W2891378637A5007568212 @default.
- W2891378637 hasAuthorship W2891378637A5021026611 @default.
- W2891378637 hasAuthorship W2891378637A5049209212 @default.
- W2891378637 hasBestOaLocation W28913786371 @default.
- W2891378637 hasConcept C154945302 @default.
- W2891378637 hasConcept C15744967 @default.
- W2891378637 hasConcept C28490314 @default.
- W2891378637 hasConcept C41008148 @default.
- W2891378637 hasConcept C46312422 @default.
- W2891378637 hasConcept C50644808 @default.
- W2891378637 hasConceptScore W2891378637C154945302 @default.
- W2891378637 hasConceptScore W2891378637C15744967 @default.
- W2891378637 hasConceptScore W2891378637C28490314 @default.
- W2891378637 hasConceptScore W2891378637C41008148 @default.
- W2891378637 hasConceptScore W2891378637C46312422 @default.
- W2891378637 hasConceptScore W2891378637C50644808 @default.
- W2891378637 hasLocation W28913786371 @default.
- W2891378637 hasOpenAccess W2891378637 @default.
- W2891378637 hasPrimaryLocation W28913786371 @default.
- W2891378637 hasRelatedWork W1526844615 @default.
- W2891378637 hasRelatedWork W1582816515 @default.
- W2891378637 hasRelatedWork W1997376575 @default.
- W2891378637 hasRelatedWork W2070906082 @default.
- W2891378637 hasRelatedWork W2213944860 @default.
- W2891378637 hasRelatedWork W2317202888 @default.
- W2891378637 hasRelatedWork W2476359075 @default.
- W2891378637 hasRelatedWork W2606977153 @default.
- W2891378637 hasRelatedWork W2885968973 @default.
- W2891378637 hasRelatedWork W2918008277 @default.
- W2891378637 hasRelatedWork W2943983628 @default.
- W2891378637 hasRelatedWork W3135632513 @default.
- W2891378637 hasRelatedWork W3149241308 @default.
- W2891378637 hasRelatedWork W3199822328 @default.
- W2891378637 hasRelatedWork W828044440 @default.
- W2891378637 hasRelatedWork W2396450379 @default.
- W2891378637 hasRelatedWork W2622393884 @default.
- W2891378637 hasRelatedWork W2731082325 @default.
- W2891378637 hasRelatedWork W3122016241 @default.
- W2891378637 hasRelatedWork W3138607301 @default.
- W2891378637 isParatext "false" @default.
- W2891378637 isRetracted "false" @default.
- W2891378637 magId "2891378637" @default.
- W2891378637 workType "article" @default.