• Refine your search:
  • 
    Keyword:
    
    • 200101 Communication Studies (2)
    • 200322 Comparative Language Studies (2)
    • 200402 Computational Linguistics (2)
    • 200524 Comparative Literature Studies (2)
    • FOS Languages and literature (2)
    • FOS Media and communications (2)
  • 
    Creator / Publisher:
    
    • Jefin Joel (2)
  • 
    Year:
    
    • 2019 (2)
  • 
    Medium:
    
    • Online (2)
  • 
    Type:
    
    • Article (2)
  • 
    BLLDB-Access

Search in the Catalogues and Directories

All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 2 of 2 1 Improving Myanmar Automatic Speech Recognition with Optimization of Convolutional Neural Network Parameters ... Jefin Joel. - : figshare, 2019 Abstract: Researchers of many nations have developed automatic speech recognition (ASR) to show their national improvement in information and communication technology for their languages. This work intends to improve the ASR performance for Myanmar language by changing different Convolutional Neural Network (CNN) hyperparameters such as number of feature maps and pooling size. CNN has the abilities of reducing in spectral variations and modeling spectral correlations that exist in the signal due to the locality and pooling operation. Therefore, the impact of the hyperparameters on CNN accuracy in ASR tasks is investigated. A 42-hr-data set is used as training data and the ASR performance was evaluated on two open test sets: web news and recorded data. As Myanmar language is a syllable-timed language, ASR based on syllable was built and compared with ASR based on word. As the result, it gained 16.7% word error rate (WER) and 11.5% syllable error rate (SER) on TestSet1. And it also achieved 21.83% WER and 15.76% SER on ... Keyword: 200101 Communication Studies; 200322 Comparative Language Studies; 200402 Computational Linguistics; 200524 Comparative Literature Studies; FOS Languages and literature; FOS Media and communications URL: https://dx.doi.org/10.6084/m9.figshare.7666859 https://figshare.com/articles/Improving_Myanmar_Automatic_Speech_Recognition_with_Optimization_of_Convolutional_Neural_Network_Parameters/7666859 BASE Hide details 2 Improving Myanmar Automatic Speech Recognition with Optimization of Convolutional Neural Network Parameters ... Jefin Joel. - : figshare, 2019 BASE Show details

Mobile view All Catalogues UB Frankfurt Linguistik 0 IDS Mannheim 0 OLC Linguistik 0 UB Frankfurt Retrokatalog 0 DNB Subject Category Language 0 Institut für Empirische Sprachwissenschaft 0 Leibniz-Centre General Linguistics (ZAS) 0 Bibliographies BLLDB 0 BDSL 0 IDS Bibliografie zur deutschen Grammatik 0 IDS Bibliografie zur Gesprächsforschung 0 IDS Konnektoren im Deutschen 0 IDS Präpositionen im Deutschen 0 IDS OBELEX meta 0 MPI-SHH Linguistics Collection 0 MPI for Psycholinguistics 0 Linked Open Data catalogues Annohub 0 Online resources Link directory 0 Journal directory 0 Database directory 0 Dictionary directory 0 Open access documents BASE 2 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0