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Local Feature or Mel Frequency Cepstral Coefficients - Which One is Better for MLN-Based Bangla Speech Recognition?, , , , , and . CoRR, (2013)UniLoc: Unified Fault Localization of Continuous Integration Failures., , and . ACM Trans. Softw. Eng. Methodol., 32 (6): 136:1-136:31 (November 2023)Phone Segmentation for Japanese Triphthong Using Neural Networks., , , , , and . ITNG, page 470-475. IEEE Computer Society, (2011)Automatic Building of Java Projects in Software Repositories: A Study on Feasibility and Challenges., , , and . ESEM, page 38-47. IEEE Computer Society, (2017)Inhibition/Enhancement Network Based ASR using Multiple DPF Extractors., , , , and . J. Multim., 6 (5): 395-403 (2011)An Empirical Study of Software Exceptions in the Field using Search Logs., , , , and . ESEM, page 4:1-4:12. ACM, (2020)Effect of articulatory Δ and ΔΔ parameters on multilayer neural network based speech recognition., , , , , , , and . APCCAS, page 624-627. IEEE, (2010)Mining readme files to support automatic building of Java projects in software repositories: poster., and . ICSE (Companion Volume), page 277-279. IEEE Computer Society, (2017)DPF-based japanese phoneme recognition using tandem MLNs., , , , , , , and . HIS, page 209-212. IEEE, (2010)Bangla triphone HMM based word recognition., , , , , , , and . APCCAS, page 883-886. IEEE, (2010)