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Phone Segmentation for Japanese Triphthong Using Neural Networks.

, , , , , и . ITNG, стр. 470-475. IEEE Computer Society, (2011)

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Huda Kaufmann

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Recurrent Neural Network Based Phoneme Recognition Incorporating Articulatory Dynamic Parameters., , , , , и . ACC (3), том 192 из Communications in Computer and Information Science, стр. 349-356. Springer, (2011)Local Feature or Mel Frequency Cepstral Coefficients - Which One Is Better for MLN-Based Bangla Speech Recognition?, , , , , и . ACC (2), том 191 из Communications in Computer and Information Science, стр. 154-161. Springer, (2011)Distinctive Phonetic Feature (DPF) Extraction Based on MLNs and Inhibition/Enhancement Network., , и . IEICE Trans. Inf. Syst., 92-D (4): 671-680 (2009)GraATP: A Graph Theoretic Approach for Automated Theorem Proving in Plane Geometry., , и . CoRR, (2014)Development of Analysis Rules for Bangla Part of Speech for Universal Networking Language., , , , , и . ITNG, стр. 797-802. IEEE Computer Society, (2011)Comparative Analysis of Intrusion Detection Systems and Machine Learning-Based Model Analysis Through Decision Tree., , и . IEEE Access, (2023)Inhibition/Enhancement Network Based ASR using Multiple DPF Extractors., , , , и . J. Multim., 6 (5): 395-403 (2011)A Hybrid POW-POS Implementation Against 51 percent Attack in Cryptocurrency System., , , , и . CloudCom, стр. 396-403. IEEE, (2019)Effect of articulatory Δ and ΔΔ parameters on multilayer neural network based speech recognition., , , , , , , и . APCCAS, стр. 624-627. IEEE, (2010)Bangla triphone HMM based word recognition., , , , , , , и . APCCAS, стр. 883-886. IEEE, (2010)