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Speaker change detection using excitation source and vocal tract system information.

, , , and . NCC, page 1-6. IEEE, (2015)

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A Class of Neuro-Computational Methods for Assamese Fricative Classification., , and . J. Artif. Intell. Soft Comput. Res., 5 (1): 59 (2015)An ANN based approach to recognize initial phonemes of spoken words of Assamese language., and . Appl. Soft Comput., 13 (5): 2281-2291 (2013)Vowel Phoneme Segmentation for Speaker Identification Using an ANN-Based Framework., and . J. Intell. Syst., 22 (2): 111-130 (2013)Speaker identification model for Assamese language using a neural framework., and . IJCNN, page 1-7. IEEE, (2013)RNN and SOM based classifier to recognize assamese fricative sounds designed using frame based temporal feature sets., , and . IJCNN, page 3496-3502. IEEE, (2014)Extracting Speaker's Gender, Accent, Age and Emotional State from Speech., , , , , and . INTERSPEECH, page 2384-2385. ISCA, (2018)Closed-Set Text-Independent Speaker Identification System Using Multiple ANN Classifiers., , , and . FICTA (1), volume 327 of Advances in Intelligent Systems and Computing, page 377-385. Springer, (2014)Improving Emotion Identification Using Phone Posteriors in Raw Speech Waveform Based DNN., , , , , and . INTERSPEECH, page 3925-3929. ISCA, (2019)Training Hybrid Models on Noisy Transliterated Transcripts for Code-Switched Speech Recognition., , , , , , , , , and 3 other author(s). Interspeech, page 2906-2910. ISCA, (2021)Speaker change detection using excitation source and vocal tract system information., , , and . NCC, page 1-6. IEEE, (2015)