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SLPL SHROOM at SemEval2024 Task 06 : A comprehensive study on models ability to detect hallucination.

, , , , , , , and . SemEval@NAACL, page 1148-1154. Association for Computational Linguistics, (2024)

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Nonstationary-state hidden Markov model representation of speech signals for speech enhancement., and . Signal Process., 82 (2): 205-227 (2002)Localized discriminative Gaussian process latent variable model for text-dependent speaker verification., , and . ESANN, (2016)Speech enhancement based on hidden Markov model with discrete cosine transform coefficients using Laplace and Gaussian distributions., , and . ISSPA, page 304-309. IEEE, (2012)Speaker models reduction for optimized telephony text-prompted speaker verification., , and . CCECE, page 1470-1474. IEEE, (2015)Active learning of EHVS parser for Persian language understanding., , , and . IST, page 827-832. IEEE, (2012)The integration of principal component analysis and cepstral mean subtraction in parallel model combination for robust speech recognition., and . Digit. Signal Process., 21 (1): 36-53 (2011)Semi-supervised parallel shared encoders for speech emotion recognition., , and . Digit. Signal Process., (2021)Ghmerti at SemEval-2019 Task 6: A Deep Word- and Character-based Approach to Offensive Language Identification., , and . SemEval@NAACL-HLT, page 617-621. Association for Computational Linguistics, (2019)Unilateral semi-supervised learning of extended hidden vector state for Persian Language Understanding., , and . NLPKE, page 165-168. IEEE, (2011)Support Vector Data Description for Spoken Digit Recognition., , , , and . BIOSIGNALS, page 32-37. SciTePress, (2012)