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PHO-LID: A Unified Model Incorporating Acoustic-Phonetic and Phonotactic Information for Language Identification ...
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Enhance Language Identification using Dual-mode Model with Knowledge Distillation ...
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Abstract:
In this paper, we propose to employ a dual-mode framework on the x-vector self-attention (XSA-LID) model with knowledge distillation (KD) to enhance its language identification (LID) performance for both long and short utterances. The dual-mode XSA-LID model is trained by jointly optimizing both the full and short modes with their respective inputs being the full-length speech and its short clip extracted by a specific Boolean mask, and KD is applied to further boost the performance on short utterances. In addition, we investigate the impact of clip-wise linguistic variability and lexical integrity for LID by analyzing the variation of LID performance in terms of the lengths and positions of the mimicked speech clips. We evaluated our approach on the MLS14 data from the NIST 2017 LRE. With the 3~s random-location Boolean mask, our proposed method achieved 19.23%, 21.52% and 8.37% relative improvement in average cost compared with the XSA-LID model on 3s, 10s, and 30s speech, respectively. ... : Submitted to Odyssey 2022 ...
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Keyword:
Audio and Speech Processing eess.AS; Computation and Language cs.CL; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; Sound cs.SD
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URL: https://arxiv.org/abs/2203.03218 https://dx.doi.org/10.48550/arxiv.2203.03218
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How to dry fish ; ZM13 ; Documentation and description of the Laitu language with a focus on endangered cultural practices
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Challenges confronting teachers of English language learners
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Complete mitochondrial DNA genome variation in Peninsular Malaysia
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Eng, Ken Khong. - : University of Leeds, 2014. : Faculty of Biological Sciences (Leeds), 2014
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Language affects patterns of brain activation associated with perceptual decision
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