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Hierarchical Softmax for End-to-End Low-resource Multilingual Speech Recognition ...
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Liu, Qianying; Yang, Yuhang; Gong, Zhuo; Li, Sheng; Ding, Chenchen; Minematsu, Nobuaki; Huang, Hao; Cheng, Fei; Kurohashi, Sadao. - : arXiv, 2022
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Abstract:
Low resource speech recognition has been long-suffering from insufficient training data. While neighbour languages are often used as assistant training data, it would be difficult for the model to induct similar units (character, subword, etc.) across the languages. In this paper, we assume similar units in neighbour language share similar term frequency and form a Huffman tree to perform multi-lingual hierarchical Softmax decoding. During decoding, the hierarchical structure can benefit the training of low-resource languages. Experimental results show the effectiveness of our method. ... : 5 pages, Interspeech submission ...
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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
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URL: https://arxiv.org/abs/2204.03855 https://dx.doi.org/10.48550/arxiv.2204.03855
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Exploiting Auxiliary Data for Offensive Language Detection with Bidirectional Transformers ...
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Developing a Socioculturally Nuanced Systems Model of Childhood Obesity in Manhattan's Chinese American Community via Group Model Building
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In: J Obes (2020)
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Source of Transfer in the Acquisition of French as a Third Language from the Generative Perspective
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The effect of entrance radii on intraglottal pressure distributions in the divergent glottis
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Lexical Access and Semantic Organization in Children with Specific Language Impairment ...
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Context-Dependent Lexical Paraphrasing Based on Web Mining
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In: http://ir.hit.edu.cn/~zhaosq/paper/JOSc.pdf
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Paraphrase Collocation Extraction based on Binary Classification *
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In: http://ir.hit.edu.cn/~zhaosq/paper/JOSa.pdf
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