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Automatic audiovisual synchronisation for ultrasound tongue imaging ...
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Automatic audiovisual synchronisation for ultrasound tongue imaging
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Exploiting ultrasound tongue imaging for the automatic detection of speech articulation errors
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Automatic audiovisual synchronisation for ultrasound tongue imaging
Eshky, Aciel; Cleland, Joanne; Ribeiro, Manuel S.. - : Netherlands, Elsevier, 2021
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European Language Grid: An Overview ...
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European Language Grid: An Overview ...
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European Language Grid: An Overview ...
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Word Error Rate Estimation Without ASR Output: e-WER2 ...
Ali, Ahmed; Renals, Steve. - : arXiv, 2020
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Cross lingual transfer learning for zero-resource domain adaptation ...
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Speaker-independent classification of phonetic segments from raw ultrasound in child speech ...
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11
SUMMA: Scalable Understanding of Multilingual Media ...
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SUMMA: Scalable Understanding of Multilingual Media ...
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Speech Recognition Challenge in the Wild: Arabic MGB-3 ...
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WERd: Using Social Text Spelling Variants for Evaluating Dialectal Speech Recognition ...
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The Summa Platform Prototype ...
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The Summa Platform Prototype ...
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The SUMMA Platform Prototype
In: http://infoscience.epfl.ch/record/233575 (2017)
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Character-Level Neural Translation for Multilingual Media Monitoring in the SUMMA Project ...
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Multi-view Dimensionality Reduction for Dialect Identification of Arabic Broadcast Speech ...
Abstract: In this work, we present a new Vector Space Model (VSM) of speech utterances for the task of spoken dialect identification. Generally, DID systems are built using two sets of features that are extracted from speech utterances; acoustic and phonetic. The acoustic and phonetic features are used to form vector representations of speech utterances in an attempt to encode information about the spoken dialects. The Phonotactic and Acoustic VSMs, thus formed, are used for the task of DID. The aim of this paper is to construct a single VSM that encodes information about spoken dialects from both the Phonotactic and Acoustic VSMs. Given the two views of the data, we make use of a well known multi-view dimensionality reduction technique known as Canonical Correlation Analysis (CCA), to form a single vector representation for each speech utterance that encodes dialect specific discriminative information from both the phonetic and acoustic representations. We refer to this approach as feature space combination approach ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.1609.05650
https://arxiv.org/abs/1609.05650
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The MGB-2 Challenge: Arabic Multi-Dialect Broadcast Media Recognition ...
Ali, Ahmed; Bell, Peter; Glass, James. - : arXiv, 2016
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