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  • Open Access


    An Analysis of Perceptual Confusions on Logatome Utterances for Similar Language

    Nur-Hana Samsudin1,*, Mark Lee2

    Intelligent Automation & Soft Computing, Vol.32, No.2, pp. 1025-1039, 2022, DOI:10.32604/iasc.2022.022180

    Abstract In a polyglot speech synthesis, it is possible to use one language resource for another language. However, if the adaptation is not implemented carefully, the foreignness of the sound will be too noticeable for the listeners. This paper presents the analysis of respondents’ acceptance of a series of listening tests. The research goal was to find out in the absence of phonemes of a particular language, would it be possible for the phonemes to be replaced with another language’s phonemes. This will be especially beneficial for under-resourced language either in the case for 1) the… More >

  • Open Access


    End-to-End Speech Recognition of Tamil Language

    Mohamed Hashim Changrampadi1,*, A. Shahina2, M. Badri Narayanan2, A. Nayeemulla Khan3

    Intelligent Automation & Soft Computing, Vol.32, No.2, pp. 1309-1323, 2022, DOI:10.32604/iasc.2022.022021

    Abstract Research in speech recognition is progressing with numerous state-of-the-art results in recent times. However, relatively fewer research is being carried out in Automatic Speech Recognition (ASR) for languages with low resources. We present a method to develop speech recognition model with minimal resources using Mozilla DeepSpeech architecture. We have utilized freely available online computational resources for training, enabling similar approaches to be carried out for research in a low-resourced languages in a financially constrained environments. We also present novel ways to build an efficient language model from publicly available web resources to improve accuracy in More >

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