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Showing 1 to 2 of 2 for “"automated speech recognition"”.

  1. Time domain classification of transient RFI

    … sequence may be represented. Some approaches in Automated Speech Recognition (ASR) are similar: spoken words are divided into individual labelled phonemes. Representing RFI signals as sequences enables the use of hidden Markov models (HMMs) for identification. HMMs are well suited to sequence …

    cape-town Repository record for Time domain classification of transient RFI (opens in a new tab)

  2. Mispronunciation Detection for Language Learning and Speech Recognition Adaptation

    … "accent detection" more specifically) within the speech recognition community are receiving increased attention now. Two application areas, namely language learning and speech recognition adaptation, are largely driving this research interest and are the focal points of this work.</p> <p>There are …

    purdue-thes Repository record for Mispronunciation Detection for Language Learning and Speech Recognition Adaptation (opens in a new tab)