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Showing 1 to 3 of 3 for “"robust automatic speech recognition"”.

  1. Acoustic Model Adaptation For Reverberation Robust Automatic Speech Recognition

    … provide the sensation of space. However, for automatic speech recognition even moderate amount of reverberation is very harmful. It corrupts the clean speech which leads to deterioration in the performance of the speech recognizer. Moreover, in the enclosed environment, reverberation has the …

    trento Repository record for Acoustic Model Adaptation For Reverberation Robust Automatic Speech Recognition (opens in a new tab)

  2. Discriminative and adaptive training for robust speech recognition and understanding

    Robust automatic speech recognition (ASR) and understanding (ASU) under various conditions remains to be a challenging problem even with the advances of deep learning. To achieve robust ASU, two discriminative training objectives are proposed for keyword spotting and topic classification: (1) To …

    gatech Repository record for Discriminative and adaptive training for robust speech recognition and understanding (opens in a new tab)

  3. Statistical Model Based Multi-Microphone Speech Processing: Toward Overcoming Mismatch Problem

    In this thesis, a joint optimal method for clean speech estimation and ASR in a mismatched condition will be described with a unified speech model under a generalized expectation maximization (GEM) scheme. From this perspective, multi-microphone optimal speech estimation can be interpreted as …

    uiuc Repository record for Statistical Model Based Multi-Microphone Speech Processing: Toward Overcoming Mismatch Problem (opens in a new tab)