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Isolated Digit Recognition Using GMM in Various Quiet Environments

This study explores the effectiveness of Gaussian Mixture Models (GMM) for isolated digit recognition across five different quiet environments. It evaluates the performance of the model in terms of accuracy and robustness when recognizing spoken digits. Various techniques are applied to improve recognition rates, demonstrating the potential of GMMs in handling environmental noise. The results aim to contribute to advancements in automatic speech recognition systems, especially in contexts where high clarity and accuracy are crucial.

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Isolated Digit Recognition Using GMM in Various Quiet Environments

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  1. Isolated Digit Recognizer using GMM’s

  2. Five Quite Environment

  3. Six Quite Environment

  4. Eight Quite Environment

  5. Nine quite

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