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Showing 1 to 3 of 3 for “"Speech Quality Assessment"”.

  1. Speech-Based Emotion Modelling and Mental Disorder Detection

    … and adaptive, personalised human-AI interaction. Speech contains important clues for detecting emotion through a variety of vocal characteristics such as prosody, along with speech patterns such as hesitation and laughter. This thesis first explores automatic emotion recognition (AER) from speech …

    cambridge Repository record for Speech-Based Emotion Modelling and Mental Disorder Detection (opens in a new tab)

  2. Assessing the Quality of Synthetic Speech when using Enhanced Speech as Training Data

    Both speech synthesis and speech enhancement are well researched fields, but their interaction remains under-explored. In particular, the effectiveness of using enhanced speech to train a speech synthesis model is still relatively unknown. This thesis investigates the effects of using enhanced …

    auckland-ms Repository record for Assessing the Quality of Synthetic Speech when using Enhanced Speech as Training Data (opens in a new tab)

  3. Synthetic voice design and implementation.

    The limitations of speech output technology emphasise the need for exploratory psychological research to maximise the effectiveness of speech as a display medium in human-computer interaction. Stage 1 of this study reviewed speech implementation research, focusing on general issues for tasks, users …

    bournemouth Repository record for Synthetic voice design and implementation. (opens in a new tab)