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Showing 1 to 3 of 3 for “"Spoken language technology"”.

  1. Self-Supervised Learning for Speech Processing

    … have achieved remarkable performance on various spoken language processing applications, often being the state of the arts on the corresponding leaderboards. However, the fact that training these systems relies on large amounts of annotated speech poses a scalability bottleneck for the continued …

    mit Repository record for Self-Supervised Learning for Speech Processing (opens in a new tab)

  2. Adapting existing games for education using speech recognition

    … practice of other skills. Incorporating spoken language technology could make it possible for users to learn as they play, keeping up with game speed through multimodal interaction. Two challenges exist in this research: first, it is unclear which learning strategy would be most eective …

    mit Repository record for Adapting existing games for education using speech recognition (opens in a new tab)

  3. Speech-Based Emotion Modelling and Mental Disorder Detection

    Emotion modelling and understanding are crucial for artificial intelligence (AI) systems to achieve enhanced contextual understanding and adaptive, personalised human-AI interaction. Speech contains important clues for detecting emotion through a variety of vocal characteristics such as prosody, …

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