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Showing 1 to 5 of 5 for “"Cascaded systems"”.

  1. Improving Cascaded Systems in Spoken Language Processing

    … central challenges in building spoken language systems is the lack of end-to-end training corpora. For example in spoken language translation, there is little annotated data that directly transcribes speech into a foreign language. Therefore, in spoken language processing, a cascaded structure …

    cambridge Repository record for Improving Cascaded Systems in Spoken Language Processing (opens in a new tab)

  2. Reconciling modal and time domain techniques in photonic simulation

    … expensive for large devices let alone cascaded systems, leading to the pursuit of a diversified simulation toolkit to acquire the full device response or combined device (cascade or parallel) response. A modular approach is followed subsequently. For analyzing silicon photonics at the …

    mit Repository record for Reconciling modal and time domain techniques in photonic simulation (opens in a new tab)

  3. Safe online learning for nonlinear dynamical systems using control contraction metrics

    … challenge for high dimensional non linear systems due to the inherent safety risks and computational challenges of solving exponential time algorithms. The research achieves this aim by providing an extensive survey of safe online learn ing approaches for nonlinear systems by assessing each …

    cranfield Repository record for Safe online learning for nonlinear dynamical systems using control contraction metrics (opens in a new tab)

  4. Speech-Based Emotion Modelling and Mental Disorder Detection

    … 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, along with speech patterns such …

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

  5. The Use of Language Models in End-to-End Spoken Language Processing

    … translation (ST). E2E spoken language processing systems have many advantages compared to cascaded systems, including global optimisation, a simplified pipeline, and a compact structure. However, E2E training further reduces interpretability and often lacks a modular structure, such as an explicit …

    cambridge Repository record for The Use of Language Models in End-to-End Spoken Language Processing (opens in a new tab)