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Repositories

CNN-n-GRU

Research code associated with emotion from the raw waveform.

Reproducing the work

Consult the repository README for the environment, data access conditions, training and evaluation instructions. Dataset access and code availability are separate; no restricted recordings are hosted by the bureau.

Projects

  1. 01

    Projects

    Emotion from the raw waveform

    CNN-n-GRU and related speech-analysis studies connect local acoustic patterns with temporal dependencies.

Further reading

Source repository

Research connections

  1. From unaltered raw waveform to emotion: Synergizing convolutional and gated recurrent networks for holistic speech emotion analysis produces CNN-n-GRU.

    The linked repository contains the research implementation associated with this study.

    Source ↗

  2. CNN-n-GRU: end-to-end speech emotion recognition from raw waveform signal using CNNs and gated recurrent unit networks produces CNN-n-GRU.

    The linked repository contains the research implementation associated with this study.

    Source ↗
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