Multi-Time-Scale Convolution for Emotion Recognition from Speech Audio Signals

6 Mar 2020Eric GuizzoTillman WeydeJack Barnett Leveson

Robustness against temporal variations is important for emotion recognition from speech audio, since emotion is ex-pressed through complex spectral patterns that can exhibit significant local dilation and compression on the time axis depending on speaker and context. To address this and potentially other tasks, we introduce the multi-time-scale (MTS) method to create flexibility towards temporal variations when analyzing time-frequency representations of audio data... (read more)

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