Figure 3
From: Within and cross-corpus speech emotion recognition using latent topic model-based features
Effects of pre-training. A comparison of the classification error (%) between an sRSM with pre-trained and randomly initialized weights on SEMAINE and USC IEMOCAP. The higher error achieved in the latter case is due to the parameters getting stuck at a bad local optima. Pre-training overcomes this limitation and provides a better starting point using the input observations only.