To overcome these limitations, we propose phredGAN , a multi-modal hredGAN dialogue system which additionally conditions the adversarial framework proposed by <cite>Olabiyi et al. [7]</cite> on speaker and/or utterance attributes in order to maintain response quality of hredGAN and still capture speaker and other modalities within a conversation.