ICDN: integrating consistency and difference networks by transformer for multimodal sentiment analysis

Summary: This research investigates the potential of Transformer Transducer (T-T) models for low latency and fast decoding on large-scale datasets by combining Transformer-XL and chunk-wise streaming processes, showing that it outperforms other models in streaming scenarios. Runtime cost and latency can be optimized with a relatively small look-ahead.