Transformer-Transducer: End-to-End Speech Recognition with Self-Attention

This content describes the Transformer-Transducer model, a novel architecture for end-to-end speech recognition that leverages the self-attention mechanism of Transformers. It focuses on improving the accuracy and efficiency of transcribing spoken language directly into text.