Streaming End to End

Streaming end-to-end (E2E) automatic speech recognition (ASR) focuses on building real-time speech recognition systems that minimize latency without sacrificing accuracy. Current research emphasizes efficient model architectures like decoder-only models and sequence transducers, often incorporating techniques such as chunk-based processing, CTC loss functions, and multi-pass rescoring to improve both speed and accuracy. These advancements are crucial for applications requiring low-latency interaction, such as real-time transcription, voice assistants, and interactive dialogue systems, driving improvements in both the efficiency and accuracy of speech processing technology.