AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This paper identifies a gap in both speech initiation and response content that requires genuine content understanding and intervention decisions grounded in it and constructs context-matched English monologues in which only the trigger utterance varies within a topic.
X2-NativeCursor is proposed, a lightweight observer that tracks progress from native speech tokens before waveform decoding without changing the TTS generator, and its normalization plan links spoken labels to their original-text spans.
A frame-synchronous turn state head that operates in parallel with the ASR head on shared streaming representations, jointly predicting ASR tokens and fine-grained turn states at the frame level is introduced.
X2Streaming-ASR is proposed, which decomposes streaming recognition into when to commit and what to commit, and achieves the best streaming CER among the evaluated systems on AISHELL-1 and AISHELL-3 with substantially lower latency.
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