[KongchangAI]
ConceptStreaming ASR

Streaming Speech Recognition

A speech recognition mode in which the model processes audio input in a streaming fashion and outputs text results in real time, requiring low latency and stateful inference.

Timeline (last 90 days)

Oct 26

Streaming speech recognition is fundamentally different from batch transcription: streaming recognition requires text to appear in real time as speech is spoken, rather than waiting for the entire utterance to finish and then outputting it all at once.

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Oct 26

Deploying streaming speech recognition models efficiently on Arm edge devices means lower cloud dependency, better privacy protection, and faster response times.

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Oct 21

Real-time transcription typically uses streaming speech recognition, where audio is fed to the model in chunks and text is output incrementally, with latency measured in seconds; real-time summarization requires repeatedly calling a large language model to compress and structure the growing transcript.

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Sep 22

The append-only subtitle strategy (Stable Hypothesis) means that once the model outputs a word it no longer modifies it, avoiding frequent subtitle flickering and rewrites.

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Sep 19

Under the same technology stack, streaming speech recognition performed well for English and Spanish, but Arabic frequently exhibited mid-sentence truncation.

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