VQV Signal
According to a post on X by @sahilmdkr, he released Earlybird, a 29M-parameter predictive speech-to-text model. He said most streaming models wait 90 to 400 ms after a word ends before outputting it. He said Earlybird predicts words correctly a median of 90 ms before they end. The provided text does not include independent benchmark results.
According to a post on X by @sahilmdkr, he released Earlybird, a 29M-parameter predictive speech-to-text model. He said most streaming models wait 90 to 400 ms after a word ends before outputting it. He said Earlybird predicts words correctly a median of 90 ms before they end. The provided text does not include independent benchmark results.
AI-assisted summary based on the listed source.
@sahilmdkr released Earlybird, a 29M-parameter predictive speech-to-text model. He said most streaming models wait 90–400 ms after a word ends before outputting it, while Earlybird predicts words correctly a median of 90 ms before they end. Why it matters: Lower transcription delay matters for voice agents and...
The post argues that lower transcription delay matters for voice agents and live captioning, where every 100 ms is noticeable. Developers building those products could see a meaningful change in how responsive a voice interface feels if the claimed speed holds up. Whether these figures are confirmed outside the author's own description is not shown in the material available.
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VQV surfaced this signal because it is recent, relevant to AI Voice, connected to Scobleizer News Pulse (X).
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