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@voicearena_ai @smallest_AI This is so interesting because most diarization scoring forgives a little error at speaker boundaries. A 0 ms collar forgives none.
Pulse 在 Voice Arena 说话人识别与转写榜单中排名第一
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Voice Arena 称，@smallest_AI 的 Pulse 在同时输出转写文本和说话人标签的赛道中，以 24.4% 的说话人识别错误率位列七个系统之首；下一名 ElevenLabs Scribe v2 为 40.7%。这项评测采用不宽容说话人边界误差的 0 毫秒容差；在包含专用说话人识别模型的完整榜单中，Pulse 排名第五。
Pulse by @smallest_AI currently ranks #1 in the Diarization + ASR track by DER, as the newest entry on the Voice Arena Diarization Bench.
The Diarization + ASR track ranks Speaker-Attributed ASR systems that return speaker labels together with the transcript. Seven systems are in it today. Pulse scores 24.4% DER at a strict 0 ms collar. The next system, ElevenLabs Scribe v2, scores 40.7%. That is 1.7x lower error than the next best in the track.
Most of the gap is missed speech. For every other system in the track, missed speech is the largest part of the error, above 30% for each of them. Pulse misses 4.4% of reference speech, the lowest in the track.
On the full board of 13 systems, dedicated diarization models and Speaker-Attributed ASR systems together, Pulse places 5th. It is the highest-ranked Speaker-Attributed ASR system on the board and sits ahead of two dedicated diarization models.
The result holds across settings:
In-person recordings : 24.7% DER
In online calls : 22.4% DER
Congratulations to @smallest_AI 👏
View full results, per track and per condition: https://t.co/T9H6hLEUxR
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