SmallestAI 登顶 VoiceArena 说话人分离与语音识别榜首
SmallestAI 在 VoiceArena 语音榜单拿了第一，这个榜用远场真实录音测试、每人单独麦克风做标注，比传统干净音频基准靠谱多了。
SmallestAI 在 VoiceArena 的说话人分离与 ASR 排行榜拿下第一。该榜单的测试方式是让模型处理远场房间录音，即麦克风与说话人之间有距离。评分用的基准真值则来自每位说话人身上佩戴的独立麦克风，因此输入真实、标注准确。大多数说话人分离基准要么用干净音频，要么标注混乱，VoiceArena 同时避免了这两个问题。
Congrats @smallest_AI on taking #1 for diarization + ASR on @voicearena_ai.
Its a very effective real-world kind of benchmark: > models hear far-field room audio (i.e. microphone is some distance away from the people speaking), but they’re scored against labels built from a mic on every speaker.
> Realistic input, accurate ground truth. That combination is rare.
Many diarization benchmarks either use clean audio or have messy labels. @voicearena_ai avoids both: models get far-field recordings of real in-person conversations, and the ground truth comes from individual mics on each speaker. #1 really means something.
Congrats @smallest_AI.
