feat(eval): ASR 模型评估框架
横向对比云端 gummy 与本地开源模型(faster-whisper/SenseVoice/Paraformer), 重点覆盖中英混说,产出准确率(CER/WER/MER)/速度(延迟/RTF)/资源(cpu/mem/模型大小) 对比报告。公共集(ASCEND/AISHELL/LibriSpeech)统一走 HF 适配器 + 自定义 JSONL manifest。 gummy 引擎对照 server/internal/asr/gummy.go 协议移植。 Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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{"id": "smoke-a", "audio": "clips/smoke_a.wav", "text": "帮我把这份周报整理一下,重点突出本周的进展", "lang": "zh", "domain": "general"}
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{"id": "smoke-b", "audio": "clips/smoke_b.wav", "text": "今天下午三点开会,记得带上笔记本电脑", "lang": "zh", "domain": "general"}
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{"id": "smoke-c", "audio": "clips/smoke_c.wav", "text": "请把这个文件发送到我的邮箱", "lang": "zh", "domain": "general"}
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