Orukeet, new ASR model based on Parakeet
Orukeet 是一种基于 Parakeet 的新型 ASR 模型，其性能有所提升。它在 74 个测试拆分中的 61 个上表现优于 Parakeet，包括 LibriSpeech test-clean（1.46% 对 1.53% WER）、test-other（2.86% 对 3.14%）和 FLEURS 英语（3.82% 对 4.28%）。在所有 25 种 FLEURS 语言中，Orukeet 的合并 WER 为 9.85%，而 Parakeet 为 11.01%，相对降低了 10.6%。
时间与来源
时间显示为 UTC
显示时区：UTC
本地时区尚不可用，暂时显示 UTC。
发布当时偏移：UTC+02026年9月11日 15:50 UTC
收录当时偏移：UTC+02026年9月12日 15:01 UTC
- 发布
- 2026年9月11日 15:50
- 收录
- 2026年9月12日 15:01
- 来源类型
- 开发者社区
- 档位
- 社区
- 信源状态
- 正常
档位是按信源手工设定的编辑判断，不是逐条打分。
讨论趋势
百分比基于采集到的讨论信号，不代表新增评论数或独立参与人数。曲线仅用于同一话题在不同时段的比较。
I haven't seen this mentioned yet, so I thought it deserves a post. I was trying out OpenWhispr when this model came up as the recommendation. So I don't have personal experience yet, but it's supposed to be a better version of Parakeet, especially on Macs.
Their official tidbit: "Orukeet is a 25-language speech recognizer built from NVIDIA Parakeet TDT 0.6B v3. It replaces half of the encoder's temporal depthwise filters with 12,288 fitted, frozen Gabor kernels and trains the remaining parameters on multilingual and multi-accent data.
Orukeet outperforms Parakeet on 61 of 74 tested splits, including LibriSpeech test-clean (1.46% vs. 1.53% WER), test-other (2.86% vs. 3.14%), and FLEURS English (3.82% vs. 4.28%). Across all 25 FLEURS languages, pooled WER is 9.85% vs. 11.01%, a 10.6% relative reduction. Final adaptation and checkpoint selection use LibriSpeech test-other."