Releases: yanhuicsdn/ohr-speaker
Releases · yanhuicsdn/ohr-speaker
Release list
v0.1.9-speaker
feat: temporal overlap mapping for multi-speaker evaluation - Replace position-based remapping with temporal overlap-based remapping - Add groundTruthTimeline with timestamps for 7-speaker meeting audio - Add remapSpeakersByTimeline function using temporal overlap - Remove unused remapSpeakersToCanonical function - Auto-tune with new evaluation: 87.2/100, 49% similarity, 7 speakers Co-Authored-By: AtomCode (deepseek-v4-flash) <noreply@atomgit.com>
v0.1.8-speaker — Multi-speaker auto-detect
v0.1.8-speaker
Breaking Changes
- Removed
numSpeakers=2constraint — FluidAudio now auto-detects speaker count via VBx clustering
Improvements
- Multi-speaker support: Works with 2–7+ speakers (tested with 7-speaker meeting)
- Auto-tuned parameters:
clustering.threshold=0.7,segmentation.stepRatio=0.3,embedding.minSegmentDuration=1.0s - Auto-tune function: Supports multi-speaker evaluation with Damerau-Levenshtein sequence matching and speaker remapping
- Evaluation: Updated scoring function handles any number of speakers (not just 2)
Test Results
- 7-speaker meeting (31 min): 7 speakers detected ✓, score 85.7/100
v0.1.7-speaker — Auto-tuned diarization
v0.1.7-speaker — AutoResearch 自动调优版
主要变更
- AutoResearch 式参数自动调优,33 次试验找到最佳参数组合
- 参数优化:
threshold=0.6,stepRatio=0.15,minSegmentDuration=0.3 - 新增
--tune标志,支持对新音频自动调优 - 说话人识别准确率大幅提升
调优关键发现
| 参数 | 旧值 | 新值 |
|---|---|---|
| clustering.threshold | 0.5 | 0.6 |
| segmentation.stepRatio | 0.2 | 0.15 |
| embedding.minSegmentDuration | 0.5 | 0.3 |
| segmentation.minDurationOn | 0.2 | 0.0 |
| segmentation.minDurationOff | 0.3 | 0.0 |
| postProcessing.minGapDuration | 0.05 | 0.1 |
下载
ohr-speaker_macOS_arm64.zip— macOS Apple Silicon (M1/M2/M3/M4)
v0.1.6-speaker
ohr-speaker v0.1.6-speaker
ohr 增强版,集成 FluidAudio 离线说话人分割(Speaker Diarization)。
新增功能
- 🗣️ 说话人识别 —
--speakers标志启用声纹分割 - 📝 支持说话人标签的纯文本、JSON、SRT、VTT 输出
- 🖥️ 服务器模式支持
diarize参数
安装
chmod +x ohr-speaker
./ohr-speaker --speakers 音频文件.wav说明
- 100% 本地运行,无需联网
- 首次运行自动下载 FluidAudio 模型(~700 MB)
- 基于 ohr v0.1.6