Analysis in progress. This can take a minute while speaker embeddings are computed. This page refreshes automatically.
{% elif report is none %}No analysis yet. Click "Run Analysis" to compute objective metrics from the generated voice references.
{% else %}âš {{ name }}: {{ err }}
{% endfor %}| Speaker | Duration | Sample Rate | Mean Pitch | Pitch Range | Voiced % | Energy | Nearest Voice | Status |
|---|---|---|---|---|---|---|---|---|
| {{ name }} | {{ '%.1f'|format(feats.duration) }}s | {{ feats.sample_rate }} {% if not reqs.sample_rate.passed %}!{% endif %} | {% if feats.mean_pitch_hz %} {{ '%.0f'|format(feats.mean_pitch_hz) }} Hz {% else %}—{% endif %} | {% if feats.pitch_std_hz %} ±{{ '%.0f'|format(feats.pitch_std_hz) }} Hz {% else %}—{% endif %} | {{ '%.0f'|format(feats.voiced_ratio * 100) }}% | {{ '%.3f'|format(feats.rms) }} | {% if reqs.uniqueness.nearest_neighbor %} {{ reqs.uniqueness.nearest_neighbor }} ({{ '%.0f'|format(reqs.uniqueness.value * 100) }}%) {% else %}—{% endif %} | {% if voice.passed %} PASS {% else %} FAIL {% endif %} |
Metrics: duration ≥ 20s, sample rate = 24000 Hz, mean pitch via librosa pyin, uniqueness = ECAPA-TDNN speaker-embedding similarity (< 0.90 required). Generated {{ report.generated_at }}.
{% endif %}