Dev Tools · 1h ago
Pitch-Based Speaker Labeling Beats Gated AI Models
A developer replaced the gated pyannote diarization model with a pitch-measurement approach that requires no tokens or licenses. The method uses librosa to measure average pitch per segment and clusters into two groups. It works reliably for two-party calls where speakers have different voice pitches.
Meridian48 take
Clever signal-processing hacks can outperform heavy AI models for specific tasks, but this approach's simplicity limits it to two-speaker scenarios with distinct pitches.
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Measure, Don't Estimate: Labeling Speakers Without a Gated Model →
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speaker-diarizationsignal-processing