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text-to-speech

Practical mastering steps for TTS audio: cleanup, loudness normalization, alignment, and delivery specs.

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Quellinformationen

Repository
benchflow-ai/skillsbench
Letzte Quellaktivität
5. Juni 2026 um 23:46
Erkannte Sprache von SKILL.md
Englisch
Sterne
1.816
Forks
368

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Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
text-to-speech
description
Practical mastering steps for TTS audio: cleanup, loudness normalization, alignment, and delivery specs.
# SKILL: TTS Audio Mastering This skill focuses on producing clean, consistent, and delivery-ready TTS audio for video tasks. It covers speech cleanup, loudness normalization, segment boundaries, and export specs. ## 1. TTS Engine & Output Basics Choose a TTS engine based on deployment constraints and quality needs: * **Neural offline** (e.g., Kokoro): stable, high quality, no network dependency. * **Cloud TTS** (e.g., Edge-TTS / OpenAI TTS): convenient, higher naturalness but network-dependent. * **Formant TTS** (e.g., espeak-ng): for prototyping only; often less natural. **Key rule:** Always confirm the **native sample rate** of the generated audio before resampling for video delivery. --- ## 2. Speech Cleanup (Per Segment) Apply lightweight processing to avoid common artifacts: * **Rumble/DC removal:** high-pass filter around **20 Hz** * **Harshness control:** optional low-pass around **16 kHz** (helps remove digital fizz) * **Click/pop prevention:** short fades at boundaries (e.g., **50 ms** fade-in and fade-out) Recommended FFmpeg pattern (example): * Add filters in a single chain, and keep them consistent across segments. --- ## 3. Loudness Normalization Target loudness depends on the benchmark/task spec. A common target is ITU-R BS.1770 loudness measurement: * **Integrated loudness:** **-23 LUFS** * **True peak:** around **-1.5 dBTP** * **LRA:** around **11** (optional) Recommended workflow: 1. **Measure loudness** using FFmpeg `ebur128` (or equivalent meter). 2. **Apply normalization** (e.g., `loudnorm`) as the final step after cleanup and timing edits. 3. If you adjust tempo/duration after normalization, re-normalize again. --- ## 4. Timing & Segment Boundary Handling When stitching segment-level TTS into a full track: * Match each segment to its target window as closely as possible. * If a segment is shorter than its window, pad with silence. * If a segment is longer, use gentle duration control (small speed change) or truncate carefully. * Always apply boundary fades after padding/trimming to avoid clicks. **Sync guideline:** keep end-to-end drift small (e.g., **<= 0.2s**) unless the task states otherwise.
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