Best ElevenLabs setup for 30s ad voiceover
Producing weekly 30-second social ads in English and Spanish and need a reproducible ElevenLabs pipeline to generate brand-consistent voiceovers with quick turnarounds. Seeking settings, voice cloning tips, and post-processing steps for broadcast-level audio.
Answers
Approved replies, operator insight, and tactical follow-up from the community.
Recommendation (short):
Use ElevenLabs for a single, brand-master voice per language (English + Spanish) cloned from 1–3 minutes of clean reference audio, generate 2–3 prosody variants per 30s script, apply minimal broadcast-style processing (48 kHz / 24-bit, EQ, gentle compression, de-esser, limiter) and normalize to platform LUFS (-14 LUFS for social). Use ChatGPT to produce short A/B script variants and SSML-friendly phonetic spellings.
Why this works:
- Cloning keeps consistency episode-to-episode.
- Multiple prosody variants let you A/B test engagement without re-recording.
- Light, broadcast-minded post-processing ensures loudness and clarity across phones, TVs and feeds.
Decision criteria (pick your setup):
- Budget: If you have ElevenLabs Pro / custom voice budget, create separate high-quality clones. If not, pick a consistent ElevenLabs voice and use stylistic controls.
- Skill level: If you have an audio engineer, use detailed EQ/compression. If not, follow the simple presets (EQ cut + gentle compressor + limiter).
- Quality vs speed: Cloned + light post-processing is fastest. If highest expressivity is required, use a human VO and record weekly.
- Team size / workflow: Single creator = one master voice per language. Agency = maintain a voice asset library + style guide.
Practical pipeline (reproducible, weekly):
1) Script & localization: write ad in English, have human translate/localize to Spanish (don’t auto-translate literally). Use ChatGPT to create 2 short variants and punchy hook alternatives.
2) Markup for TTS: add SSML or inline punctuation for pauses, emphasis, and phonemes for tricky words (brand names). Keep sentences short for 30s pacing.
3) Voice selection / clone: for each language either (A) clone a native speaker reference (1–3 mins clean, neutral speech, varied sentences) or (B) choose a single ElevenLabs voice. If cloning, include expressive lines to capture inflection range.
4) TTS generation: for each script produce 2–3 takes with small adjustments in prosody/speed. Export 48 kHz / 24-bit WAV if possible.
5) Post-process (per take):
- Denoise if needed (very light).
- High-pass filter at 80–120 Hz to remove rumble.
- Subtractive EQ: reduce boxiness 200–400 Hz if present.
- Gentle de-esser around 4–8 kHz only if sibilance is audible.
- Compression: ratio 2:1, attack 5–10 ms, release 50–100 ms, aim for 3–6 dB gain reduction on peaks.
- Limiter: ceiling -1 dBTP.
- Loudness: normalize to -14 LUFS integrated for social; use -23 LUFS for broadcast/Tv.
6) QA & output: listen on earbuds, phone speaker, and laptop. Export final stems (voice only + final mixed ad). Store metadata: voice name, clone version, script ID.
Checklist (preflight):
- [ ] Reference audio (1–3 min) saved, labeled with mic/sample rate.
- [ ] Human-translated Spanish script.
- [ ] SSML or phonetic notes for brand names.
- [ ] Generate 2–3 TTS variants per script.
- [ ] Processed to -14 LUFS, limited to -1 dBTP.
- [ ] Listen on 3 devices; approve final take.
Best-for / Avoid-if
- Best-for: Teams that need fast, repeatable weekly ad production, consistent brand voice across languages, and low per-spot cost.
- Avoid-if: You need live actor nuance for emotional commercials, you must clone a celebrity without rights, or your budget can’t cover a stable TTS subscription.
Notes: adjust similarity/stability if you create custom clones (keep similarity moderate to avoid uncanny artifacts). Keep a versioned voice asset (date-stamped) so you can roll back if voicing quality changes. For script ideation and micro-A/B testing, use ChatGPT to draft punchy alternatives and tone variations.
Useful link: try ElevenLabs for voice cloning and generation (elevenlabs).
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