25-voice-clone-podcast-global

name: 25-voice-clone-podcast-global description: "Audio AI for global personal brand — voice clone (ElevenLabs, Murf, PlayHT), podcast, audiobook, voiceover. 3 use cases: short voiceover (TikTok/Reels), podcast 30-60min, audiobook. 1:10 repurpose (1 podcast → 10 short clips). English (US/UK/AU/SG accents available). Trigger: 'voice clone global', 'ElevenLabs', 'podcast AI', 'audiobook AI', 'voiceover AI'." metadata: version: 1.0.0 category: content license: MIT triggers: - "voice clone global" - "ElevenLabs" - "podcast AI" - "audiobook AI" - "voiceover AI" related: - 24-ai-avatar-production-global - 26-thought-leadership-content-global - references/voice-clone-prompts-global - references/ai-video-disclosure-global

Voice Clone & Podcast — Audio AI for Personal Brand (Global)

This skill focuses on audio AI — voice clone, podcast, audiobook, voiceover. Pairs with 24-ai-avatar-production-global (video) — combine both for full content stack coverage.

1. Newbie Guide

What is audio AI and how is it different from video AI?

Audio AI is the tech behind synthetic voices that sound nearly human — from a sample of your voice, AI learns and produces a synthetic clone (voice clone). You write text -> AI reads it back (Text-to-Speech).

Differences vs video AI:

• Video AI (skill 24): produces video with face + voice -> talking head, social video
• Audio AI (this skill): produces voice only -> podcast, audiobook, voiceover, narration

When to use audio AI instead of video?

Main tools (international)

• ElevenLabs: Best in class for voice clone — top-tier English voices (US/UK/AU/IN), 30+ languages
• Murf: 120+ voice library, strong for corporate voiceover, multilingual
• PlayHT: API-friendly, instant clone, 800+ voices
• HeyGen Voice: Bundles with HeyGen avatars — seamless voice + video pipeline
• Descript: AI editing — cut audio by editing text, voice clone (Overdub)
• Resemble.ai: Custom emotion control, brand-grade APIs
• Riverside: Studio-quality podcast recording with AI Magic Clips repurpose

Time and cost

5 common mistakes

1. AI voice sounds robotic: sample too short or monotonic. Fix: re-record 3-5 minutes with varied emotions (happy, serious, sad).
2. Mispronounced names/jargon: TTS engines mishandle proper nouns. Fix: use phonetic spelling (e.g., "Anthropic" -> "an-THROW-pic") in the script.
3. Audio clipping: levels too hot. Fix: target -3dB peak, -16 LUFS loudness.
4. Background noise/echo: untreated room. Fix: small room with curtains and rugs, or apply NVIDIA Broadcast / Krisp / Adobe Enhance Speech.
5. Boring podcast: no editing, too many "ums". Fix: Descript auto-removes filler words, add light background music (-25dB).

2. Information collection

Ask up to 4 questions before starting:

1. Main use case? Short voiceover (TikTok/Reels) / Podcast 30-60 min / Audiobook?
2. Language(s)? English (US/UK/AU/IN) / multilingual / single non-English?
3. Total length? <60s / 5-30 min / 30-60 min / >60 min (audiobook)?
4. Budget tier? Free ($0) / Starter ($5-22) / Pro ($22-99) / Business ($99+)?

Based on the answers, pick the appropriate use case + tool stack.

3. Voice clone setup

Sample requirements

Full reference: references/voice-clone-prompts-global.md — sample scripts across English variants (US/UK/AU/SG/IN) and 3 topics (business / lifestyle / educational).

Tool comparison (global)

Recommendations:

• English-only creator: ElevenLabs Pro ($22) — best balance of quality and price
• Multilingual creator: ElevenLabs Pro (30+ languages built in)
• Combo with video: HeyGen (single platform — voice + avatar)
• Brand/agency at scale: Resemble.ai or PlayHT (API + custom emotion)

Consent form template

VOICE CLONE LICENSE AGREEMENT

I, [Full name], ID/passport: [number], grant [Brand/Company]:
1. Permission to use samples of my voice to create an AI voice clone.
2. Use of the voice clone in [scope: internal / advertising / podcast / etc.].
3. Term: from [DD/MM/YYYY] to [DD/MM/YYYY].
4. Right of withdrawal: I may request deletion of the voice clone at any time
   in writing; the brand has 7 days to fully remove it.
5. Disclosure: the brand commits to disclose "AI-generated voice" wherever
   required by applicable law (FTC, EU AI Act, etc.).

Signed: ____________   Date: ____________

4. Three use cases

Use case A: Short voiceover for TikTok/Reels (Energetic)

Spec:

• Length: 15-60s
• Pace: fast (180-220 wpm) — younger English-speaking audience
• Tone: energetic, slightly higher pitch, exciting
• Audio levels: -14 LUFS (TikTok), peak -1 dB
• CTA: clear in the last 5 seconds

Script template (30s):

[HOOK 0-3s] "Did you know [shocking stat]?"
[PROBLEM 3-10s] "Most people are still stuck in [wrong loop]"
[SOLUTION 10-22s] "I tried [method], and here are 3 things..."
[PAYOFF 22-27s] "Result: [specific number]"
[CTA 27-30s] "Comment 'YES' to get the full breakdown"

Voice settings (ElevenLabs):

• Stability: 35-45 (low — allows variation)
• Similarity: 75-85
• Style: 50-65 (boost expressiveness)
• Speaker Boost: ON

Use case B: Podcast 30-60 min (Conversational)

Structure:

• Intro (1-2 min): hook + introduce topic + welcome listeners
• Body (25-50 min): 3-5 main segments, each 5-10 min
• Ad slot (optional): 3-5 min after intro, or mid-body
• Outro (1-2 min): recap + CTA + thanks

Pacing:

• Conversational pace: 140-160 wpm
• 1-2s pause after important sentences
• Segment transitions: 2-3s pause + audio sting

Sound design:

• Background music: -25 to -30 dB (very subtle)
• Stings/transitions: -15 dB, 1-2s
• Voice levels: -16 LUFS (podcast standard), peak -1 dB

Voice settings (ElevenLabs):

• Stability: 60-75 (high — consistent across 30+ minutes)
• Similarity: 85-95
• Style: 30-40 (natural, not over-expressive)
• Speaker Boost: ON

Use case C: Audiobook (Mid-tempo)

Structure:

• Chapter intro: "Chapter [X]: [Title]" — 2s pause
• Chapter body: 10-20 min/chapter, 1s pause between paragraphs
• Chapter end: 3s pause before next chapter

Pacing:

• Mid-tempo: 150-170 wpm
• Natural breath every 2-3 sentences
• Dialogue: subtle voice shifts per character (fiction)

Consistency check (most important):

• Render Chapter 1 and Chapter 5 -> compare voice -> must match 95%+
• If voices drift: re-clone with a longer sample (5+ min)
• Pronunciation guide: build a database of proper nouns + custom phonetics

Voice settings (ElevenLabs):

• Stability: 70-85 (very high — consistent for hours)
• Similarity: 90-95
• Style: 20-30 (calm, even)
• Speaker Boost: ON

5. Tool comparison (global)

Recommended combos 2025-2026:

• English solo creator: ElevenLabs Pro ($22) + Riverside Free + Descript Hobbyist ($24)
• Multilingual creator: ElevenLabs Pro ($22) + Riverside Standard ($19) + Descript Pro ($30)
• Brand/agency: ElevenLabs Creator ($99) + Resemble.ai + Riverside Pro ($29)

6. 1-on-1 podcast with an AI co-host

Use case: solo podcaster who wants conversational format but can't find a co-host. AI co-host = a second AI voice that asks questions while you answer.

Setup — prompt-engineering the AI personality

Step 1: Define the AI co-host's personality

Name: [AI co-host name]
Personality: curious, asks deep follow-ups, occasionally light humor
Role: asks the host questions, doesn't talk too much
Speaking style: casual, natural, addresses the host by first name
Knowledge level: average — asks questions like a listener would
Catchphrases: "Wow, that's wild." / "What does that mean exactly?" / "Can you go deeper?"

Step 2: Create a separate voice clone for the AI co-host

• Use a different voice than the host (e.g., woman vs man, or different accent)
• Clone from a consenting friend, or use one of ElevenLabs' built-in voices

Step 3: Tool stack

• ElevenLabs: generate the AI co-host voice
• Riverside: record the host live
• Descript: edit + splice in the AI co-host (text-to-audio)

Q&A script template

[INTRO]
Host: Hey everyone, today [AI co-host] and I are diving into...
AI co-host: Hi all, I'm [name]. Today I want to dig into [topic] from [host]'s
            point of view. Let's go!

[BODY — 5-7 Q&A pairs]
AI co-host: [Broad opening question]
Host: [Answers 2-3 minutes]
AI co-host: [Deeper follow-up]
Host: [Answers with a concrete example]
... repeat 5-7 times ...

[OUTRO]
AI co-host: Thanks [host] for sharing. The biggest thing I learned was...
Host: Thanks [AI co-host]. If you have questions, drop them in the comments...

Tip: pre-write 7-10 AI co-host questions in a doc, record host responses in one go. Then generate AI co-host audio in ElevenLabs and splice in via Descript.

7. Repurpose pipeline 1:10 (1 podcast -> 10 short clips)

Workflow overview

[1] Record 60-min podcast (Riverside)
        v
[2] Auto-transcript (Descript / Riverside)
        v
[3] Identify hooks (10-15 quotable lines)
        v
[4] Cut 30-60s clips per quote (Opus Clip / Descript)
        v
[5] Add captions (auto-caption)
        v
[6] Distribute across 4 platforms

How to identify hooks

Find moments in the transcript with these traits:

• Bold statement: "I think 90% of founders are doing this wrong"
• Counter-intuitive: "Raising prices actually grew revenue"
• Specific number: "Went from $0 to $1M in 6 months"
• Personal story: "On my first startup I lost $200K"
• Actionable tip: "3 specific steps you can take today"

Target: 10-15 hooks per 60-min podcast. Pick the 10 best.

Tool stack

• Descript: auto-clip — select sentences, export short clips (free tier 1 hr/month)
• Opus Clip: AI auto-finds viral moments + auto-format vertical/horizontal ($19-99)
• Riverside Magic Clips: built-in to Riverside Pro ($29)
• CapCut + ChatGPT: manual but free — paste transcript, ChatGPT extracts hook candidates

Distribution across 4 platforms

Pro tip: each clip should target one platform with platform-specific captions and cover image. Maximizes reach.

8. Audio QA + Disclosure

5 QA criteria

1. Clarity (10 pts): voice clear, no rasp, no stuttering. Test: play on phone speaker, still intelligible.
2. No clipping (10 pts): peak below -1 dB. Tools: Audacity, Adobe Audition, Reaper.
3. No background noise (10 pts): no fans, traffic, neighbors. Tools: Krisp, NVIDIA Broadcast, Adobe Enhance Speech.
4. Consistent loudness (10 pts): stable -16 LUFS (podcast) or -14 LUFS (TikTok). Tool: loudness meter in DAW.
5. Natural pauses (10 pts): human-like pacing. Manual review: listen 3 times.

Pass: 40+/50. Below 40 = re-render or re-record.

Global disclosure — when required

Disclosure caption template:

This audio uses AI voice cloning technology
(ElevenLabs / Murf / [tool name]). Content was written and reviewed by [Name].

Full reference: references/ai-video-disclosure-global.md — FTC, EU AI Act, FCC, and OFCOM requirements; 3-tier disclosure framework, situational templates (also applies to audio).

9. Quality checklist

Before publishing audio:

• Voice-clone sample 3-5 min, quiet room
• Signed consent form (if cloning someone else's voice)
• Use case matches: voiceover (energetic) / podcast (conversational) / audiobook (mid-tempo)
• Voice settings appropriate for use case (Stability/Similarity/Style)
• Loudness correct: -14 LUFS (TikTok) / -16 LUFS (podcast/audiobook)
• Peak below -1 dB (no clipping)
• No background noise (Krisp/NVIDIA Broadcast pass)
• Pacing correct: 180-220 wpm (TikTok) / 140-160 wpm (podcast) / 150-170 wpm (audiobook)
• QA Score 40+/50
• Disclosure caption (if commercial use)
• Repurpose plan: 1 podcast -> 10 clips across 4 platforms

Skill 25 (Global) | v1.0.0