Marcus Bornold

Dialogue Editing & Restoration

Marcus Bornold on SoundBetter

Dialogue is my specialty: podcasts, voice-over, audiobooks, interviews and video. 20 years of live broadcast audio plus my own AI noise-reduction tools built for spoken word. Clean dialogue, level-matched voices and loudness-compliant masters that survive a phone speaker. Bad Zoom audio, laptop mics, echoey rooms: send them.

Dialogue clean-up, editing and mastering for podcasts, voice-over, audiobooks and video – remote, fast, measured.

I mixed and delivered live television and streamed productions for over a decade (Kanal 10 Sverige 2011–2022, in-house broadcast engineer; Inderes 2024–present, live financial-results broadcasts). Your episode gets treated like a broadcast: consistent loudness, clean dialogue, no surprises on the listener's phone.

What you get:
• Dialogue clean-up: noise, room tone, hum, plosives, sibilance, mouth clicks
• Level-matched voices across hosts and remote guests
• Loudness-compliant masters (-16 LUFS stereo / -19 mono, -14 for Spotify/YouTube, or your spec), true-peak safe
• Music and intro balancing, ad-spot ducking, WAV + MP3 exports

Tools: iZotope RX, Reaper, Pro Tools, and my own machine-learning noise-reduction pipeline (DeepFilterNet-based), trained specifically on spoken-word recordings. I also build audio software for a living, so if you need a repeatable workflow for a weekly show, ask.

Turnaround: 2–3 business days for a 60-minute episode, 24-hour rush available. Two revision rounds included.

What I need from you: raw files (WAV preferred, separate tracks if you have them), a reference episode whose sound you like, and your target platform.

Tell me about your project and how I can help, through the 'Contact' button above.

Terms Of Service

Delivery in 2–3 business days for episodes up to 60 min (24 h rush +50%). Two revision rounds included. 48 kHz/24-bit WAV + MP3 320. Multitrack or single-track accepted.

Gear Highlights
  • Amphion one18 monitors and HiFiMAN Ananda Unveiled
  • FabFilter
  • iZotope RX
  • Pro Tools
  • custom DeepFilterNet noise-reduction model
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