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.

Contact me through the green button above and let's get to work.

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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