Mix Roastby M Street Music

Get Feedback on Your Podcast / Voiceover Mix

Podcast and Voiceover mixing is entirely about the spoken word — every processing decision must serve vocal intelligibility, listener comfort, and broadcast compliance. Unlike music, there is no beat or melody to distract from problems; any background noise, sibilance, room echo, or level inconsistency is immediately noticeable and distracting. Whether you are producing a solo podcast, multi-host interview, or commercial voiceover, the technical standard for professional spoken word is unforgiving.

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Common Podcast / Voiceover Mixing Problems

Room Echo and Reflections Reduce Clarity

Untreated recording rooms produce early reflections and flutter echo that make the voice sound distant and unprofessional. Unlike music, where reverb can add atmosphere, room sound in spoken word always degrades quality and reduces intelligibility.

Background Noise Floor Is Audible During Pauses

Air conditioning hum, computer fan noise, traffic rumble, and electrical buzz all become painfully obvious during natural speech pauses. A noise floor above -60 dBFS is audible on headphones and immediately signals amateur production quality.

Volume Inconsistency Between Speakers or Sections

In multi-host podcasts, different microphones, recording setups, and vocal levels create drastic volume differences between speakers. Listeners constantly adjusting their volume knob will not stay engaged, and this is the number one reason people abandon podcasts.

Sibilance and Plosives Are Not Controlled

Harsh "S" sounds and "P/B" plosives that might be masked in a music mix are front and center in spoken word. They cause listener discomfort, trigger headphone and earbud distortion, and sound unprofessional — especially on earbuds, where most podcasts are consumed.

Audio Does Not Meet Platform Loudness Standards

Spotify requires -16 LUFS for podcasts, Apple Podcasts targets -16 to -18 LUFS, and broadcast voiceover has its own specs (often -24 LUFS). Submitting audio that does not meet these standards results in the platform applying its own processing, which often sounds worse than if you had mastered to spec.

What You'll Learn About Your Mix

  • Whether your room sound is clean enough for professional podcast and voiceover standards
  • If your background noise floor is below the -60 dBFS threshold for professional spoken word
  • How consistent your volume levels are across different speakers and sections
  • Whether sibilance and plosives are controlled or causing listener discomfort
  • If your audio meets loudness standards for Spotify, Apple Podcasts, and broadcast
  • How your overall voice clarity compares to top-rated podcasts in your niche

Choose Your Level of Feedback

Free Roast

Quick check on your noise floor, room echo presence, and whether your loudness targets meet podcast platform specs.

Pro Report — €19.99

Complete spoken word analysis including room acoustics evaluation, noise floor measurement, multi-speaker level consistency scoring, sibilance and plosive detection, platform-specific loudness compliance check, and voice clarity scoring — all against broadcast-ready standards.

Mix Fix — €99.99

A spoken word specialist will clean up your room sound, reduce noise, balance multi-host levels, control sibilance and plosives, and master your audio to platform specifications — delivering podcast-ready files that sound professional on every device.

Frequently Asked Questions

Yes. Our analysis measures your integrated loudness (LUFS), true peak levels, and loudness range — the exact specifications that Spotify (-16 LUFS, -1 dBTP) and Apple Podcasts (-16 to -18 LUFS) require. We flag any compliance issues that would cause the platform to apply its own normalization.

It can be, with proper treatment and post-processing. Our analysis evaluates your room echo, background noise, and overall recording quality to determine exactly what is preventing your audio from sounding professional. Many successful podcasts are recorded in bedrooms with basic acoustic treatment.

Multi-host level matching requires a combination of individual track compression, makeup gain adjustment, and potentially a leveling plugin across the final mix. Our Pro Report measures the loudness difference between speakers and recommends specific compression settings to bring them into balance without making either voice sound over-processed.

Noise reduction can help, but over-processing creates a distinctive "underwater" or "watery" artifact that sounds worse than the original noise. Light noise reduction combined with a noise gate during pauses is usually the best approach. Our analysis detects both noise issues and noise reduction artifacts so you know if you have gone too far.

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