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Local speech noise reduction

Reduce steady background noise in speech audio

Choose Light, Recommended, or Strong cleanup for spoken audio. The worker filters low rumble and high hiss, then reduces low-level sound between phrases without an AI model or server upload.

Your selected file stays on this device. No upload, account, or server-side media job.

Browser-local workspace

Choose a local source to begin.

Choose one local audio file—or a local video on the conversion route—then create a separate, verified MP3 or WAV result. The source is not sent to Aftermath, modified, or handed to a fallback service.

No upload, account, or server-side media job.

The local workspace loads after you choose a source.

A speech-focused processor, not a promise to remove all noise

The processor combines rumble and hiss filtering with a downward expander that lowers quiet material between phrases. It cannot separate noise that overlaps speech and is not a general music-restoration, dereverberation, or source-separation system.

Lightweight, deterministic cleanup

Cleanup uses browser-local signal processing rather than RNNoise, an AI model, or a network service. Stronger settings can change soft consonants and room tone, so compare the separate result with the source before saving it.

Private browser handling

Your source remains under your control.

Aftermath reads, decodes, processes, encodes, and verifies the selected file in this browser. It preserves the source and offers a separate MP3 or WAV result; unsupported inputs are never sent to an upload fallback.

Read the processing boundary

How to use this tool

Use this route for lightweight cleanup of steady low-level noise around spoken audio. Light, Recommended, and Strong settings combine rumble and hiss filtering with downward expansion between phrases, then apply peak protection and write a separate MP3 or 16-bit PCM WAV. The processor is deterministic and browser-local, not AI source separation; it cannot isolate noise mixed into speech, remove room reverberation, or restore damaged music.

What to choose and what you get

What to choose

  • one supported local audio source

Result

  • a measured local MP3 or WAV result

Supported use

  • One decodable local speech recording with Light, Recommended, or Strong cleanup.
  • Reduction of steady low-level rumble, hiss, and between-phrase background using local filters and a downward expander.
  • A separate MP3 or 16-bit PCM WAV with local processing and reopened-output validation.

Before you start

  • Voice isolation, stem separation, AI denoising, dereverberation, transient-noise repair, or restoration of music.
  • Guaranteed removal of sounds overlapping speech, video input, or a remote processing fallback.

Supported formats

  • Accepted formats: MP3, WAV, M4A, AAC, Ogg, Opus, FLAC.
  • Output formats: MP3, WAV.

Browser support and permissions

  • Modern browser with JavaScript and support for the selected audio container and codec; memory and performance vary by device.
  • No camera, microphone, or screen permission is needed.

Choose the right settings

  • Use this route for steady low-level noise around speech, starting with Recommended or Light when detail is fragile.
  • Use /remove-silence when the problem is long pause duration rather than background texture.
  • Use /increase-audio-volume or /normalize-audio for level changes, or /audio-tools when the desired outcome is unclear.
  • Compare the full reopened result with the source because stronger cleanup can affect speech detail.

Worked example

A voice note has steady low rumble and hiss, so a lightweight local speech cleanup is tried before specialist editing.

Starting facts

  • The noise is relatively steady and low-level.
  • Speech and noise overlap, so perfect separation is impossible.

Observed operation: Apply local filtering and downward expansion, encode a separate MP3 or WAV and reopen the measured result.

Review the result: Listen for speech damage, pumping, remaining noise and changed ambience before deciding whether to keep it.

Boundary: The route is not source separation, forensic enhancement or a guarantee that all noise can be removed safely.

What you can do

Reduce steady low-level rumble and hiss around speech with local filtering and downward expansion

Choose another tool when

  • This route is lightweight speech cleanup, not AI source separation, voice isolation, dereverberation, or music restoration.
  • It cannot remove noise that overlaps speech or recreate detail already masked in the source.
  • Silence shortening belongs to /remove-silence, while level changes belong to the volume and normalization routes.

If it does not work

  • A missing or undecodable primary audio track cannot enter the speech-cleanup processor.
  • Strong processing can alter soft consonants or room tone because it cannot identify semantic speech content.
  • Unsupported local encoding or a result that fails reopening and audio-track validation is not offered for download.

Things to know

  • Review the result on the intended device before relying on it.

Privacy boundary

The selected audio stays in the current browser session and is not sent to an Aftermath processing service. How local processing is verified.

What this tool verifies

Checks the displayed limits and reports or creates a measured local MP3 or WAV result from one supported local audio source.

Check before sharing

This route is lightweight speech cleanup, not AI source separation, voice isolation, dereverberation, or music restoration.

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