Normalization and noise reduction
A quieter background and consistent speech levels solve different recording problems. Compare the same excerpt at similar loudness before choosing an enhanced file.
Worked example
Measured local noisy-speech fixture, October 4, 2026: source 370,480 bytes became a 1,111,284-byte mono PCM WAV at 48 kHz. Duration remains 11.575 seconds; uncompressed export is larger. Before/After comparison loudness measures −15.95/−15.99 LUFS. Those matching levels support fair listening; they do not score quality.
Start with the noisy speech fixture
Download the owned noisy-speech WAV below, upload it to Audio enhancer, and keep the original. Audio or video with a genuine audio track can be processed. The local media limit is 100 MB and five minutes. Outputs are mono WAV or MP3 at 48 kHz.
Choose the operation you need
Noise reduction applies an FFT denoiser to steady background noise; choose a lower intensity first. Normalization aims for −16 LUFS with a −1.5 dB true-peak ceiling. Combined processing includes denoising, a 70 Hz high-pass filter and normalization. Noise intensity spans 0–30 in the interface; the chain is shown with the result.
Compare without a loudness trick
Process the fixture, then listen to the two full-duration comparison files labelled Before and After. Both are normalized toward the same −16 LUFS target. Inspect the measured loudness and duration rather than assuming they match perfectly. The Enhanced recording is the selected processing output, separate from the comparison versions.
Listen for damage as well as improvement
Listen to consonants, quiet syllables and the gaps between words. More denoising can leave metallic artifacts or a thin voice. If those appear, lower intensity and process again. Noise removal cannot guarantee recovery of clipping, missing words or overlapping speakers.
Save a useful result
Download WAV for an uncompressed working copy or MP3 for a smaller sharing copy. The site does not promise lossless enhancement, a clarity score or universal studio sound. Decide by listening and keep the source for future edits. Use actual speech recognition separately when you need a transcript.
Try the original files
- Download and upload noisy-speech.wav.
- Choose combined processing at a gentle intensity and WAV output.
- Compare the matched Before/After downloads and listen to the Enhanced recording.
- Lower intensity if voice artifacts outweigh the cleanup.