This de-esser uses a novel approach called Temporal Sibilance Processing. The idea is to distinguish between fricatives and voiced sections of the speech signal by the number of zero crossings in time. Most of the speech file is left untouched (the samples are directly copied from source to destination). Only fricatives that are long enough and loud enough are filtered. The advantage of this approach over traditional approaches is that the clarity of the remaining speech is completely unaffected.

Features

  • Reduce sibilance in speech without affecting the quality of the rest of the audio.
  • Sibilance can be classified according to harshness (RMS amplitude) and duration and custom filters can be applied to each class.

Project Samples

Project Activity

See All Activity >

License

GNU General Public License version 3.0 (GPLv3)

Follow de-ess

de-ess Web Site

Other Useful Business Software
Custom VMs From 1 to 96 vCPUs With 99.95% Uptime Icon
Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.

Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
Try Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of de-ess!

Additional Project Details

Operating Systems

BSD, Linux

User Interface

Command-line

Programming Language

C

Related Categories

C Audio Conversion Software, C Audio Editing Software, C Speech Software

Registered

2013-08-29