DeepFilterNet vs FOSSology

DeepFilterNet is a free, open-source framework for speech enhancement on full-band 48 kHz audio, using deep filtering. Its command-line tool suppresses noise in WAV files, with 48 kHz as its only supported sampling rate. A LADSPA plugin provides real-time noise suppression and can be used with PipeWire filter chains to create a virtual microphone or audio output, including for VoIP apps such as Zoom or Discord. The plugin's minimum latency is 20 ms from STFT processing, plus any delay added by the LADSPA host. The Rust command-line tool defaults to DeepFilterNet2; the Python interface documents DeepFilterNet and DeepFilterNet2. An optional post-filter may slightly over-attenuate very noisy sections. The framework supports Linux, macOS and Windows, though training is tested only under Linux. The Python package installs as deepfilternet, and an optional train extra adds data-loading functionality for Linux training. Code is available under either the MIT License or Apache License 2.0.

FOSSology is an open-source system for examining software for license, copyright, and export-control information. Upload individual files or packages, then unpack and scan them with selected agents. Nomos looks for license indicators through phrases, regular expressions, and heuristics; Monk checks text against stored license texts or phrases supplied by users. Its web interface supports review of findings, license-text management, bulk recognition, aggregated file views, and reusing reviews for files with matching hashes. It can identify copyright statements and presents keyword-based findings that users can review for possible export-control relevance. Reports include SPDX 2.0 exports, Debian copyright files, hierarchical file lists with license identifiers, and Readme files with identified license and copyright details. A REST API supports CI/CD use, uploads, and scan triggers from other applications; the command line can retrieve SPDX files. Deployment options include Docker, Vagrant with VirtualBox, or source installation. It is free, with on-premise deployment options. One stated limit: it cannot determine which libraries produced a binary; binary analysis tools are needed for that task.