spectrumfor

SpectrumFor is an open-source software framework for spectral analysis and visualization of time-domain signals. It provides a modular toolkit for computing spectra, spectrograms, and spectral features from audio, biomedical signals, and environmental data.

Developed as an open-source project in the early 2020s by a community of researchers and developers, SpectrumFor emphasizes accessibility and extensibility. It is designed to run on major operating systems and integrate with common data science workflows.

Its architecture centers on modular components: spectrum estimators, time-frequency transforms (FFT, STFT, and continuous transforms), feature extractors (spectral centroid, bandwidth, roll-off, spectral flux, and MFCCs), and visualization tools. It supports batch processing and real-time streaming, with interfaces in Python and C++. It accepts common audio and data formats and exports results in JSON, CSV, and HDF5.

Applications include music information retrieval, speech analysis, environmental sound monitoring, and telecommunication signal quality assessment. It is used in academic research, education, and hobbyist projects.

Its results depend on signal quality and parameter choices; users must select appropriate window sizes and transforms for their domain. The project emphasizes open collaboration and reproducible workflows, with documentation and tutorials provided by the community.