Redesign project into modular py_audio package#1
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Create a clean, modular Python package replacing the monolithic Audio.py: - py_audio/io.py: WAV read/write with float64 conversion and int16 normalization - py_audio/effects.py: reverse, speed change (resample), volume (dB gain) - py_audio/analysis.py: single-sided FFT and full spectrum analysis - py_audio/filters.py: Butterworth bandpass filter using SOS for stability - py_audio/__init__.py: clean public API exporting all functions Features: - Type hints on all function signatures - Comprehensive docstrings - Edge case handling (empty arrays, zero data, invalid parameters) - Mono and stereo support throughout - Built on numpy and scipy only (no pandas/matplotlib in core)
…, and filters Co-authored-by: AwaleSagar <33474772+AwaleSagar@users.noreply.github.com>
Co-authored-by: AwaleSagar <33474772+AwaleSagar@users.noreply.github.com>
Co-authored-by: AwaleSagar <33474772+AwaleSagar@users.noreply.github.com>
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[WIP] Redesign project and complete with simplified code
Redesign project into modular py_audio package
Mar 3, 2026
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Replaces the monolithic
Audio.pywith a proper Python package and implements the two features listed as TODOs in the README (spectrum analyzer, bandpass filter).Package structure
py_audio/io.py—read_audio(),write_audio()with float64 conversion and int16 normalizationpy_audio/effects.py—reverse_audio(),change_speed()(resample),change_volume()(dB gain)py_audio/analysis.py—compute_fft()(single-sided magnitude spectrum),spectrum_analysis()(full file analysis with peak frequency detection)py_audio/filters.py—bandpass_filter()using Butterworth SOS for numerical stabilitypy_audio/__init__.py— public API re-exportsOther changes
requirements.txtwith minimum versions (scipy>=1.8.0to address use-after-free CVE)example.pyas a runnable demoREADME.mdwith usage, API table, and project structureUsage
All functions support both mono (1-D) and stereo (2-D) arrays. Core package depends only on numpy and scipy.
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