from equency_response import FrequencyResponse from nstants import PEQ_CONFIGS harman_target = FrequencyResponse. ParametricĮqualizer optimization and frequency response computations are implemented in peq. The main functionalities of AutoEq are in frequency_response which implements FrequencyResponse class. Sound_signature =None, max_gain = 12, thread_count = 0 ) Ten_band_eq =True, parametric_eq_config = '8_PEAKING_WITH_SHELVES', fixed_band_eq_config = '10_BAND_GRAPHIC_EQ',Ĭonvolution_eq =True, fs = 44100, bit_depth = 16, phase = 'minimum', f_res = 10, bass_boost_gain = 6,īass_boost_fc = 105, bass_boost_q = 0.7, treble_boost_gain = 0, treble_boost_fc = 10000, treble_boost_q = 0.7, tilt =None, The full functionality with file input and output can be used with batch_processing: from autoeq.batch_processing import batch_processingīatch_processing ( input_dir = 'path/to/measurements', output_dir = 'path/to/results', new_only =False, standardize_input =False,Ĭompensation = 'path/to/compensation.csv', parametric_eq =True, fixed_band_eq =True, rockbox =False, See python -m autoeq -help for arguments. Microsoft Visual C++ Redistributable for Visual Studio 2015, 2017, and 2019 UsageĪutoEq has command line interface in addition to Python methods. System, run 10x faster, has limits for Fc, Q and gain value ranges and treats +10 kHz range as average value instead ofĪutoEq requires Python 3 and should work with any decently recent version of Python 3. The new optimizer supports shelf filters, has a powerful configuration Source code moved under autoeq directory andĬommand line usage changed from python autoeq.py to python -m autoeq with underscores _ replaced with hyphens. Restructured the project and published in PyPi.
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