Audio pitch-shifting & re-sampling utility, based on the EMU SP-1200

Overview

Pitcher.py

Installation

1. Use git to clone this repo, or download it as a ZIP using the "Clone or download" button & unzip
2. Open your terminal of choice
3. cd to the new pitcher directory
4. pip install -r ./requirements.txt

Usage:

python pitcher.py --input-file ./input.wav --st -4 --output-file ./output.wav

You can now also run a simple gui version using the command:

python pitcher_gui.py

For Mac Users:

python pitcher_gui_mac.py

The releases page also has binary files for the GUI (.exe and .app).

Options:

--st                 - # semitones to shift pitch by,                   int,    required
--input-file         - path to input file,                              string, required
--output-file        - path to output file,                             string, required
--quantize-bits      - bit rate of quantized output,                    int,    default 12
--time-shift         - custom time shift ratio to apply,                float,  default 0
--skip-quantize      - skip simulation of ADC quantize,                 flag
--skip-normalize     - skip output normalization,                       flag
--skip-input-filter  - skip input anti aliasing filter,                 flag
--skip-output-filter - skip all output filtering (default and moog),    flag
--skip-time-shift    - skip time shift inherent to pitching algorithm,  flag
--moog-filter        - enable Moog LP output filter, emulates SSM2044,  flag

If you find this project useful, please consider donating to the NAACP Legal Defense Fund or BLM - TO

TODO:

  • enable console window on mac gui too (already defaults to shown in windows gui)
  • enable moog filter for gui versions
  • combine pitcher_gui.py and pitcher_gui_mac.py
  • combine pitcher and pitcher_gui.py
  • add all options to GUI
  • dedicated 33rpm -> 45rpm pre-processing option, add to GUI
  • only use ffmpeg/libav when necessary
  • optionally preserve stereo channels throughout processing
  • replace librosa if there is a module with better performance, maybe essentia?
  • perfect high end input anti aliasing filter fit, likely not very important
Comments
  • Bump numpy from 1.21.6 to 1.22.0

    Bump numpy from 1.21.6 to 1.22.0

    Bumps numpy from 1.21.6 to 1.22.0.

    Release notes

    Sourced from numpy's releases.

    v1.22.0

    NumPy 1.22.0 Release Notes

    NumPy 1.22.0 is a big release featuring the work of 153 contributors spread over 609 pull requests. There have been many improvements, highlights are:

    • Annotations of the main namespace are essentially complete. Upstream is a moving target, so there will likely be further improvements, but the major work is done. This is probably the most user visible enhancement in this release.
    • A preliminary version of the proposed Array-API is provided. This is a step in creating a standard collection of functions that can be used across application such as CuPy and JAX.
    • NumPy now has a DLPack backend. DLPack provides a common interchange format for array (tensor) data.
    • New methods for quantile, percentile, and related functions. The new methods provide a complete set of the methods commonly found in the literature.
    • A new configurable allocator for use by downstream projects.

    These are in addition to the ongoing work to provide SIMD support for commonly used functions, improvements to F2PY, and better documentation.

    The Python versions supported in this release are 3.8-3.10, Python 3.7 has been dropped. Note that 32 bit wheels are only provided for Python 3.8 and 3.9 on Windows, all other wheels are 64 bits on account of Ubuntu, Fedora, and other Linux distributions dropping 32 bit support. All 64 bit wheels are also linked with 64 bit integer OpenBLAS, which should fix the occasional problems encountered by folks using truly huge arrays.

    Expired deprecations

    Deprecated numeric style dtype strings have been removed

    Using the strings "Bytes0", "Datetime64", "Str0", "Uint32", and "Uint64" as a dtype will now raise a TypeError.

    (gh-19539)

    Expired deprecations for loads, ndfromtxt, and mafromtxt in npyio

    numpy.loads was deprecated in v1.15, with the recommendation that users use pickle.loads instead. ndfromtxt and mafromtxt were both deprecated in v1.17 - users should use numpy.genfromtxt instead with the appropriate value for the usemask parameter.

    (gh-19615)

    ... (truncated)

    Commits

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    dependencies 
    opened by dependabot[bot] 2
  • redo GUI layout, add options

    redo GUI layout, add options

    • added all gui options except moog cutoff
      • confusing since LP can't use filter cutoff, LP2 could if passed through
      • haven't tested the moog filter much yet, want to measure freq response like slide 7 at some point
    • reorganized gui
    • replaced askopenfile w/ asksaveasfilename on output filedialog
    opened by mwcm 0
  • Working preserve stereo

    Working preserve stereo

    • processing channels independently for now to preserve stereo input files
    • removed audiofile in favor of it's dependency soundfile
    • added force_mono option if stereo output undesired, could add option to go mono -> stereo at some point, not a priority I think
    • reorganized a bit around ability to process channels independently
    opened by mwcm 0
  • Bump joblib from 0.15.1 to 1.2.0

    Bump joblib from 0.15.1 to 1.2.0

    Bumps joblib from 0.15.1 to 1.2.0.

    Changelog

    Sourced from joblib's changelog.

    Release 1.2.0

    • Fix a security issue where eval(pre_dispatch) could potentially run arbitrary code. Now only basic numerics are supported. joblib/joblib#1327

    • Make sure that joblib works even when multiprocessing is not available, for instance with Pyodide joblib/joblib#1256

    • Avoid unnecessary warnings when workers and main process delete the temporary memmap folder contents concurrently. joblib/joblib#1263

    • Fix memory alignment bug for pickles containing numpy arrays. This is especially important when loading the pickle with mmap_mode != None as the resulting numpy.memmap object would not be able to correct the misalignment without performing a memory copy. This bug would cause invalid computation and segmentation faults with native code that would directly access the underlying data buffer of a numpy array, for instance C/C++/Cython code compiled with older GCC versions or some old OpenBLAS written in platform specific assembly. joblib/joblib#1254

    • Vendor cloudpickle 2.2.0 which adds support for PyPy 3.8+.

    • Vendor loky 3.3.0 which fixes several bugs including:

      • robustly forcibly terminating worker processes in case of a crash (joblib/joblib#1269);

      • avoiding leaking worker processes in case of nested loky parallel calls;

      • reliability spawn the correct number of reusable workers.

    Release 1.1.0

    • Fix byte order inconsistency issue during deserialization using joblib.load in cross-endian environment: the numpy arrays are now always loaded to use the system byte order, independently of the byte order of the system that serialized the pickle. joblib/joblib#1181

    • Fix joblib.Memory bug with the ignore parameter when the cached function is a decorated function.

    ... (truncated)

    Commits
    • 5991350 Release 1.2.0
    • 3fa2188 MAINT cleanup numpy warnings related to np.matrix in tests (#1340)
    • cea26ff CI test the future loky-3.3.0 branch (#1338)
    • 8aca6f4 MAINT: remove pytest.warns(None) warnings in pytest 7 (#1264)
    • 067ed4f XFAIL test_child_raises_parent_exits_cleanly with multiprocessing (#1339)
    • ac4ebd5 MAINT add back pytest warnings plugin (#1337)
    • a23427d Test child raises parent exits cleanly more reliable on macos (#1335)
    • ac09691 [MAINT] various test updates (#1334)
    • 4a314b1 Vendor loky 3.2.0 (#1333)
    • bdf47e9 Make test_parallel_with_interactively_defined_functions_default_backend timeo...
    • Additional commits viewable in compare view

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    dependencies 
    opened by dependabot[bot] 0
  • Bump numpy from 1.18.5 to 1.22.0

    Bump numpy from 1.18.5 to 1.22.0

    Bumps numpy from 1.18.5 to 1.22.0.

    Release notes

    Sourced from numpy's releases.

    v1.22.0

    NumPy 1.22.0 Release Notes

    NumPy 1.22.0 is a big release featuring the work of 153 contributors spread over 609 pull requests. There have been many improvements, highlights are:

    • Annotations of the main namespace are essentially complete. Upstream is a moving target, so there will likely be further improvements, but the major work is done. This is probably the most user visible enhancement in this release.
    • A preliminary version of the proposed Array-API is provided. This is a step in creating a standard collection of functions that can be used across application such as CuPy and JAX.
    • NumPy now has a DLPack backend. DLPack provides a common interchange format for array (tensor) data.
    • New methods for quantile, percentile, and related functions. The new methods provide a complete set of the methods commonly found in the literature.
    • A new configurable allocator for use by downstream projects.

    These are in addition to the ongoing work to provide SIMD support for commonly used functions, improvements to F2PY, and better documentation.

    The Python versions supported in this release are 3.8-3.10, Python 3.7 has been dropped. Note that 32 bit wheels are only provided for Python 3.8 and 3.9 on Windows, all other wheels are 64 bits on account of Ubuntu, Fedora, and other Linux distributions dropping 32 bit support. All 64 bit wheels are also linked with 64 bit integer OpenBLAS, which should fix the occasional problems encountered by folks using truly huge arrays.

    Expired deprecations

    Deprecated numeric style dtype strings have been removed

    Using the strings "Bytes0", "Datetime64", "Str0", "Uint32", and "Uint64" as a dtype will now raise a TypeError.

    (gh-19539)

    Expired deprecations for loads, ndfromtxt, and mafromtxt in npyio

    numpy.loads was deprecated in v1.15, with the recommendation that users use pickle.loads instead. ndfromtxt and mafromtxt were both deprecated in v1.17 - users should use numpy.genfromtxt instead with the appropriate value for the usemask parameter.

    (gh-19615)

    ... (truncated)

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    dependencies 
    opened by dependabot[bot] 0
Releases(0.5.2)
  • 0.5.2(Nov 15, 2022)

    0.5.2 is the same as 0.5.0, with the addition of an option to disable quantize in the GUI and a fix for the output filter GUI option

    pitcher_gui.exe for windows pitcher_gui is a unix executable built on mac pitcher.zip is a zipped .app for mac

    I used the below command to build this 0.5.2 release on python 3.10.7 and pyinstaller 5.6.2

    Replace {USER} with your username

    Windows

    python -m PyInstaller  --noconfirm --onefile --add-data "C:\Users\{USER}\Documents\Github\pitcher\env\lib\site-packages\librosa\util\example_data\*;librosa/util/example_data" pitcher_gui.py
    

    Mac

    python -m PyInstaller  --noconfirm --onefile --add-data "/Users/{USER}/projects/pitcher/env/lib/site-packages/librosa/util/example_data/*:librosa/util/example_data" pitcher_gui.py
    
    Source code(tar.gz)
    Source code(zip)
    pitcher_gui(90.60 MB)
    pitcher_gui.exe(88.53 MB)
    pitcher_gui.zip(89.81 MB)
  • 0.5.0(Nov 15, 2022)

    pitcher_gui.exe for windows pitcher_gui is a unix executable built on mac pitcher.zip is a zipped .app for mac

    Used the below command to build this 0.5.0 release on python 3.10.7 and pyinstaller 5.6.2

    Replace {USER} with your username

    Windows

    python -m PyInstaller  --noconfirm --onefile --add-data "C:\Users\{USER}\Documents\Github\pitcher\env\lib\site-packages\librosa\util\example_data\*;librosa/util/example_data" pitcher_gui.py
    

    Mac

    python -m PyInstaller  --noconfirm --onefile --add-data "/Users/{USER}/projects/pitcher/env/lib/site-packages/librosa/util/example_data/*:librosa/util/example_data" pitcher_gui.py
    
    Source code(tar.gz)
    Source code(zip)
    pitcher_gui(90.59 MB)
    pitcher_gui.exe(88.53 MB)
    pitcher_gui.zip(89.81 MB)
  • 0.0.1(Aug 12, 2021)

    Spent ~1hr just now on an initial GUI for pitcher - features include:

    • in/out file locations
    • pitch slider

    The script be ran straight from commandline with:

    python pitcher_gui.py

    I also generated an exe with pyinstaller, using the command:

    pyinstaller --onefile pitcher_gui.py

    You can make your own, or use the exe attached below.

    You'll need to run the below before running the unix executable:

    chmod +x pitcher_gui

    Also updated a .app for mac users, it was generated with pyinstaller. It's in the attached zip file. Had to hardcode a fallback link to my ffmpeg installation at /usr/local/bin/ffmpeg, hoping to fix this soon.

    I think the packagaes are likely WAY larger than they need to be right now (>60mb), could look into which of the imports pyinstaller is packaging. Full library imports at the top (np, sp, af, tk) are likely to blame. Will optimize later.

    Source code(tar.gz)
    Source code(zip)
    pitcher_gui.exe(109.93 MB)
    pitcher_gui_mac.zip(54.24 MB)
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