Spaces:
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adding rust and the .ini file
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.gitattributes
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*.ckpt* filter=lfs diff=lfs merge=lfs -text
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*.pl filter=lfs diff=lfs merge=lfs -text
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*.so filter=lfs diff=lfs merge=lfs -text
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*.ckpt* filter=lfs diff=lfs merge=lfs -text
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*.pl filter=lfs diff=lfs merge=lfs -text
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*.so filter=lfs diff=lfs merge=lfs -text
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*.ini filter=lfs diff=lfs merge=lfs -text
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.gitignore
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ENV/
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env.bak/
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venv.bak/
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*.ini
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# Spyder project settings
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.spyderproject
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ENV/
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env.bak/
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venv.bak/
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# *.ini
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# Spyder project settings
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.spyderproject
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model_weights/libdf/__init__.py
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from .libdf import *
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__doc__ = libdf.__doc__
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model_weights/libdf/__init__.pyi
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from typing import List, Optional, Union
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from numpy import ndarray
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class DF:
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def __init__(
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self,
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sr: int,
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fft_size: int,
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hop_size: int,
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nb_bands: int,
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min_nb_erb_freqs: Optional[int] = 1,
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):
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"""DeepFilter state used for analysis and synthesis.
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Args:
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sr (int): Sampling rate.
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fft_size (int): Window length used for the Fast Fourier transform.
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hop_size (int): Hop size between two analysis windows. Also called frame size.
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nb_bands (int): Number of ERB bands.
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min_nb_erb_freqs (int): Minimum number of frequency bands per ERB band. Defaults to 1.
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"""
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...
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def analysis(self, input: ndarray) -> ndarray:
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"""Analysis of a time-domain signal.
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Args:
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input (ndarray): 2D real-valued array of shape [C, T].
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Output:
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output (ndarray): 3D complex-valued array of shape [C, T', F], where F is the `fft_size`,
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and T' the original time T divided by `hop_size`.
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"""
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...
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def synthesis(self, input: ndarray) -> ndarray:
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"""Synthesis of a frequency-domain signal.
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Args:
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input (ndarray): 3D complex-valued array of shape [C, T, F].
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Output:
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output (ndarray): 2D real-valued array of shape [C, T].
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"""
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...
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def erb_widths(self) -> ndarray: ...
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def fft_window(self) -> ndarray: ...
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def sr(self) -> int: ...
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def fft_size(self) -> int: ...
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def hop_size(self) -> int: ...
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def nb_erb(self) -> int: ...
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def reset(self) -> None: ...
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def erb(
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input: ndarray, erb_fb: Union[ndarray, List[int]], db: Optional[bool] = None
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) -> ndarray: ...
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def erb_inv(input: ndarray, erb_fb: Union[ndarray, List[int]]) -> ndarray: ...
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def erb_norm(erb: ndarray, alpha: float, state: Optional[ndarray] = None) -> ndarray: ...
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def unit_norm(spec: ndarray, alpha: float, state: Optional[ndarray] = None) -> ndarray: ...
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def unit_norm_init(num_freq_bins: int) -> ndarray: ...
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model_weights/libdf/py.typed
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model_weights/{libdf/libdf.cpython-311-x86_64-linux-gnu.so β voice_enhance/config.ini}
RENAMED
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:7593bc752512a37379ab5d3273ecfbefa2ac42fbc2be5061ac381a3a6afe4ed5
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size 1823
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packages.txt
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ffmpeg
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ffmpeg
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rustc
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