poetry installMake sure ffmpeg is available
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June 19, 2023 07:32
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Find sections where the bass is low in an audio file
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| #!/bin/env python | |
| from argparse import ArgumentParser | |
| from copy import deepcopy | |
| from dataclasses import dataclass | |
| from datetime import timedelta | |
| from pathlib import Path | |
| from subprocess import run | |
| import librosa | |
| import numpy as np | |
| SEGMENT_DURATION = 1 | |
| # Bass volume threshold (in dB). Louder than that? Bye! | |
| BASS_THRESHOLD = -9 | |
| @dataclass | |
| class Range: | |
| beginning: int | |
| end: int | |
| def duration(self): | |
| return self.end - self.beginning | |
| @dataclass | |
| class CliArgs: | |
| audio_file: Path | |
| samples_outdir: Path | |
| @staticmethod | |
| def make() -> "CliArgs": | |
| parser = ArgumentParser() | |
| parser.add_argument("audio_file", type=Path) | |
| parser.add_argument("samples_outdir", type=Path) | |
| args = parser.parse_args() | |
| return CliArgs( | |
| audio_file=args.audio_file, | |
| samples_outdir=args.samples_outdir, | |
| ) | |
| def consolidate_into_segments(seconds_segments: list[Range]): | |
| segments: list[Range] = [deepcopy(seconds_segments[0])] | |
| prev = segments[0] | |
| for r in seconds_segments[1:]: | |
| if r.beginning > prev.end + 1: | |
| segments.append(r) | |
| else: | |
| segments[-1].end = r.end | |
| prev = r | |
| return segments | |
| def analyze_bass_volume(audio_path: Path, bass_threshold, bass_freq_range): | |
| audio, sample_rate = librosa.load(str(audio_path.expanduser().absolute())) | |
| # Calculate the number of samples per segment | |
| samples_per_segment = int(SEGMENT_DURATION * sample_rate) | |
| # Compute the STFT of the audio | |
| stft = librosa.stft(audio, hop_length=samples_per_segment, center=False) | |
| # Convert the magnitude spectrogram to dB scale | |
| stft_db = librosa.amplitude_to_db(np.abs(stft)) | |
| # Calculate the frequency bin indices corresponding to the bass frequency range | |
| freq_bins = librosa.fft_frequencies(sr=sample_rate, n_fft=stft.shape[0]) | |
| bass_freq_indices = np.where( | |
| np.logical_and(freq_bins >= bass_freq_range[0], freq_bins <= bass_freq_range[1]) | |
| )[0] | |
| # Compute the average dB value for each segment in the bass frequency range | |
| avg_db_per_segment = np.mean(stft_db[bass_freq_indices, :], axis=0) | |
| low_bass_sections = [] | |
| # Analyze each segment | |
| for i, avg_db in enumerate(avg_db_per_segment): | |
| start_time = i * SEGMENT_DURATION | |
| end_time = (i + 1) * SEGMENT_DURATION | |
| if avg_db < bass_threshold: | |
| low_bass_sections.append((start_time, end_time)) | |
| return low_bass_sections | |
| def main(): | |
| args = CliArgs.make() | |
| # Analyze the audio for sections with low bass volume | |
| low_bass_sections = analyze_bass_volume(args.audio_file, BASS_THRESHOLD, (20, 800)) | |
| outdir = args.samples_outdir / args.audio_file.stem | |
| outdir.mkdir(exist_ok=True) | |
| print(low_bass_sections) | |
| # Print the identified sections | |
| for section in consolidate_into_segments([Range(*s) for s in low_bass_sections]): | |
| beg = timedelta(seconds=section.beginning) | |
| end = timedelta(seconds=section.end) | |
| print(f"Low Bass Section: {beg} - {end}") | |
| outfile = outdir / f"{beg}_{end}.flac" | |
| run( | |
| [ | |
| "ffmpeg", | |
| "-i", | |
| args.audio_file, | |
| "-ss", | |
| str(section.beginning), | |
| "-t", | |
| str(section.duration()), | |
| str(outfile), | |
| ], | |
| capture_output=True, | |
| ) | |
| if __name__ == "__main__": | |
| main() |
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| # This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand. | |
| [[package]] | |
| name = "appdirs" | |
| version = "1.4.4" | |
| description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"." | |
| optional = false | |
| python-versions = "*" | |
| files = [ | |
| {file = "appdirs-1.4.4-py2.py3-none-any.whl", hash = "sha256:a841dacd6b99318a741b166adb07e19ee71a274450e68237b4650ca1055ab128"}, | |
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| ] | |
| [[package]] | |
| name = "audioread" | |
| version = "3.0.0" | |
| description = "multi-library, cross-platform audio decoding" | |
| optional = false | |
| python-versions = ">=3.6" | |
| files = [ | |
| {file = "audioread-3.0.0.tar.gz", hash = "sha256:121995bd207eb1fda3d566beb851d3534275925bc35a4fb6da0cb11de0f7251a"}, | |
| ] | |
| [[package]] | |
| name = "certifi" | |
| version = "2023.5.7" | |
| description = "Python package for providing Mozilla's CA Bundle." | |
| optional = false | |
| python-versions = ">=3.6" | |
| files = [ | |
| {file = "certifi-2023.5.7-py3-none-any.whl", hash = "sha256:c6c2e98f5c7869efca1f8916fed228dd91539f9f1b444c314c06eef02980c716"}, | |
| {file = "certifi-2023.5.7.tar.gz", hash = "sha256:0f0d56dc5a6ad56fd4ba36484d6cc34451e1c6548c61daad8c320169f91eddc7"}, | |
| ] | |
| [[package]] | |
| name = "cffi" | |
| version = "1.15.1" | |
| description = "Foreign Function Interface for Python calling C code." | |
| optional = false | |
| python-versions = "*" | |
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| ] | |
| [package.dependencies] | |
| pycparser = "*" | |
| [[package]] | |
| name = "charset-normalizer" | |
| version = "3.1.0" | |
| description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." | |
| optional = false | |
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| [package.dependencies] | |
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| docs = ["linkify-it-py", "myst-parser", "sphinx", "sphinx-book-theme"] | |
| test = ["pytest"] | |
| [[package]] | |
| name = "threadpoolctl" | |
| version = "3.1.0" | |
| description = "threadpoolctl" | |
| optional = false | |
| python-versions = ">=3.6" | |
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| [[package]] | |
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| description = "Backported and Experimental Type Hints for Python 3.7+" | |
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| [[package]] | |
| name = "urllib3" | |
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| optional = false | |
| python-versions = ">=3.7" | |
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| ] | |
| [package.extras] | |
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| socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] | |
| zstd = ["zstandard (>=0.18.0)"] | |
| [metadata] | |
| lock-version = "2.0" | |
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| [tool.poetry] | |
| name = "dgimot" | |
| version = "0.1.0" | |
| description = "" | |
| authors = ["Maor Kadosh <git@avocadosh.xyz>"] | |
| readme = "README.md" | |
| [tool.poetry.dependencies] | |
| python = ">=3.10" | |
| numpy = "<1.25" # constraint from numba from librosa | |
| librosa = "^0.10.0.post2" | |
| [build-system] | |
| requires = ["poetry-core"] | |
| build-backend = "poetry.core.masonry.api" | |
| [[tool.mypy.overrides]] | |
| module = "librosa" | |
| ignore_missing_imports = true |
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