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FFmpeg audio processing, batch editing, normalization, mixing, and automated audio production workflows. Use when processing audio at scale, automating editing tasks, or building audio pipelines.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
| name | audio-editing-automation |
| description | FFmpeg audio processing, batch editing, normalization, mixing, and automated audio production workflows. Use when processing audio at scale, automating editing tasks, or building audio pipelines. |
ffmpeg -i input.mp4 -vn -acodec copy audio.aac
# -vn: no video
# -acodec copy: no re-encoding
# WAV to MP3
ffmpeg -i input.wav -c:a libmp3lame -b:a 192k output.mp3
# MP3 to AAC
ffmpeg -i input.mp3 -c:a aac -b:a 192k output.m4a
# Increase volume by 10dB
ffmpeg -i input.mp3 -af "volume=10dB" output.mp3
# Normalize using loudnorm filter
ffmpeg -i input.wav -af "loudnorm=I=-16:TP=-1.5:LRA=11" output.wav
# Mix two audio files
ffmpeg -i voice.mp3 -i music.mp3 -filter_complex amix=inputs=2:duration=longest output.mp3
# Voice + background music (ducking)
ffmpeg -i voice.mp3 -i music.mp3 -filter_complex \
"[1:a]volume=0.3[bg];[0:a][bg]amix=inputs=2:duration=first" output.mp3
import subprocess
from pathlib import Path
def normalize_audio_batch(input_dir, output_dir):
for audio in Path(input_dir).glob("*.mp3"):
output = Path(output_dir) / audio.name
subprocess.run([
'ffmpeg', '-i', str(audio),
'-af', 'loudnorm=I=-16:TP=-1.5',
str(output)
])
Format: MP3
Bitrate: 128-192kbps
Sample Rate: 44.1kHz
Loudness: -16 LUFS
Peak: -1dB
Format: MP3, 192kbps CBR
Sample Rate: 44.1kHz
Peak: -3dB
RMS: -18dB to -23dB
Noise Floor: -60dB
Format: AAC
Bitrate: 192kbps
Sample Rate: 48kHz
Loudness: -14 LUFS
def audio_production_pipeline(voice_file, music_file):
# 1. Normalize voice
normalize_audio(voice_file, 'voice_normalized.mp3')
# 2. Mix with music
mix_audio('voice_normalized.mp3', music_file, 'mixed.mp3')
# 3. Final loudness normalization
final_normalize('mixed.mp3', 'final.mp3', target_lufs=-16)
# 4. Export for platforms
export_for_podcast('final.mp3')
export_for_youtube('final.mp3')
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