Audio Enhancement Expert by willsigmon/sigstack
npx skills add https://github.com/willsigmon/sigstack --skill 'Audio Enhancement Expert'使用 AI 增强工具优化播客和语音音频。
curl -X POST https://auphonic.com/api/simple/productions.json \
-u "user:pass" \
-F "input_file=@episode.mp3" \
-F "output_basename=episode-enhanced" \
-F "algorithms=loudness,leveler,denoise"
import auphonic
client = auphonic.Client(username="...", password="...")
production = client.create_production(
input_file="episode.mp3",
algorithms=["loudness", "leveler", "denoise", "filtering"],
output_files=[{
"format": "mp3",
"bitrate": 128
}]
)
production.start()
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触达数万 AI 开发者,精准高效
1. 降噪 (移除恒定噪音)
2. 去混响 (减少房间回声)
3. 音量平衡 (平衡说话者音量)
4. 压缩 (均衡音量)
5. 响度标准化 (达到目标 LUFS)
# 获取噪音配置文件
ffmpeg -i input.mp3 -af "silencedetect=n=-30dB:d=0.5" -f null -
# 应用降噪
ffmpeg -i input.mp3 \
-af "highpass=f=80,lowpass=f=12000,afftdn=nf=-20" \
output.mp3
# 标准化 + 降噪
sox input.mp3 output.mp3 \
norm -1 \
noisered noise.prof 0.21
# Auphonic 批量处理
for file in audio_files:
production = client.create_production(
input_file=file,
algorithms=["loudness", "leveler"]
)
production.start()
适用场景:播客优化、语音清晰度提升、噪音消除、响度标准化
每周安装次数
–
代码仓库
GitHub 星标数
9
首次出现时间
–
安全审计
Polish podcast and voice audio with AI enhancement tools.
curl -X POST https://auphonic.com/api/simple/productions.json \
-u "user:pass" \
-F "input_file=@episode.mp3" \
-F "output_basename=episode-enhanced" \
-F "algorithms=loudness,leveler,denoise"
import auphonic
client = auphonic.Client(username="...", password="...")
production = client.create_production(
input_file="episode.mp3",
algorithms=["loudness", "leveler", "denoise", "filtering"],
output_files=[{
"format": "mp3",
"bitrate": 128
}]
)
production.start()
1. Noise reduction (remove constant noise)
2. De-reverb (reduce room echo)
3. Leveling (balance speakers)
4. Compression (even out volume)
5. Loudness normalization (hit target LUFS)
# Get noise profile
ffmpeg -i input.mp3 -af "silencedetect=n=-30dB:d=0.5" -f null -
# Apply noise reduction
ffmpeg -i input.mp3 \
-af "highpass=f=80,lowpass=f=12000,afftdn=nf=-20" \
output.mp3
# Normalize + noise reduce
sox input.mp3 output.mp3 \
norm -1 \
noisered noise.prof 0.21
# Auphonic batch
for file in audio_files:
production = client.create_production(
input_file=file,
algorithms=["loudness", "leveler"]
)
production.start()
Use when: Podcast polish, voice clarity, noise removal, loudness normalization
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GitHub Stars
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