PyDTMF 🔢🎵
纯 Python 实现的 DTMF/MF 双音多频信号检测库 — 零外部依赖。
使用 Goertzel 算法从 WAV 音频文件中检测 DTMF(双音多频)和 Bell MF(多频)拨号音。
功能特点
- ✅ DTMF 检测 — 数字 0-9、*、#、A、B、C、D
- ✅ Bell MF 检测 — 多频信令音检测
- ✅ 纯 Python — 无 C 扩展、无 NumPy,仅使用标准库
- ✅ WAV 支持 — 8/16/24/32 位 PCM,任意采样率
- ✅ 音频预处理 — 自动转单声道、去直流偏置、音量归一化、重采样至 8kHz
安装
pip install git+https://github.com/Moxin1044/PyDTMF.git
或者直接复制 PyDTMF/ 目录即可使用 — 无需安装。
使用方法
命令行
python -m PyDTMF recording.wav
python -m PyDTMF recording.wav --mf # 同时检测 MF 信号
python -m PyDTMF recording.wav --no-optimize # 跳过预处理
Python API
from PyDTMF import from_wav, detect, from_pcm
# 从 WAV 文件检测
dtmf, mf = detect("recording.wav")
print(f"DTMF: {dtmf}")
# 从 WAV 字节数据检测(例如从网络下载)
with open("recording.wav", "rb") as f:
dtmf, mf = from_wav(f.read())
# 从原始 PCM 采样数据检测
dtmf, mf = from_pcm(samples, sample_rate=44100, channels=1)
# 同时检测 MF 信号
dtmf, mf = from_pcm(samples, detect_mf_mode=True)
工作原理
- 解析 WAV 文件头 → 提取格式信息
- 转换为单声道、去除直流偏置、归一化音量
- 重采样至 8kHz(电话标准采样率)
- 使用 Goertzel 算法测量每个 DTMF 频率的能量
- 当两个主导频率(一个行频、一个列频)超过阈值时判定为有效数字
DTMF 频率表
| 1209 Hz | 1336 Hz | 1477 Hz | 1633 Hz | |
|---|---|---|---|---|
| 697 Hz | 1 | 2 | 3 | A |
| 770 Hz | 4 | 5 | 6 | B |
| 852 Hz | 7 | 8 | 9 | C |
| 941 Hz | * | 0 | # | D |
许可证
GNU General Public License v2.0。
Metadata
Release files for PyDTMF 1.0.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| pydtmf-1.0.0-py3-none-any.whl | Python 3 | none | any | Details for pydtmf-1.0.0-py3-none-any.whl |
Total release size: 15.7 kB
Release files / pydtmf-1.0.0.tar.gz
| Download URL | pydtmf-1.0.0.tar.gz |
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| Size | 8.1 kB |
| Tags | Source |
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| Tags | Python 3 |
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