From 60f05cebd8e7968621a0ce015cf72987ec7577c7 Mon Sep 17 00:00:00 2001 From: "Somhairle H. Marisol" Date: Tue, 29 Sep 2026 10:50:12 +0800 Subject: feat(recorder): add offline voice clip pipeline MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit [变更性质] - 本提交新增本机离线的语音片段录音能力,不涉及网络服务或语音识别。 [新增功能] - 通过 Pulse 默认输入持续采集音频,以本地 Silero VAD 触发片段。 - 以私有目录和权限写入 24 kbps Ogg/Opus 录音,并提供 systemd 用户服务安装器。 [实现方案] - 使用有限前置缓冲、静音封段和最长段滚动状态机,避免静音落盘及内存无限增长。 - 增加真实 Opus 编解码、服务 dry-run 和纯逻辑状态转换测试;记录模型归属和部署前置条件。 [影响范围] - 新增 Python CLI、运行时模块、中文运维文档和自动测试。 - 未安装、启用或启动任何用户 systemd 服务;不删除或修改录音数据。 --- src/mic_clipper/audio_input.py | 72 ++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 72 insertions(+) create mode 100644 src/mic_clipper/audio_input.py (limited to 'src/mic_clipper/audio_input.py') diff --git a/src/mic_clipper/audio_input.py b/src/mic_clipper/audio_input.py new file mode 100644 index 0000000..1d77aa0 --- /dev/null +++ b/src/mic_clipper/audio_input.py @@ -0,0 +1,72 @@ +"""PipeWire/Pulse microphone capture through the local ffmpeg binary.""" + +from __future__ import annotations + +import subprocess +from collections.abc import Iterator + +import numpy as np + +from mic_clipper.vad import FRAME_SAMPLES + + +class AudioInputUnavailable(RuntimeError): + """The dynamic Pulse default source could not supply another frame.""" + + +class PulseAudioInput: + """Yield fixed 16 kHz mono float PCM frames from Pulse's `default` source.""" + + @staticmethod + def command() -> list[str]: + return [ + "ffmpeg", + "-nostdin", + "-hide_banner", + "-loglevel", + "error", + "-f", + "pulse", + "-sample_rate", + "16000", + "-channels", + "1", + "-i", + "default", + "-ac", + "1", + "-ar", + "16000", + "-f", + "f32le", + "pipe:1", + ] + + def frames(self) -> Iterator[np.ndarray]: + process = subprocess.Popen( + self.command(), + stdin=subprocess.DEVNULL, + stdout=subprocess.PIPE, + stderr=subprocess.PIPE, + ) + assert process.stdout is not None + assert process.stderr is not None + try: + while True: + payload = process.stdout.read(FRAME_SAMPLES * np.dtype("