rust-silence 0.1.1

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🎙️ RustSilence: High-Performance Silence Detection (pydub in Rust)

RustSilence is a supercharged Rust implementation of pydub's silence detection module, designed for blazing-fast audio preprocessing. Leveraging the speed and safety of Rust, RustSilence can detect silent segments in WAV, MP3, FLAC, OGG, and more — all in a fraction of the time it takes in Python.

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🚀 Why?

pydub is great for quick scripting, but it struggles in performance-critical tasks like real-time TTS. This project combines:

• 🦀 Rust’s speed
• 🔊 Symphonia’s audio decoding
• 🔇 pydub’s silence detection
• 🐍 pyO3 Python bindings

to build a rock-solid preprocessing module for F5-TTS and beyond.

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✅ Features

• 🎙️ Mono support only
• 🎧 Decode audio using Symphonia (bits per sample for fmt_ext PCM sub-type must be <= 32 bits)
• 🔇 Detect silence (via pydub.silence)
• 🐍 Python-compatible via pyO3

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📦 Installation

$pip install rust-silence

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🧪 Example (Python)

import rust_silence

# Accepts WAV, MP3, FLAC, etc.
# Returns a NumPy array (mono, float32)
audio_np, sample_rate = rust_silence.from_file("example.mp3")
silence = rust_silence.detect_silence(audio_np, sample_rate)

Audio loading & resampling powered by Symphonia, silence trimming via pydub.silence.

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⚙️ Performance Snapshot

Task	Python	Rust (pyO3)
from_file	~160 ms	~4 ms
detect_silence	~700 ms	~17 ms
detect_nonsilent	~700 ms	~17 ms
split_on_silence	~700 ms	~17 ms
detect_leading_silence	~280 μs	~9 μs

** audio duration 10s and sample rate 32,000 (~320,000 samples) **

Symphonia provides native decoding, multi-format support, and fast performance—ideal for preprocessing pipelines like F5-TTS.

🛣 Roadmap

• Rust engine
• pyO3 integration
• Silence detection (from pydub)

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🧠 Powered by

• Symphonia — fast, accurate audio decoding
• pydub — simple silence detection
• pyO3 — clean Rust ↔ Python bindings

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📜 License

MIT