RNNoise
4.6
Free RNNoise provides effective noise reduction with minimal latency, making it suitable for real-time audio processing applications.
A recurrent neural network for real-time audio noise reduction.
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Refined 3/4/2026
About RNNoise
RNNoise is a noise suppression library implemented as a recurrent neural network, designed for real-time audio processing. It uses a hybrid DSP/Deep Learning approach, enhancing speech quality by removing background noise from audio signals. The core architecture consists of a recurrent neural network trained on a diverse dataset of clean speech and various noise types. The library operates on RAW 16-bit mono PCM files sampled at 48 kHz, making it suitable for embedded systems and real-time communication applications. RNNoise provides a command-line tool for demonstration and can be integrated into larger audio processing pipelines. Its open-source nature and BSD-3-Clause license make it a flexible choice for developers seeking high-quality noise reduction solutions.
Core Capabilities
RNNoise is a noise suppression library implemented as a recurrent neural network, designed for real-time audio processing.
Main Tasks
Real-time Noise Reduction
Explore all tools that specialize in real-time noise reduction. This domain focus ensures RNNoise delivers optimized results for this specific requirement.