Noise reduction

JVM library for noise reduction written in Kotlin based on the ML model Silero

See also

• Stretch to change the speed of audio without changing the pitch

• Voice Activity Detection to extract speech from audio

• Speech recognition to transcribe audio to text

• Speech generation to generate voice audio from text

• Text generation to generate text from prompt

When to use

Silero

Attempts to reduce background noise along with various artefacts such as reverb, clipping, high/lowpass filters etc., while trying to preserve and/or enhance speech.

Features

• Reduces noise in PCM audio data
• Supports any sampling rate and number of channels due to resampling and downmixing

Installation

• Download latest release

• Add library dependency

  dependencies {
       implementation(file("/path/to/jar"))
  }

Silero

• Add ONNX dependency

  dependencies {
       implementation("ai.djl.pytorch:pytorch-native-cpu:2.5.1:win-x86_64")
  }

Usage

See the example module for implementation details

TL;DR

• Call process to denoise the input data

Step-by-step

• Create an instance

  Silero

  NoiseReduction.Silero.create()

• Call inputSizeForMillis to get the input data size for N milliseconds

• Call minimumInputSize to get the audio producer buffer size for real-time reduction

• Call process passing the input data, sample rate, and number of channels as arguments

• Call reset to reset the internal state - for example when the audio source changes

• Call close to release resources

Requirements

• JVM version 9 or higher

License

This project is licensed under the Apache License 2.0

Acknowledgments

• Silero