Nodes overview

Here you'll find all of the Switchboard Nodes categorised by usage in an audio graph. You also can find the nodes categorised by license type on the submenu.

Do you want your technology to be a Node in Switchboard?

We can help you creating an extension and show it on this page.

Get in touch at hello@synervoz.com.

Voice

• Bose PinPoint: Removes any unwanted noise from an audio signal.
• RNNoise: Noise suppression library based on a recurrent neural network.
• Speex DSP: Echo cancellation and voice signal pre-processing.
• Voice Effects: Real-time voice changer effects.
• Silero Voice Activity Detector: AI-based real-time speech detection.
• Silero Text-to-Speech: AI-based real-time text-to-speech solution.
• Silero Speech-to-Text: AI-based real-time speech-to-text solution.
• Picovoice Speech-to-Text: AI-based on device real-time speech-to-text solution.
• Voicemod: Realtime sound effects.

Communications

• WebRTC: Using the WebRTC framework with custom input and output audio devices.
• Agora: Easy audio integration with Agora's voice and video SDKs.
• TokBox: Easy audio integration with the TokBox communications SDK.
• Amazon Chime: Using the Amazon Chime SDK with custom input and output audio devices.
• Amazon IVS: Live audio and video streaming service with both low-latency and real-time streaming capabilities.
• LiveKit: Open-source platform that provides scalable, real-time audio and video streaming capabilities.

Music

• Music Synchronization: Synchronizing audio players over the internet.
• Spotify: Streaming music from Spotify.
• Dash Radio: Streaming music from Dash radio.
• ExoPlayer: Tap into the extensive capabilities of ExoPlayer.
• AudioShake: AI-based real-time on device music stem separation.
• Aubio: Real-time audio analysis capabilities like pitch detection.

DSP

• Superpowered: Provides high-quality low-latency audio DSP components.
• SoX: A collection of free to use audio effects.
• VST: Real-time audio processing with VST3 plug-ins

Machine Learning

• RTNeural: Running RTNeural machine learning models for audio processing.
• TensorFlow: Running TensorFlow machine learning models for audio processing.
• ONNX: Running ONNX machine learning models for audio processing.
• PyTorch: Running PyTorch machine learning models for audio processing.
• Whisper: Whisper based speech-to-text
• Sherpa: Sherpa based speech-to-text