Neural network and SDR: speech recognition in GNU Radio DIY

In the world of amateur radio and software-defined radio (SDR) development, new and interesting possibilities are constantly emerging. One such possibility is the integration of modern neural networks for signal processing and analysis. In this article, we will explore how to use GnuRadio, a powerful platform for developing SDR systems, together with the Whisper.cpp neural network for speech recognition.

Before moving on to direct integration, it is necessary to delve deeper into the basics of working with GnuRadio. Let us start with basic laboratory exercises devoted to the study of generators and filters, as well as amplitude and frequency modulation. This will help us better understand the platform's capabilities and signal processing principles. Then we will create a simple voice recorder capable of recording sound in WAV format. This project will serve as a starting point for further work.

The main goal of the article is to create a custom block for GnuRadio that implements speech recognition functionality based on the Whisper.cpp neural network. Whisper is a modern neural network developed by OpenAI that demonstrates impressive results in the field of speech recognition. Whisper.cpp is a C++ port of Whisper, optimized for operation on various platforms, including embedded systems. Using Whisper.cpp allows us to implement speech recognition locally, without needing to send data to a remote server.

After creating the speech recognition block, we will integrate it into our voice recorder, which will allow us to record not only sound but also automatically transcribe it into text. Additionally, we will add this block to an FM receiver to enable speech recognition of radio-transmitted content. This opens wide possibilities for monitoring radio broadcasts and analyzing transmitted information.

The integration of neural networks into SDR systems opens new horizons for signal processing and analysis. Speech recognition is just one example. Neural networks can be used for signal classification, anomaly detection, communication quality improvement, and solving many other tasks. This enables the creation of more intelligent and efficient SDR systems.

In conclusion, the integration of neural networks such as Whisper.cpp into GnuRadio represents a promising direction for the development of SDR technology. This allows for the creation of powerful and flexible systems for signal processing and analysis, opening new possibilities for radio enthusiasts, researchers, and developers.