TowSY

TowSY is a tool developed to assist in the process of towed audio data generation. It is designed to streamline the creation of datasets used for training and evaluating machine learning models, particularly in the domain of speech processing. The tool focuses on simulating the acoustic conditions of a person speaking while being towed, such as in a vehicle.

The primary function of TowSY is to take clean speech audio and apply various modifications to mimic the characteristics of towed environments. This includes introducing background noise, reverberation, and other audio artifacts that are commonly present in such scenarios. By generating these synthesized towed audio samples, researchers and developers can create more robust and realistic datasets for their models.

TowSY aims to provide a controlled and reproducible method for generating this type of audio data. Users can typically specify parameters related to the towing environment, such as speed, road type, and the presence of other audio sources, allowing for fine-tuning of the generated audio. This controlled approach is crucial for systematic testing and improvement of speech recognition systems intended for use in moving vehicles or other towed situations. The tool is often open-source, contributing to wider accessibility and collaborative development within the speech technology community.