###### Abstract
The implementation of Acoustic Vehicle Alert Systems (AVAS) in electric and hybrid vehicles serves not only to alert pedestrians and other road users of impending danger but also to provide clear indications of the vehicle's driving status and its approach, presence, and departure [10]. Consequently, the artificial engine sound's frequency should dynamically shift in correlation with the vehicle's speed, replicating the characteristic change in noise levels associated with speed. However, the emitted sound should maintain a minimum level to ensure audibility, particularly in high-noise environments. According to ISO 10844 standards, this minimum level is defined as 50 dBA at 10 km/h and 56 dBA at 20 km/h, measured 2 m from the vehicle's longitudinal center line to the microphone positions [9]. Moreover, the sound emitted by a vehicle equipped with AVAS should not exceed 75 dBA under these test conditions. Research on AVAS and warning sounds has explored various angles, including strategies to minimize noise pollution through directional guidance and assessing the environmental impact of generated sounds [11; 12; 13]. Redirecting warning sounds has been investigated as a means to control noise pollution, with techniques such as directing sound propagation towards the vehicle's direction of movement or pedestrian areas showing promise in reducing audibility while lowering noise levels. Several methods, including highly directional parametric speakers, low-cost speakers, and speaker arrays capable of targeted sound direction, have been proposed [14; 15; 16; 17; 18]. However, the adoption of more sophisticated sound direction solutions has been hindered by high production and maintenance costs. Another consideration is the susceptibility of sensitive speakers to adverse environmental conditions like wind, dust, water, and temperature fluctuations [19]. To address this, conventional speakers can be replaced with inertial actuators, which vibrate attached structures to emit sound. Actuator-based systems can match the directivity performance of traditional speaker arrays without requiring structural modifications, as they can be connected to existing vehicle panels. However, systems using actuators may exhibit erratic frequency responses. The automotive industry's growing reliance on Electronic Control Units (ECUs) and integrated systems has led vehicle manufacturers to seek more sophisticated warning sounds. Consequently, there is a shift towards employing algorithms capable of generating programmable sound waves to enhance and optimize in-car audio systems. This paper delves into the development of a graphical user interface (GUI) utilizing the Python-based Horn SoundGeneratorGUI class and the Tkinter library. Moreover, it explores the design and testing of warning sounds to ensure compliance with regulations, notably ECE R28 [20]. Through the practical and user-friendly designs facilitated by Python libraries, users can craft distinctive sounds by manipulating fundamental frequencies, harmonic value ranges, and amplitude parameters. The software offers features such as visualizing the frequency spectrum with FFT (Fast Fourier Transform) graphs, audio playback, and saving in WAV (Waveform Audio File Format) format. With its intuitive interface and flexibility in sound design, this software emerges as a valuable tool for individuals seeking to create original horn sounds. To date, there seems to be a lack of research in the literature specifically focused on the production of digital horn sounds. Additionally, studies examining digital horn sounds generated by AVAS devices are scarce. In current AVAS products with digital horn sounds, sound production is usually managed by sound engineers who apply traditional music theory and mathematical principles. This study presents a new approach, utilizing software with oscillator and equalizer functions to generate digital horn sounds while still following traditional methods. This innovative approach is one of the main contributions of this research.