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Birds, especially songbirds, Passerine, depend on the syrinx to produce a vast range of pitches and tones for their communication through performing. Only members of the same species can comprehend and communicate with one another. Birds instinctively use their songs to communicate from birth, even if they have never heard those sounds before. By comparing birdsong to language, each species has only one language and cannot learn the languages of other bird species (Catchpole, 1979). As a result, evaluating birdsong by recording it in a way similar to human language is not universal, because various listeners may interpret the sounds differently. Furthermore, the range of sounds in songbirds can be so diverse that some human language terms cannot be described. Thus, studying birdsong entails first translating communication sounds into a frequency-time graph, known as a Sonagram, and then analyzing the sound structure using waveform patterns.

Currently, people in socialist societies are increasingly using private vehicles, which has resulted in a significant increase in noise pollution. This transformation has affected various living beings, including the oriental magpie robin, causing alterations in their vocalizations. The demands of these birds are subjected to the pressures of human urban living, impacting their calls that are crucial for survival, such as alarm calls, mating calls, and even calls to assert territorial ownership (Catchpole, 1979; Welty, 1982,). This disturbance has has caused variations in the frequency of their sounds, potentially leading to confusion in communication and affecting their lifestyle. The purpose of this study is to compare the degree of noise pollution caused by vehicle engines in the vicinity of the Biology Building of the Faculty of Science at Prince of Songkhla University to the area where personnel live. Furthermore, it intends to investigate the vocal characteristics of the oriental magpie robin living in places with varying levels of noise pollution. The research team used the Song Meter SM4 Acoustic Recorder to collect vocalization data from December 26th to 31st, 2023. The recordings were then converted into Sonogram waves in the Kaleidoscope Lite Analysis Software to count the occurrences of noise pollution in both areas and to analyze four characteristics of Trill Songs: the highest audio frequency, the lowest audio frequency, frequency range, and phrase average. The study discovered that the region surrounding the staff accommodations had a higher number of engine sounds than the area around the biology building in the Faculty of Science, classifying it as a high noise pollution area. The oriental magpie robins in high-noise pollution areas sang at higher frequencies than those in low-noise areas. The findings emphasize the impact of noise pollution on birds and raise awareness about urban expansion.