<p>This research presents a novel self-controlled Wireless Acoustic Sensor Network (WASN) framework to estimate and restore audio quality losses during wireless transmission. Audio streaming applications such as VoIP, online learning and virtual conferencing often suffer from degraded quality due to packet loss, low signal-to-noise ratio (SNR), reduced peak signal-to-noise ratio (PSNR), and decreased signal fidelity. The proposed system addresses these challenges through four key steps: (i) audio signal transmission via WASN, (ii) dynamic selection of networks based on loss-related criteria, (iii) quantitative measurement of audio quality losses and (iv) restoration of the degraded audio at the receiver end. The proposed method adaptively constructs WASN networks using four key metrics: packet loss ratio, SNR, PSNR and signal fidelity. An intermediate station and selective channel scanning mechanism are integrated to increase channel availability and reduce packet losses during congested transmission conditions. Experimental evaluations were conducted using two types of audio files (music and voice) to validate the approach. Results demonstrate that the proposed system significantly improves audio quality compared to existing methods, achieving approximately 30–35% reduction in packet loss ratio and notable improvements in SNR, PSNR and signal fidelity across different test scenarios. This work offers a robust and adaptive mechanism to preserve audio quality during wireless streaming, ensuring near-lossless reconstruction at the receiver end. Future work will focus on extending the framework by integrating additional quality metrics and expanding its applicability to a wider range of real-time multimedia streaming environments.</p>