Autonomous Sensory Meridian Response (ASMR) is a unique sensory experience triggered by specific auditory or visual stimuli, often accompanied by relaxation, pleasure and stress relief effects. People have their own preference for different ASMR audio, but current ASMR generation methods, like field collection or studio production, cannot meet various requirements. This study innovatively takes artificial intelligence-driven personalized ASMR audio generation as its core and explores its application potential in psychological regulation and physiological relaxation. We build a generation framework based on Vector Quantization Variational Autoencoder (VQ-VAE) and autoregressive model, and utilize a small amount of high-quality ASMR data to achieve deep learning and personalized generation of audio features. This model can independently synthesize high-fidelity ASMR audio with natural rhythms, friction textures and environmental atmospheres, providing users with immersive experiences tailored to their individual needs. Meanwhile, this study independently developed a set of wearable devices integrating the collection and feedback of human physiological signals, which can monitor the user's heart rate, respiratory rate, electromyography (EMG), pupil diameter and other multi-dimensional indicators in real time, thereby dynamically assessing the relaxation state and fatigue level. The experimental results show that when listening to the ASMR audio generated by AI, the average fatigue index of the subjects decreased by 32%, their heart rate and breathing rate decreased, and the pupil diameter slightly dilated, demonstrating a significant physiological relaxation effect. The innovation of this research lies in the deep integration of artificial intelligence generation models with physiological data feedback systems, achieving intelligent, adaptive and personalized generation of ASMR audio. This framework that combines AI empowerment with biological adaptability provides a new scientific basis and technical path for future digital healing, sleep improvement and emotional intervention.
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Listening to Your Heart: An AI-Empowered and Bioadaptive ASMR Audio Generation Device
Semantic Scholar · 2026
Abstract
Autonomous Sensory Meridian Response (ASMR) is a unique sensory experience triggered by specific auditory or visual stimuli, often accompanied by relaxation, pleasure and stress relief effects. People have their own preference for different ASMR audio, but current ASMR generation methods, like field collection or studio production, cannot meet various requirements. This study innovatively takes artificial intelligence-driven personalized ASMR audio generation as its core and explores its application potential in psychological regulation and physiological relaxation. We build a generation framework based on Vector Quantization Variational Autoencoder (VQ-VAE) and autoregressive model, and utilize a small amount of high-quality ASMR data to achieve deep learning and personalized generation of audio features. This model can independently synthesize high-fidelity ASMR audio with natural rhythms, friction textures and environmental atmospheres, providing users with immersive experiences tailored to their individual needs. Meanwhile, this study independently developed a set of wearable devices integrating the collection and feedback of human physiological signals, which can monitor the user's heart rate, respiratory rate, electromyography (EMG), pupil diameter and other multi-dimensional indicators in real time, thereby dynamically assessing the relaxation state and fatigue level. The experimental results show that when listening to the ASMR audio generated by AI, the average fatigue index of the subjects decreased by 32%, their heart rate and breathing rate decreased, and the pupil diameter slightly dilated, demonstrating a significant physiological relaxation effect. The innovation of this research lies in the deep integration of artificial intelligence generation models with physiological data feedback systems, achieving intelligent, adaptive and personalized generation of ASMR audio. This framework that combines AI empowerment with biological adaptability provides a new scientific basis and technical path for future digital healing, sleep improvement and emotional intervention.
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