Clothing‐Integrated Multifunctional Ultrasensitive Triboelectric Acoustic Textile for Real‐Time Heart Sound Monitoring, Remote Communication, and Voice Assistant

Abstract Real‐time acoustic detection is critical for auscultation, communication, and human‐artificial intelligence (AI) interactions. However, conventional acoustic sensors are bulky, rigid, and power‐hungry, limiting their applicability in wearables. Developing sound perception into textiles presents a promising yet challenging pathway for intuitive and imperceptible interfaces. Here, a multifunctional, scalable, ultrasensitive, and self‐powered triboelectric acoustic textile (MTA‐Textile) that enables real‐time sound sensing while possessing fabric properties including light weight, flexibility, and washability is reported. It supports diverse functionalities, including real‐time cardiac auscultation, remote communication, voice recognition, and voice assistants, seamlessly integrated into everyday clothing. The multilayered MTA‐Textile comprises a MoS 2 nanocomposite coating for charge trapping and transport and a graphite‐like textile for charge storage. This synergistic architecture maximizes charge generation and retention, delivering high output (18.3 V), exceptional sensitivity (3 V Pa −1 ) at low‐intensity, low‐frequency regions (<80 dB, <250 Hz), high signal‐to‐noise ratio (SNR) (57.5 dB), fine resolution (1 Hz), and long‐term stability (36600 s retention, >10 000 cycles). The first garments serving as textile‐based stethoscopes and voice intercom systems are demonstrated. With deep learning (DL)‐enabled vocal command recognition, users can engage computing systems by speaking directly to the textile. This work advances next‐generation acoustic wearables for healthcare, smart clothing, and human‐AI interfaces.