Piezoelectric Voiceprint Recognition Based on 3D Nanofiber Aerogel

Abstract Poor acoustic‐electric performance and limited sound information extraction capabilities restrict the widespread application of acoustic sensors in voiceprint recognition. Efficient human‐machine voice interaction requires the development of acoustic sensors with higher performance and rich recognition capabilities at the underlying design level. This work constructed a piezoelectric‐based L‐polylactic acid/silk fibroin (PLLA/SF) acoustic‐driven nanofiber aerogel (ANA) for voiceprint recognition. The 3D porous structural network of PLLA/SF ANA exhibits greater structural deformation capability under equivalent acoustic stimulation, effectively enhancing acoustic‐electric conversion performance. The PLLA/SF ANA device achieves a wideband response (90–1000 Hz), high sensitivity (16 V·Pa −1 ), high electrical output (65.6 V, 10.59 µA), and satisfactory resolution (1 Hz). Leveraging this excellent acoustic‐electric response performance it enables effective voiceprint recognition, including voice identity and emotion perception, through characteristic spectrum analysis of the electrical response signal, thus providing new ideas for future self‐powered human‐machine voice interaction.