Throat and acoustic paired speech dataset for deep learning-based speech enhancement

ArXi:2502.11478v3 Announce Type: replace-cross In high-noise environments such as factories, subways, and busy streets, capturing clear speech is challenging. Throat microphones can offer a solution because of their inherent noise-suppression capabilities; however, the passage of sound waves through skin and tissue attenuates high-frequency information, reducing speech clarity. Recent deep learning approaches have shown promise in enhancing throat microrecordings, but further progress is constrained by the lack of a standard dataset. Here, we.