Amarnag Subramanya, Michael Seltzer, and Alex Acero
Computers are increasingly being used to capture
audio in various applications such as video conferencing and
meeting recording. In many of these applications, user may be
simultaneously typing on the keyboard, e.g., to take notes or
search for information. As a result, the captured speech signals
are significantly corrupted by sounds generated by the user’s keystrokes.
In this paper we propose an algorithm to automatically
detect and remove keystrokes from speech signals. The proposed
method does not require any user training or enrollment and
is computationally efficient. The keystroke removal algorithm
generates significantly enhanced speech as measured by both user
listening tests and speech recognition experiments.
|Published in||IEEE Signal Processing Letters|
|Publisher||Institute of Electrical and Electronics Engineers, Inc.|
© 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.