Automatic Removal of Typed Keystrokes From Speech Signals

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.

2007-mseltzer-tspl.pdf
PDF file

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.

Details

TypeArticle
Pages363-366
Volume14
Number5
> Publications > Automatic Removal of Typed Keystrokes From Speech Signals