Automatic Removal of Typed Keystrokes From Speech Signals

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.


Publication typeArticle
Published inIEEE Signal Processing Letters
PublisherInstitute of Electrical and Electronics Engineers, Inc.
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