Abstract
A transient is an abrupt or impulsive sound followed by decaying oscillations, e.g., keyboard typing and door knocking. Such sounds often arise as interference in everyday applications, e.g., hearing aids, hands-free accessories, mobile phones, and conference-room devices. In this paper, we present an algorithm for single-channel transient interference suppression. The main component of the proposed algorithm is the estimation of the spectral variance of the interference. We propose a statistical model of the transient interference and combine it with non-local filtering. We exploit the unique spectral structure of the transients along with their impulsive temporal nature to distinct them from speech. A particular attention is given to handling both short-and long-duration transients. Experimental results show that the proposed algorithm enables significant transient suppression for a variety of transient types.
| Original language | English |
|---|---|
| Article number | 6287556 |
| Pages (from-to) | 132-144 |
| Number of pages | 13 |
| Journal | IEEE Transactions on Audio, Speech and Language Processing |
| Volume | 21 |
| Issue number | 1 |
| DOIs | |
| State | Published - 2013 |
Keywords
- Speech enhancement
- acoustic noise
- impulse noise
- speech processing
- transient noise
All Science Journal Classification (ASJC) codes
- Acoustics and Ultrasonics
- Electrical and Electronic Engineering