Name
Title | ||
|---|---|---|
Joint Dereverberation and Residual Echo Suppression of Speech Signals in Noisy Environments |
Abstract | ||
|---|---|---|
Hands-free devices are often used in a noisy and reverberant environment. Therefore, the received microphone signal does not only contain the desired near-end speech signal but also interferences such as room reverberation that is caused by the near-end source, background noise and a far-end echo signal that results from the acoustic coupling between the loudspeaker and the microphone. These interferences degrade the fidelity and intelligibility of near-end speech. In the last two decades, post filters have been developed that can be used in conjunction with a single microphone acoustic echo canceller to enhance the near-end speech. In previous works, spectral enhancement techniques have been used to suppress residual echo and background noise for single microphone acoustic echo cancellers. However, dereverberation of the near-end speech was not addressed in this context. Recently, practically feasible spectral enhancement techniques to suppress reverberation have emerged. In this paper, we derive a novel spectral variance estimator for the late reverberation of the near-end speech. Residual echo will be present at the output of the acoustic echo canceller when the acoustic echo path cannot be completely modeled by the adaptive filter. A spectral variance estimator for the so-called late residual echo that results from the deficient length of the adaptive filter is derived. Both estimators are based on a statistical reverberation model. The model parameters depend on the reverberation time of the room, which can be obtained using the estimated acoustic echo path. A novel postfilter is developed which suppresses late reverberation of the near-end speech, residual echo and background noise, and maintains a constant residual background noise level. Experimental results demonstrate the beneficial use of the developed system for reducing reverberation, residual echo, and background noise. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/TASL.2008.2002071 | Audio, Speech, and Language Processing, IEEE Transactions |
Keywords | Field | DocType |
adaptive filters,echo suppression,loudspeakers,microphones,reverberation,speech intelligibility,speech processing,acoustic coupling,acoustic echo path,adaptive filter,joint dereverberation,microphone acoustic echo canceller,residual echo suppression,room reverberation,spectral variance estimator,speech intelligibility,speech signals,statistical reverberation model,Acoustic echo cancellation (AEC),dereverberation,residual echo suppression | Noise,Speech enhancement,Speech processing,Background noise,Reverberation,Computer science,Speech recognition,Acoustics,Reverberation room,Microphone,Intelligibility (communication) | Journal |
Volume | Issue | ISSN |
16 | 8 | 1558-7916 |
Citations | PageRank | References |
19 | 1.28 | 28 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Habets, E.A.P. | 1 | 280 | 19.14 |
| Sharon Gannot | 2 | 1754 | 130.51 |
| Irun R. Cohen | 3 | 296 | 21.62 |
| Piet Sommen | 4 | 72 | 13.10 |