Name
Abstract | ||
|---|---|---|
Speech enhancement is vital for improved listening practices. Ad hoc microphone arrays are promising assets for this purpose. Most well-established enhancement techniques with conventional arrays can be adapted into ad hoc scenarios. Despite recent efforts to introduce various ad hoc speech enhancement apparatus, a common framework for integration of conventional methods into this new scheme is still missing. This paper establishes such an abstraction based on inter and intra subarray speech coherencies. Along with measures for signal quality at the input of subarrays, a measure of coherency is proposed both for subarray selection in local enhancement approaches, and also for selecting a proper global reference when more than one subarray are used. Proposed methods within this framework are evaluated with regard to quantitative and qualitative measures, including array gains, the speech distortion ratio, the PESQ measure, and the STOI intelligibility measure. Major findings in this work are the observed changes in the superiority of different methods for certain conditions. When perceptual quality or intelligibility of the speech are the ultimate goals, there are turning points where the MVDR and the LCMV are superior to Wiener-based methods. Also, for certain scenarios, local approaches may be preferred to global ones. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TASLP.2016.2537202 | IEEE/ACM Trans. Audio, Speech & Language Processing |
Keywords | Field | DocType |
Speech,Array signal processing,Speech enhancement,Microphone arrays,Noise reduction | Speech enhancement,Noise reduction,Speech processing,Computer science,Voice activity detection,Speech recognition,Microphone array,Microphone,PESQ,Intelligibility (communication) | Journal |
Volume | Issue | ISSN |
24 | 6 | 2329-9290 |
Citations | PageRank | References |
3 | 0.38 | 33 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vincent Mohammad Tavakoli | 1 | 3 | 0.72 |
| Jesper Jensen | 2 | 1548 | 133.47 |
| Mads Grísbøll Christensen | 3 | 761 | 76.48 |
| Jacob Benesty | 4 | 32 | 5.57 |