3 accepted papers
Exemplar-based (or Corpus-based) speech enhancement algorithms have great potential but are typically slow due to needing to search through the entire corpus. The properties of speech can be exploited to improve these algorithms. Firstly, a corpus can be clustered by a phonetic ordering into a searc…
Given the success of patch-based approaches to image denoising, this paper addresses the ill-posed problem of patch size selection. Large patch sizes improve noise robustness in the presence of good matches, but can also lead to artefacts in textured regions due to the rare patch effect; smaller pat…
It is shown that under certain conditions it is possible to obtain a good speech estimate from noise without requiring noise estimation. We study an implementation of the theory, namely wide matching, for speech enhancement. The new approach performs sentence-wide joint speech segment estimation sub…