Sparse, Hierarchical and Semi-Supervised Base Learning for Monaural Enhancement of Conversational Speech

@inproceedings{Weninger2012SparseHA,
  title={Sparse, Hierarchical and Semi-Supervised Base Learning for Monaural Enhancement of Conversational Speech},
  author={Felix Weninger and Martin W{\"o}llmer and Bj{\"o}rn W. Schuller},
  booktitle={ITG Conference on Speech Communication},
  year={2012}
}
We address the learning of noise bases in a monaural speaker-independent speech enhancement framework based on non-negative matrix factorization. Bases are estimated from training data in batch processing by means of hierarchical and non-hierarchical sparse coding, or determined during the speech enhancement process based on the divergence of the observed noisy speech signal and the speech base. In extensive test runs on the Buckeye corpus of highly spontaneous speech and the CHiME corpus of… CONTINUE READING