| Paper: | SLP-P4.1 | ||
| Session: | Speech Enhancement in Adverse Environments | ||
| Time: | Tuesday, May 16, 14:00 - 16:00 | ||
| Presentation: | Poster | ||
| Topic: | Speech and Spoken Language Processing: Speech Enhancement (for Impaired Situations) | ||
| Title: | Speech Enhancement under a Combined Stochastic-Deterministic Model | ||
| Authors: | Richard Hendriks, Richard Heusdens, Jesper Jensen, Delft University of Technology, Netherlands | ||
| Abstract: | Most DFT domain based enhancement methods rely on stochastic models to derive clean speech estimators. In this paper we investigate the use of a deterministic speech model and present an MMSE estimator under a combined stochastic-deterministic speech model. Experimental results show an increase in segmental SNR of 1.18 dB, compared to the use of a stochastic model alone. Furthermore, PESQ evaluations lead to an increase of 0.3 on the MOS scale. Listening tests show a preference for the proposed MMSE estimator under combined stochastic-deterministic speech model. | ||
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