Activities per year
Abstract
A powerful tool to investigate speech perception is the use of speech intelligibility prediction models. Recently, a model was presented, termed correlation-based speech-based envelope power spectrum model (sEPSMcorr) [1], based on the auditory processing of the multi-resolution speech-based Envelope Power Spectrum Model (mr-sEPSM) [2], combined with the correlation back-end of the Short-Time Objective Intelligibility measure (STOI) [3]. The sEPSMcorr can accurately predict NH data for a broad range of listening conditions, e.g., additive noise, phase jitter and ideal binary mask processing
| Original language | English |
|---|---|
| Publication date | 2016 |
| Publication status | Published - 2016 |
| Event | ARCHES/ICANHEAR 2016: Audiological Research Cores in Europe (ARCHES) meeting and Improved Communication through Applied Hearing Research (ICanHear) conference - University of Zurich, Zurich, Switzerland Duration: 21 Nov 2016 → 23 Nov 2016 http://www.uzh.ch/orl/events/Arches2016/Program2016/program2016.html |
Conference
| Conference | ARCHES/ICANHEAR 2016 |
|---|---|
| Location | University of Zurich |
| Country | Switzerland |
| City | Zurich |
| Period | 21/11/2016 → 23/11/2016 |
| Internet address |
Activities
- 1 Conference presentations
A correlation metric in the envelope power spectrum domain for speech intelligibility prediction
Helia Relano Iborra (Guest lecturer)
2017
Activity: Talks and presentations › Conference presentations
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Cite this
Relaño-Iborra, H., May, T., Zaar, J., Scheidiger, C., & Dau, T. (2016). A correlation metric in the envelope power spectrum domain for speech intelligibility prediction. Poster session presented at ARCHES/ICANHEAR 2016, Zurich, Switzerland.