A short-time objective intelligibility measure for time-frequency weighted noisy speech
Delft University of Technology · Oticon Medical (Denmark)
Abstract
Existing objective speech-intelligibility measures are suitable for several types of degradation, however, it turns out that they are less appropriate for methods where noisy speech is processed by a time-frequency (TF) weighting, e.g., noise reduction and speech separation. In this paper, we present an objective intelligibility measure, which shows high correlation (rho=0.95) with the intelligibility of both noisy, and TF-weighted noisy speech. The proposed method shows significantly better performance than three other, more sophisticated, objective measures. Furthermore, it is based on an intermediate intelligibility measure for short-time (approximately 400 ms) TF-regions, and uses a simple DFT-based…
Citation impact
- FWCI
- 8.12
- Percentile
- 100%
- References
- 19
Authors
4Topics & keywords
- Intelligibility (philosophy)
- Speech recognition
- Weighting
- Computer science
- MATLAB
- Measure (data warehouse)
- Time–frequency analysis
- Speech enhancement
- Peace, Justice and strong institutions