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- Taal, Cees H., et al.
(författare)
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A Short-Time Objective Intelligibility Measure for Time-Frequency Weighted Noisy Speech
- 2010
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Konferensbidrag (refereegranskat)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 TF-decomposition. In addition, a free Matlab implementation is provided.
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- Taal, Cees H., et al.
(författare)
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An Evaluation of Objective Quality Measures for Speech Intelligibility Prediction
- 2009
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Konferensbidrag (refereegranskat)abstract
- In this research various objective quality measures are evaluated in order to predict the intelligibility for a wide range of non-linearly processed speech signals and speech degraded by additive noise. The obtained results are compared with the prediction results of a more advanced perceptual-based model proposed by Dau et al. and an objective intelligibility measure, namely the coherence speech intelligibility index (cSII). These tests are performed in order to gain more knowledge between the link of speech-quality and speech-intelligibility and may help us to exploit the extensive research done into the field of speech-quality for speech-intelligibility. It is shown that cSII does not necessarily show better performance compared to conventional objective (speech)-quality measures. In general, the DAU-model is the only method with reasonable results for all processing conditions.
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- Taal, Cees H., et al.
(författare)
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Intelligibility Prediction of Single-Channel Noise-Reduced Speech
- 2010
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Konferensbidrag (refereegranskat)abstract
- In general, single-channel noise-reduction algorithms do not improve the speech intelligibility for normal-hearing listeners. A reliable objective intelligibility measure is therefore of great interest. It could be used for analysis and/or optimization of noise-reduction algorithms. For these applications it is important that the objective measure can correctly predict the difference in intelligibility before and after noise reduction. Typically, existing studies do not evaluate objective measures for this property. Twelve objective measures are evaluated in order to let them predict the intelligibility before and after noise reduction. Best performance was obtained with a recently developed intelligibility predictor called STOI. Modest results were obtained with WSS and NSEC. The remaining measures significantly overestimated the intelligibility of the noise-reduced speech.
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- Vuoksimaa, E, et al.
(författare)
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Aggression and academic performance
- 2017
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Ingår i: BEHAVIOR GENETICS. - 0001-8244. ; 47:6, s. 656-656
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)
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