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A Short-Time Objective Intelligibility Measure for Time-Frequency Weighted Noisy Speech
2010 (English)Conference paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
2010. 4214-4217 p.
Keyword [en]
Intelligibility prediction, Noisy speech, Speech enhancement
National Category
Signal Processing
URN: urn:nbn:se:kth:diva-98827DOI: 10.1109/ICASSP.2010.5495701ScopusID: 2-s2.0-78049365405OAI: diva2:539510
IEEE International Conference on Acoustics, Speech and Signal Processing
QC 20120806Available from: 2012-07-04 Created: 2012-07-03 Last updated: 2012-08-06Bibliographically approved

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Taal, Cees H.
Signal Processing

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ReferencesLink to record
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