Non-intrusive intelligibility prediction using a codebook-based approach. S⊘rensen, C., Kavalekalam, M. S., Xenaki, A., Boldt, J. B., & Christensen, M. G. In 2017 25th European Signal Processing Conference (EUSIPCO), pages 216-220, Aug, 2017.
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Paper doi abstract bibtex
Paper doi abstract bibtex It could be beneficial for users of hearing aids if these were able to automatically adjust the processing according to the speech intelligibility in the specific acoustic environment. Most speech intelligibility metrics are intrusive, i.e., they require a clean reference signal, which is rarely available in real-life applications. This paper proposes a method, which allows using an intrusive short-time objective intelligibility (STOI) metric without requiring access to a clean signal. The clean speech reference signal is replaced by the clean speech envelope spectrum estimated from the noisy signal. The spectral envelope has been shown to be an important cue for speech intelligibility and is used as the reference signal inside STOI. The spectral envelopes are estimated as a combination of predefined dictionaries, i.e., code-books, that best fits the noisy speech signal. The simulations show a high correlation between the proposed non-intrusive codebook-based STOI (NIC-STOI) and the intrusive STOI indicating that NIC-STOI is a suitable metric for automatic classification of speech signals.
@InProceedings{8081200,
author = {C. S⊘rensen and M. S. Kavalekalam and A. Xenaki and J. B. Boldt and M. G. Christensen},
booktitle = {2017 25th European Signal Processing Conference (EUSIPCO)},
title = {Non-intrusive intelligibility prediction using a codebook-based approach},
year = {2017},
pages = {216-220},
abstract = {It could be beneficial for users of hearing aids if these were able to automatically adjust the processing according to the speech intelligibility in the specific acoustic environment. Most speech intelligibility metrics are intrusive, i.e., they require a clean reference signal, which is rarely available in real-life applications. This paper proposes a method, which allows using an intrusive short-time objective intelligibility (STOI) metric without requiring access to a clean signal. The clean speech reference signal is replaced by the clean speech envelope spectrum estimated from the noisy signal. The spectral envelope has been shown to be an important cue for speech intelligibility and is used as the reference signal inside STOI. The spectral envelopes are estimated as a combination of predefined dictionaries, i.e., code-books, that best fits the noisy speech signal. The simulations show a high correlation between the proposed non-intrusive codebook-based STOI (NIC-STOI) and the intrusive STOI indicating that NIC-STOI is a suitable metric for automatic classification of speech signals.},
keywords = {acoustic signal processing;hearing aids;signal classification;speech intelligibility;speech processing;nonintrusive intelligibility prediction;codebook-based approach;hearing aids;speech intelligibility metrics;clean speech reference signal;clean speech envelope spectrum;intrusive STOI;acoustic environment;intrusive short-time objective intelligibility;nonintrusive codebook-based STOI;speech signals automatic classification;Speech;Noise measurement;Speech coding;Time-frequency analysis;Frequency estimation;Speech processing},
doi = {10.23919/EUSIPCO.2017.8081200},
issn = {2076-1465},
month = {Aug},
url = {https://www.eurasip.org/proceedings/eusipco/eusipco2017/papers/1570343356.pdf},
}Downloads: 0
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