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openSMILE – The Munich Versatile and Fast Open-Source ...
https://mediatum.ub.tum.de/doc/1082431/1082431.pdf
Feature extraction is an essential part of many audio anal-ysis tasks, e.g. Automatic Speech Recognition (ASR), anal-ysis of paralinguistics in speech, and Music Information Re-trieval (MIR). There are a few freely available feature ex-traction utilities which, however, are mostly designed for a special domain, such as ASR or MIR (see section 2).
Opensmile: the munich versatile and fast open-source …
https://dl.acm.org/doi/10.1145/1873951.1874246
We introduce the openSMILE feature extraction toolkit, which unites feature extraction algorithms from the speech processing and the Music Information Retrieval communities. Audio low-level descriptors such as CHROMA and CENS features, loudness, Mel-frequency cepstral coefficients, perceptual linear predictive cepstral coefficients, linear predictive coefficients, line …
openSMILE -- The Munich Versatile and Fast Open-Source ...
https://www.researchgate.net/publication/224929655_openSMILE_--_The_Munich_Versatile_and_Fast_Open-Source_Audio_Feature_Extractor
openSMILE – The Munich V ersatile and Fast Open-Sour ce Audio Feature Extractor Florian Eyben Institute for Human-Machine Communication T echnische Universität München 80290 München, Germany...
Opensmile: the munich versatile and fast open-source …
https://www.semanticscholar.org/paper/Opensmile%3A-the-munich-versatile-and-fast-audio-Eyben-W%C3%B6llmer/438219194cedac00974ad28604b63a66e0b6f436
The openSMILE feature extraction toolkit is introduced, which unites feature extraction algorithms from the speech processing and the Music Information Retrieval communities and has a modular, component based architecture which makes extensions via plug-ins easy. We introduce the openSMILE feature extraction toolkit, which unites feature extraction algorithms …
Opensmile: the munich versatile and fast open-source …
https://www.semanticscholar.org/paper/Opensmile%3A-the-munich-versatile-and-fast-audio-Eyben-W%C3%B6llmer/438219194cedac00974ad28604b63a66e0b6f436/figure/2
DOI: 10.1145/1873951.1874246 Corpus ID: 8726667. Opensmile: the munich versatile and fast open-source audio feature extractor @article{Eyben2010OpensmileTM, title={Opensmile: the munich versatile and fast open-source audio feature extractor}, author={Florian Eyben and Martin W{\"o}llmer and Bj{\"o}rn Schuller}, journal={Proceedings of the 18th ACM international …
Opensmile: the munich versatile and fast open-source audio ...
https://xueshu.baidu.com/usercenter/paper/show?paperid=6bb8cc870a441c932a74ca8460db15e1
We introduce the openSMILE feature extraction toolkit, which unites feature extraction algorithms from the speech processing and the Music Information Retrieval communities. Audio low-level descriptors such as CHROMA and CENS features, loudness, Mel-frequency cepstral coefficients, perceptual linear predictive cepstral coefficients, linear predictive coefficients, line …
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