openSMILE:): the Munich open-source large-scale multimedia feature extractor

We present recent developments in the openSMILE feature extraction toolkit. Version 2.0 now unites feature extraction paradigms from speech, music, and general sound events with basic video features for multi-modal processing. Descriptors from audio and ...

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-...

With the advancement of technology in deep learning, we have developed methods that generate fake speech, which is impossible to differentiate from a natural speech by an ordinary person perceptually. Fake speech can be used maliciously to harm ...