Evaluation of voice activity and voicing detection
Bojan Kotnik, Pierre Sendorek, Sergey Astrov, Turgay Koç, Tolga Çiloğlu, Laura Docío-Fernández, Eduardo Rodríguez Banga, Harald Höge, Zdravko Kačič · 2008
This paper describes the ECESS evaluation campaign of voice activity and voicing detection. Standard VAD classifies signal into speech and non-speech, we extend it to VAD+ so that it classifies a signal as a sequence of non-speech, voiced and unvoiced segments. The evaluation is performed on a portion of the Spanish SPEECON database with manually labeled segmentation. To avoid errors caused by the limited precision of manual labeling we introduce "dead zones" -tolerance intervals ±5 ms around label changes in the data set. In these tolerance intervals we don't evaluate the signal.