@article{Sigmund_2013, title={Search for Keywords and Vocal Elements in Audio Recordings}, volume={19}, url={https://eejournal.ktu.lt/index.php/elt/article/view/5652}, DOI={10.5755/j01.eee.19.9.5652}, abstractNote={This paper deals with search for keywords and non-verbal vocal elements in audio recordings. An efficient detection of specific words or sounds embedded in continuous speech is based on isolated word recognition approaches. The mel-frequency cepstral coefficients and more combinations of predictive coefficients and autocorrelation coefficients were evaluated. A keyword or key sound slides along the stored speech and in each of its positions a distance (i.e., similarity) to the corresponding speech segment is computed. We found an efficient distance measure for non-verbal sound search. The average detection rates achieved 93 percent in keyword search and 74 percent in non-verbal sound search. A system developed for automatic search in audio files is presented. <p>DOI: <a href="http://dx.doi.org/10.5755/j01.eee.19.9.5652">http://dx.doi.org/10.5755/j01.eee.19.9.5652</a></p>}, number={9}, journal={Elektronika ir Elektrotechnika}, author={Sigmund, M.}, year={2013}, month={Nov.}, pages={71-74} }