4 accepted papers
Acoustic/linguistic modification of speech production with respect to auditory feedback is an important research domain for robust human-to-human and human-to-machine communication. For instance, in the presence of environmental noise, a speaker experiences the well-known phenomenon termed as Lombar…
A new method to analyze and classify daily activities in personal audio recordings (PARs) is presented. The method employs speech activity detection (SAD) and speaker diarization systems to provide high level semantic segmentation of the audio file. Subsequently, a number of audio, speech and lexica…
The ability to estimate the number of words spoken by an individual over a certain period of time is valuable in second language acquisition, healthcare, and assessing language development. However, establishing a robust automatic framework to achieve high accuracy is non-trivial in realistic/natura…
This study is focused on an unsupervised approach for detection of human scream vocalizations from continuous recordings in noisy acoustic environments. The proposed detection solution is based on compound segmentation, which employs weighted mean distance, T <sup xmlns:mml="http://www.w3.org/1998/M…