Endowing machines with sensing capabilities similar to those of humans is a prevalent
quest in engineering and computer science. In the pursuit of making computers sense their …

Speaker diarization refers to methods for identifying speakers from audio recordings. An
important application comes from the need to assess student interactions in collaborative …

The selection of the best features to be used in expert systems is a key issue in obtaining a
satisfactory performance. Unsupervised speaker segmentation and clustering is the task of …

Speaker diarization systems aim to segment an audio signal into homogeneous sections
with only one active speaker and answer the question" who spoke when?" We present a …

This paper presents a speech-based system for autism severity estimation combined with
automatic speaker diarization. Speaker diarization was performed by two different methods …

Speaker identification in noisy audio recordings, specifically those from collaborative
learning environments, can be extremely challenging. There is a need to identify individual …

Speaker diarization in the meeting scenario is a challenging problem due to spontaneous,
conversational speech and distant nature of signal acquisition. We present a novel method …

Speech signals captured by microphones placed at a distance from the speaker are
corrupted by reverberation, ie sound waves reflected off hard surfaces such as walls and …

Endowing machines with sensing capabilities similar to those of humans is a prevalent
quest in engineering and computer science. In the pursuit of making computers sense their …