This survey focuses on two challenging speech processing topics, namely: speaker
segmentation and speaker clustering. Speaker segmentation aims at finding speaker …

Speaker indexing or diarization is an important task in audio processing and retrieval.
Speaker diarization is the process of labeling a speech signal with labels corresponding to …

This paper describes recent advances in speaker diarization with a multistage segmentation
and clustering system, which incorporates a speaker identification step. This system builds …

Bioacoustic networks could vastly expand the coverage of wildlife monitoring to complement
satellite observations of climate and vegetation. This approach would enable global-scale …

Audio segmentation is an essential preprocessing step in several audio processing
applications with a significant impact eg on speech recognition performance. We introduce a …

Significant progress has recently been made in speaker diarisation after the introduction of d-
vectors as speaker embeddings extracted from neural network (NN) speaker classifiers for …

This paper proposes an unsupervised method for real time detection of abnormal events in
the context of audio surveillance. Based on training a One-Class Support Vector Machine …

In this paper, we propose three divide-and-conquer approaches for Bayesian information
criterion (BlC)-based speaker segmentation. The approaches detect speaker changes by …

This paper presents a computationally efficient and distributed speaker diarization
framework for networked IoT-style audio devices. The work proposes a Federated Learning …

Speaker Change Detection (SCD) is a task of determining the time boundaries between
speech segments of different speakers. SCD system can be applied to many tasks, such as …