Speaker diarization: A review of recent research
Speaker diarization is the task of determining “who spoke when?” in an audio or video
recording that contains an unknown amount of speech and also an unknown number of …
recording that contains an unknown amount of speech and also an unknown number of …
A review on speaker diarization systems and approaches
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 …
Speaker diarization is the process of labeling a speech signal with labels corresponding to …
LIUM SpkDiarization: an open source toolkit for diarization
S Meignier, T Merlin - CMU SPUD Workshop, 2010 - hal.science
This paper presents an open-source diarization toolkit which is mostly dedicated to speaker
and developed by the LIUM. This toolkit includes hierarchical agglomerative clustering …
and developed by the LIUM. This toolkit includes hierarchical agglomerative clustering …
An open-source state-of-the-art toolbox for broadcast news diarization
This paper presents the LIUM open-source speaker diarization toolbox, mostly dedicated to
broadcast news. This tool includes both Hierarchical Agglomerative Clustering using well …
broadcast news. This tool includes both Hierarchical Agglomerative Clustering using well …
An information theoretic approach to speaker diarization of meeting data
D Vijayasenan, F Valente… - IEEE transactions on …, 2009 - ieeexplore.ieee.org
A speaker diarization system based on an information theoretic framework is described. The
problem is formulated according to the information bottleneck (IB) principle. Unlike other …
problem is formulated according to the information bottleneck (IB) principle. Unlike other …
Acoustic classification and segmentation using modified spectral roll-off and variance-based features
M Kos, Z Kačič, D Vlaj - Digital Signal Processing, 2013 - Elsevier
This paper presents novel features and an architecture for an automatic on-line acoustic
classification and segmentation system. The system includes speech/non-speech …
classification and segmentation system. The system includes speech/non-speech …
Prosodic and other long-term features for speaker diarization
Speaker diarization is defined as the task of determining ldquowho spoke whenrdquo given
an audio track and no other prior knowledge of any kind. The following article shows how a …
an audio track and no other prior knowledge of any kind. The following article shows how a …
Hybrid speech and text analysis methods for speaker change detection
Speaker Change Detection (SCD) is the task of segmenting an input audio-recording
according to speaker interchanges. Nowadays, many applications, such as Speaker …
according to speaker interchanges. Nowadays, many applications, such as Speaker …
Multi-modal speaker diarization of real-world meetings using compressed-domain video features
Speaker diarization is originally defined as the task of determining ldquowho spoke
whenrdquo given an audio track and no other prior knowledge of any kind. The following …
whenrdquo given an audio track and no other prior knowledge of any kind. The following …
The use of long-term features for GMM-and i-vector-based speaker diarization systems
Several factors contribute to the performance of speaker diarization systems. For instance,
the appropriate selection of speech features is one of the key aspects that affect speaker …
the appropriate selection of speech features is one of the key aspects that affect speaker …