A review of speaker diarization: Recent advances with deep learning
Speaker diarization is a task to label audio or video recordings with classes that correspond
to speaker identity, or in short, a task to identify “who spoke when”. In the early years …
to speaker identity, or in short, a task to identify “who spoke when”. In the early years …
Energy management using non-intrusive load monitoring techniques–State-of-the-art and future research directions
R Gopinath, M Kumar, CPC Joshua… - Sustainable Cities and …, 2020 - Elsevier
In recent years, the development of smart sustainable cities has become the primary focus
among urban planners and policy makers to make responsible use of resources, conserve …
among urban planners and policy makers to make responsible use of resources, conserve …
Robust speech perception: recognize the familiar, generalize to the similar, and adapt to the novel.
DF Kleinschmidt, TF Jaeger - Psychological review, 2015 - psycnet.apa.org
Successful speech perception requires that listeners map the acoustic signal to linguistic
categories. These mappings are not only probabilistic, but change depending on the …
categories. These mappings are not only probabilistic, but change depending on the …
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 …
[图书][B] Speaker recognition
H Beigi, H Beigi - 2011 - Springer
The objective of the enrollment process is to modify (adapt) a speaker-independent model
into one that best characterizes the target speaker's vocal tract characteristics. Depending …
into one that best characterizes the target speaker's vocal tract characteristics. Depending …
The ICSI RT07s speaker diarization system
C Wooters, M Huijbregts - International Evaluation Workshop on Rich …, 2007 - Springer
In this paper, we present the ICSI speaker diarization system. This system was used in the
2007 National Institute of Standards and Technology (NIST) Rich Transcription evaluation …
2007 National Institute of Standards and Technology (NIST) Rich Transcription evaluation …
Speaker segmentation and clustering
M Kotti, V Moschou, C Kotropoulos - Signal processing, 2008 - Elsevier
This survey focuses on two challenging speech processing topics, namely: speaker
segmentation and speaker clustering. Speaker segmentation aims at finding speaker …
segmentation and speaker clustering. Speaker segmentation aims at finding speaker …
A review on speaker diarization systems and approaches
MH Moattar, MM Homayounpour - Speech Communication, 2012 - Elsevier
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 …
[图书][B] Robust speaker diarization for meetings
X Anguera Miró - 2006 - upcommons.upc.edu
This thesis shows research performed into the topic of speaker diarization for meeting
rooms. It looks into the algorithms and the implementation of an offline speaker …
rooms. It looks into the algorithms and the implementation of an offline speaker …
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 …