A survey of speaker recognition: Fundamental theories, recognition methods and opportunities
Humans can identify a speaker by listening to their voice, over the telephone, or on any
digital devices. Acquiring this congenital human competency, authentication technologies …
digital devices. Acquiring this congenital human competency, authentication technologies …
The third DIHARD diarization challenge
DIHARD III was the third in a series of speaker diarization challenges intended to improve
the robustness of diarization systems to variability in recording equipment, noise conditions …
the robustness of diarization systems to variability in recording equipment, noise conditions …
Spot the conversation: speaker diarisation in the wild
The goal of this paper is speaker diarisation of videos collected'in the wild'. We make three
key contributions. First, we propose an automatic audio-visual diarisation method for …
key contributions. First, we propose an automatic audio-visual diarisation method for …
The second dihard diarization challenge: Dataset, task, and baselines
This paper introduces the second DIHARD challenge, the second in a series of speaker
diarization challenges intended to improve the robustness of diarization systems to variation …
diarization challenges intended to improve the robustness of diarization systems to variation …
Overlapping speech detection using long-term conversational features for speaker diarization in meeting room conversations
SH Yella, H Bourlard - IEEE/ACM Transactions on Audio …, 2014 - ieeexplore.ieee.org
Overlapping speech has been identified as one of the main sources of errors in diarization of
meeting room conversations. Therefore, overlap detection has become an important step …
meeting room conversations. Therefore, overlap detection has become an important step …
Teager–kaiser energy operators for overlapped speech detection
N Shokouhi, JHL Hansen - IEEE/ACM Transactions on Audio …, 2017 - ieeexplore.ieee.org
Overlapped speech is referred to a monophonic audio signal in which at least two speakers
are present at the same time. In this study, the focus is on distinguishing overlapped from …
are present at the same time. In this study, the focus is on distinguishing overlapped from …
[PDF][PDF] Detecting overlapping speech with long short-term memory recurrent neural networks
Detecting segments of overlapping speech (when two or more speakers are active at the
same time) is a challenging problem. Previously, mostly HMM-based systems have been …
same time) is a challenging problem. Previously, mostly HMM-based systems have been …
Enhancing lstm rnn-based speech overlap detection by artificially mixed data
This paper presents a new method for Long Short-Term Memory Recurrent Neural Network
(LSTM) based speech overlap detection. To this end, speech overlap data is created …
(LSTM) based speech overlap detection. To this end, speech overlap data is created …
From Modular to End-to-End Speaker Diarization
F Landini - arXiv preprint arXiv:2407.08752, 2024 - arxiv.org
Speaker diarization is usually referred to as the task that determines``who spoke when''in a
recording. Until a few years ago, all competitive approaches were modular. Systems based …
recording. Until a few years ago, all competitive approaches were modular. Systems based …
Overlapping speaker segmentation using multiple hypothesis tracking of fundamental frequency
This paper demonstrates how the harmonic structure of voiced speech can be exploited to
segment multiple overlapping speakers in a speaker diarization task. We explore how a …
segment multiple overlapping speakers in a speaker diarization task. We explore how a …