Results 51 to 60 of about 231,551 (186)
Speaker-turn aware diarization for speech-based cognitive assessments
Frontiers in NeuroscienceIntroductionSpeaker diarization is an essential preprocessing step for diagnosing cognitive impairments from speech-based Montreal cognitive assessments (MoCA).MethodsThis paper proposes three enhancements to the conventional speaker diarization methods ...
Sean Shensheng Xu +9 more
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Latent class model with application to speaker diarization
EURASIP Journal on Audio, Speech, and Music Processing, 2019 In this paper, we apply a latent class model (LCM) to the task of speaker diarization. LCM is similar to Patrick Kenny’s variational Bayes (VB) method in that it uses soft information and avoids premature hard decisions in its iterations.
Liang He +5 more
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Speaker diarization : "who spoke when" [PDF]
, 2012 Speaker diarization is the process of annotating an input audio with information that attributes temporal regions of the audio signal to their respective sources, which may include both speech and non-speech events.
Wang, David I-Chung
core
Robust speaker diarization for meetings
, 2023 Aquesta tesi doctoral mostra la recerca feta en l'àrea de la diarització de locutor per a sales de reunions. En la present s'estudien els algorismes i la implementació d'un sistema en diferit de segmentació i aglomerat de locutor per a grabacions de reunions a on normalment es té accés a més d'un micròfon per al processat.
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Speaker embedding loss for end-to-end speaker diarization without external embedding networks
EURASIP Journal on Audio, Speech, and Music ProcessingThis paper introduces a novel speaker embedding loss function designed to improve the performance of end-to-end neural diarization (EEND) systems by enhancing speaker discrimination.
Jaehee Jung, Wooil Kim
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Multistage speaker diarization of broadcast news [PDF]
IEEE Transactions on Audio, Speech and Language Processing, 2006 This paper describes recent advances in speaker diarization with a multistage segmentation and clustering system, which incorporates a speaker identification step. This system builds upon the baseline audio partitioner used in the LIMSI broadcast news transcription system.
Barras, Claude +3 more
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INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, 2023 Speaker diarization is the task of determining "who spoke when?" in an audio or video recording that contains an unknown amount of speech and an unknown number of speakers. It is a challenging task due to the variability of human speech, the presence of overlapping speech, and the lack of prior information about the speakers.
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Improving Speaker Diarization for Overlapped Speech with Texture-Aware Feature Fusion
MathematicsSpeaker diarization (SD), which aims to address the “who spoke when” problem, is a key technology in speech processing. Although end-to-end neural speaker diarization methods have simplified the traditional multi-stage pipeline, their capability to ...
Chengli Sun, Miao Sun, Wenrui Wei
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Multimodal Diarization Systems by Training Enrollment Models as Identity Representations
Applied Sciences, 2022 This paper describes a post-evaluation analysis of the system developed by ViVoLAB research group for the IberSPEECH-RTVE 2020 Multimodal Diarization (MD) Challenge.
Victoria Mingote +5 more
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The LIUM Human Active Correction Platform for Speaker Diarization
, 2021 International audienceWe developed a human assisted speaker diarization platform that enables a human annotator to correct the output of any speaker diarization system by providing a graphical view of the diarization segmentation and clustering steps ...
Prokopalo, Yevhenii +9 more
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