Articles with "diarization" as a keyword



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A novel approach for speaker diarization system using TMFCC parameterization and Lion optimization

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Published in 2017 at "Journal of Central South University"

DOI: 10.1007/s11771-017-3678-3

Abstract: In audio stream containing multiple speakers, speaker diarization aids in ascertaining “who speak when”. This is an unsupervised task as there is no prior information about the speakers. It labels the speech signal conforming to… read more here.

Keywords: diarization; diarization system; speaker; lion ... See more keywords
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Speech Enhancement for Multimodal Speaker Diarization System

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Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3007312

Abstract: Speaker diarization system identifies the speaker homogenous regions in those set of recordings where multiple speakers are present. It answers the question ‘who spoke when?’. The data set for speaker diarization usually consists of telephone,… read more here.

Keywords: diarization; diarization system; speaker diarization; speaker ... See more keywords

Speaker Diarization and Identification from Single Channel Classroom Audio Recordings Using Virtual Microphones

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3177584

Abstract: Speaker diarization refers to methods for identifying speakers from audio recordings. An important application comes from the need to assess student interactions in collaborative learning environments. Diarization is very difficult in these environments where a… read more here.

Keywords: diarization; audio recordings; virtual microphones; speaker diarization ... See more keywords

Multi-target Extractor and Detector for Unknown-number Speaker Diarization

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Published in 2022 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2023.3279781

Abstract: Strong representations of target speakers can help extract important information about speakers and detect corresponding temporal regions in multi-speaker conversations. In this study, we propose a neural architecture that simultaneously extracts speaker representations consistent with… read more here.

Keywords: diarization; number; speaker; speaker diarization ... See more keywords
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Supervised Speaker Diarization Using Random Forests: A Tool for Psychotherapy Process Research

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Published in 2020 at "Frontiers in Psychology"

DOI: 10.3389/fpsyg.2020.01726

Abstract: Speaker diarization is the practice of determining who speaks when in audio recordings. Psychotherapy research often relies on labor intensive manual diarization. Unsupervised methods are available but yield higher error rates. We present a method… read more here.

Keywords: supervised speaker; research; diarization; random forests ... See more keywords