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On-line multi-modal speaker diarization
Proceedings of the 9th international conference on Multimodal interfaces, 2007This paper presents a novel framework that utilizes multi-modal information to achieve speaker diarization. We use dynamic Bayesian networks to achieve on-line results. We progress from a simple observation model to a complex multi-modal one as more data becomes available. We present an efficient way to guide the learning procedure of the complex model
Noulas, A., Kröse, B.J.A.
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2016 International Conference on Signal Processing and Communication (ICSC), 2016
Speaker Diarization is the task of identifying start and end time of a speaker in an audio file, together with the identity of the speaker i.e. “who spoke when”. Diarization has many applications in speaker indexing, retrieval, speech recognition with speaker identification, diarizing meeting and lectures.
Aishwary Joshi +2 more
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Speaker Diarization is the task of identifying start and end time of a speaker in an audio file, together with the identity of the speaker i.e. “who spoke when”. Diarization has many applications in speaker indexing, retrieval, speech recognition with speaker identification, diarizing meeting and lectures.
Aishwary Joshi +2 more
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Investigation of speaker embeddings for cross-show speaker diarization
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016This paper proposes to investigate speaker embeddings, a representation extracted from hidden layers of deep neural networks trained on a speaker identification task, on cross-show diarization. The new representation brings an improvement over i-vectors, and we show that while shallow hidden layers give best results on the single-show condition, deeper
Mickael Rouvier, Benoît Favre
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Speaker Diarization in Overlapped Speech
2022 19th International Multi-Conference on Systems, Signals & Devices (SSD), 2022Hadjer Bounazou +2 more
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New Advances in Speaker Diarization
Interspeech 2020, 2020Hagai Aronowitz +4 more
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A Review of Speaker Diarization: Recent Advances With Deep Learning
Computer Speech and Language, 2022Shrikanth Narayanan +2 more
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Online Neural Diarization of Unlimited Numbers of Speakers Using Global and Local Attractors
IEEE/ACM Transactions on Audio Speech and Language Processing, 2023Yuki Takashima +2 more
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Novel Architectures for Unsupervised Information Bottleneck Based Speaker Diarization of Meetings
IEEE/ACM Transactions on Audio Speech and Language Processing, 2021Chandra Sekhar Chellu +2 more
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An improved speaker diarization system
Interspeech 2007, 2007Rong Fu, Ian D. Benest
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