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Unsupervised speaker segmentation and tracking in real ...
https://link.springer.com/article/10.1007%2Fs00530-004-0160-5
In our approach, incremental speaker model updating and segmental clustering is proposed, which makes the unsupervised speaker segmentation and tracking feasible in real-time processing. A Bayesian fusion method is also proposed to fuse multiple audio features to obtain a more reliable result, and different noise levels are utilized to compensate for background …
Unsupervised speaker segmentation and tracking in real ...
https://www.researchgate.net/publication/226102840_Unsupervised_speaker_segmentation_and_tracking_in_real-time_audio_content_analysis
Lu and Zhang present an unsupervised speaker segmentation and tracking algorithm in real-time audio content analysis [28]. No prior knowledge of the number of speakers and their identity is ...
Unsupervised speaker segmentation and tracking in real ...
https://www.deepdyve.com/lp/springer-journals/unsupervised-speaker-segmentation-and-tracking-in-real-time-audio-8H70rvu9He
In our retrieval or browsing [24, 25], speaker adaptation for speech approach, incremental speaker model updating and segmental recognition [12, 21], and video content analysis [30]. clustering is proposed, which makes the unsupervised speaker Unlike the speaker identification or verification problem segmentation and tracking feasible in real-time …
CiteSeerX — in real-time audio content analysis ⋆
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.98.1549
In our approach, incremental speaker model updating and segmental clustering is proposed, which makes the unsupervised speaker segmentation and tracking feasible in real-time processing. A Bayesian fusion method is also proposed to fuse multiple audio features to obtain a more reliable result, and different noise levels are utilized to compensate for background …
(PDF) Unsupervised Speaker Segmentation using ...
https://www.researchgate.net/publication/43656126_Unsupervised_Speaker_Segmentation_using_Autoassociative_Neural_Network
This paper addresses the problem of real-time speaker segmentation and speaker tracking in audio content analysis in which no prior knowledge …
Unsupervised Speaker Segmentation using Autoassociative ...
https://www.ijcaonline.org/journal/number7/pxc387293.pdf
Unsupervised Speaker Segmentation using Autoassociative Neural Network ABSTRACT In this paper we propose an unsupervised approach to speaker segmentation using autoassociative neural network (AANN). Speaker segmentation aims at finding speaker change points in a speech signal which is an important preprocessing step to audio
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