Blind sparse source separation for unknown number of sources using Gaussian mixture model fitting with Dirichlet prior

Author:

Araki Shoko,Tomohiro Nakatani ,Sawada Hiroshi,Makino Shoji

Publisher

IEEE

Cited by 24 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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2. An Optimized Pipeline Based Blind Source Separation Architecture for FPGA Applications;International Journal of Electrical and Electronics Research;2022-09-30

3. Training Data Generation with DOA-based Selecting and Remixing for Unsupervised Training of Deep Separation Models;Interspeech 2022;2022-09-18

4. Weakly-Supervised Neural Full-Rank Spatial Covariance Analysis for a Front-End System of Distant Speech Recognition;Interspeech 2022;2022-09-18

5. A Slide-Save Based Framework for Multi-Source DOA Extraction with Closely Spaced Sources;ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2022-05-23

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