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From Simulated Mixtures to Simulated Conversations as Training Data for End-to-End Neural Diarization.

, , , и . INTERSPEECH, стр. 5095-5099. ISCA, (2022)

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Alicia Kühl

Enrique Lozano

Enrique Lozano

Juan Lozano

Armand Lozano

 

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DNN-based Embeddings for Speaker Diarization in the AuDIaS-UAM System for the Albayzin 2018 IberSPEECH-RTVE Evaluation., , , , и . IberSPEECH, стр. 224-226. ISCA, (2018)On the Use of Convolutional Neural Networks in Pairwise Language Recognition., , , , и . IberSPEECH, том 8854 из Lecture Notes in Computer Science, стр. 79-88. Springer, (2014)Evaluation of an LSTM-RNN System in Different NIST Language Recognition Frameworks., , и . Odyssey, стр. 231-236. ISCA, (2016)Bottleneck and Embedding Representation of Speech for DNN-based Language and Speaker Recognition., , и . IberSPEECH, стр. 179-183. ISCA, (2018)Multi-Speaker and Wide-Band Simulated Conversations as Training Data for End-to-End Neural Diarization., , , и . ICASSP, стр. 1-5. IEEE, (2023)Analysis and Optimization of Bottleneck Features for Speaker Recognition., , , , , , , и . Odyssey, стр. 352-357. ISCA, (2016)Detection of Publicity Mentions in Broadcast Radio: Preliminary Results., , , и . IberSPEECH, том 10077 из Lecture Notes in Computer Science, стр. 108-116. (2016)Analysis of BUT-PT Submission for NIST LRE 2017., , , , , , , , , и 5 other автор(ы). Odyssey, стр. 47-53. ISCA, (2018)Analysis of DNN-based Embeddings for Language Recognition on the NIST LRE 2017., , , , и . Odyssey, стр. 39-46. ISCA, (2018)An end-to-end approach to language identification in short utterances using convolutional neural networks., , , , и . INTERSPEECH, стр. 403-407. ISCA, (2015)