Joint Diarization and Separation Using SepFormer With Non-Autoregressive Attractors
Open Access
- 1 January 2025
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Signal Processing Letters
- Vol. 32, 2913-2917
Abstract
No abstract availableFunding Information
- National Science Centre, Poland (2021/42/E/ST7/00452)
- AGH University of Krakow
- Excellence initiative – research university
- Polish high-performance computing infrastructure PLGrid (PLG/2023/016823, PLG/2024/017659)
This publication has 19 references indexed in Scilit:
- TS-SEP: Joint Diarization and Separation Conditioned on Estimated Speaker EmbeddingsIEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024
- Speaker Counting and Separation From Single-Channel Noisy MixturesIEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023
- EEND-SS: Joint End-to-End Neural Speaker Diarization and Speech Separation for Flexible Number of Speakers2023
- Integrating End-to-End Neural and Clustering-Based Diarization: Getting the Best of Both Worlds2021
- Attention Is All You Need In Speech Separation2021
- Integration of Speech Separation, Diarization, and Recognition for Multi-Speaker Meetings: System Description, Comparison, and Analysis2021
- Dual-Path RNN: Efficient Long Sequence Modeling for Time-Domain Single-Channel Speech Separation2020
- Conv-TasNet: Surpassing Ideal Time–Frequency Magnitude Masking for Speech SeparationIEEE/ACM Transactions on Audio, Speech, and Language Processing, 2019
- SDR – Half-baked or Well Done?2019
- Librispeech: An ASR corpus based on public domain audio books2015