Abstract
Multiple pitch streaming from a mixture is a challenging problem for signal processing and especially for speech separation. In this paper, we use a Zero frequency filtering (ZFF) based new system to stream pitch of multiple concurrent speakers. We propose a workflow to estimate pitch values of all sources in each single frame then streaming them into trajectories, each corresponding to a distinct source. The method consists of detecting and localizing the involved speakers in a mixture, followed by a ZFF based approach where involved speakers’ pitches are iteratively streamed from the observed mixture. The robustness of the proposed system is tested over two, and three overlapping speech mixtures collected in reverberant environment. The results indicate that our proposal brings ZFF to a competitive level with another recently proposed streaming approach.
Original language | English |
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Title of host publication | 28th European Signal Processing Conference, EUSIPCO 2020 - Proceedings |
Publisher | European Association For Signal and Imag Processing |
Pages | 286-290 |
Number of pages | 5 |
ISBN (Electronic) | 978-9-0827-9705-3 |
DOIs | |
Publication status | Published - 24 Jan 2021 |
MoE publication type | A4 Conference publication |
Event | European Signal Processing Conference - Amsterdam, Netherlands Duration: 24 Aug 2020 → 28 Aug 2020 Conference number: 28 |
Publication series
Name | European Signal Processing Conference |
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Publisher | Eurasip |
ISSN (Print) | 2219-5491 |
ISSN (Electronic) | 2076-1465 |
Conference
Conference | European Signal Processing Conference |
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Abbreviated title | EUSIPCO |
Country/Territory | Netherlands |
City | Amsterdam |
Period | 24/08/2020 → 28/08/2020 |
Keywords
- pitch estimation
- Zero frequency filtering
- Epochs
- multipitch
- streaming