Papers › End-to-End Neural Speaker Diarization with Self-attention

End-to-End Neural Speaker Diarization with Self-attention

13 Sep 2019arXiv:1909.06247archive 2025-07-28

Yusuke Fujita, Naoyuki Kanda, Shota Horiguchi, Yawen Xue, Kenji Nagamatsu, Shinji Watanabe

Speaker diarization has been mainly developed based on the clustering of speaker embeddings. However, the clustering-based approach has two major problems; i.e., (i) it is not optimized to minimize diarization errors directly, and (ii) it cannot handle speaker overlaps correctly. To solve these problems, the End-to-End Neural Diarization (EEND), in which a bidirectional long short-term memory (BLSTM) network directly outputs speaker diarization results given a multi-talker recording, was recently proposed. In this study, we enhance EEND by introducing self-attention blocks instead of BLSTM blocks. In contrast to BLSTM, which is conditioned only on its previous and next hidden states, self-attention is directly conditioned on all the other frames, making it much suitable for dealing with the speaker diarization problem. We evaluated our proposed method on simulated mixtures, real telephone calls, and real dialogue recordings. The experimental results revealed that the self-attention was the key to achieving good performance and that our proposed method performed significantly better than the conventional BLSTM-based method. Our method was even better than that of the state-of-the-art x-vector clustering-based method. Finally, by visualizing the latent representation, we show that the self-attention can capture global speaker characteristics in addition to local speech activity dynamics. Our source code is available online at https://github.com/hitachi-speech/EEND.

PaperPDFCodeCode Syntology ran

In Syntology Open this paper in Syntology's Atlas, the map of the papers in Syntology's graph and their citations.

For agents, Syntology's MCP tool lists every function and class Syntology harvested from this paper and whether it ran (how to connect): get_harvested_code_for_paper(arxiv_id="1909.06247")

Code

Syntology Ran 0 of 5 code samples harvested from 1 repository linked to this paper; 5 have no recorded run.

By repository: community (archive-listed): 5 samples from 1 repository, 0 ran. The run record, sample by sample. “Ran” means executed on a synthesized input, not that the code is correct or reproduces the paper.

hitachi-speech/EEND officialmentioned in papermentioned on GitHubMIT report
JunzheJosephZhu/EEND-for-LENA mentioned on GitHubMIT report

Repository list and official/mentioned flags are the archive's, frozen 2025-07-28. Reachability, where shown, is from one Syntology probe window (2026-09-16 to 2026-09-18); repositories not probed show nothing. GitHub stars are not tracked.

Code Syntology ran Syntology

5 samples harvested; 0 ran; 0 honoured the contract we drafted; 5 have no recorded run. Read from Syntology's graph 2026-09-24; that is when this build read the record, not when the samples ran.

5unverified

Licence: 0 of the 5 samples are pointer only, meaning Syntology does not serve that copy's text. This page shows no code text for any sample; each one links to its file in the repository.

Harvested from JunzheJosephZhu/EEND-for-LENA. “Ran” means the sample executed on a synthesized input. It does not mean the output is correct, and nothing here reproduces the paper's results. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code.

Each sample ends with its code_sha256, Syntology's identity for that exact code. An agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

Repository labels, per sample. official repository: The archive marks this repository official for the paper. named in the paper: The archive records that the paper mentions this repository; it is not marked official. community (archive-listed): In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper. found in paper text by Syntology: Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted. community: Not in the archive's code links for this paper; a community repository Syntology harvested. Samples from a repository marked official are listed first. Licence labels name the repository's licence as recorded at harvest. “Pointer only” means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence label for the reason. File links open the file on GitHub at the default branch, which may have changed since the harvest.

get_input_dim JunzheJosephZhu/EEND-for-LENA/eend/feature.py community (archive-listed) unverified MIT (permissive) · 2f299371003065aa · report
load_segments JunzheJosephZhu/EEND-for-LENA/eend/kaldi_data.py community (archive-listed) unverified MIT (permissive) · 216dff0f296d027f · report
load_segments_hash JunzheJosephZhu/EEND-for-LENA/eend/kaldi_data.py community (archive-listed) unverified MIT (permissive) · 805c93ef8140e802 · report
load_segments_rechash JunzheJosephZhu/EEND-for-LENA/eend/kaldi_data.py community (archive-listed) unverified MIT (permissive) · 11ff0f39a6fdcd1e · report
subsample JunzheJosephZhu/EEND-for-LENA/eend/feature.py community (archive-listed) unverified MIT (permissive) · 08f6950bcdfafc26 · report

Tasks

ClusteringSpeaker Diarizationspeaker-diarization

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Speaker Diarization CALLHOME SA-EEND (2-spk, adapted) CF 1.68 #2 of 10 Archive leaderboard report
Speaker Diarization CALLHOME SA-EEND (2-spk, adapted) DER(%) 10.76 #2 of 10 Archive leaderboard report
Speaker Diarization CALLHOME SA-EEND (2-spk, adapted) FA 6.68 #2 of 10 Archive leaderboard report
Speaker Diarization CALLHOME SA-EEND (2-spk, adapted) MI 2.40 #2 of 10 Archive leaderboard report
Speaker Diarization CALLHOME SA-EEND (2-spk, no-adapt) CF 1.31 #4 of 10 Archive leaderboard report
Speaker Diarization CALLHOME SA-EEND (2-spk, no-adapt) DER(%) 12.66 #4 of 10 Archive leaderboard report
Speaker Diarization CALLHOME SA-EEND (2-spk, no-adapt) FA 7.42 #4 of 10 Archive leaderboard report
Speaker Diarization CALLHOME SA-EEND (2-spk, no-adapt) MI 3.93 #4 of 10 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections