3D-convolutional-speaker-recognition

AI

speaker recognition

SHOW HN2017

59points
5comments
#716of 2,242 in 2017
Top 32%of 2017 by points

How HN took it

QuietFewer than 5 comments about the project

0 positive, 1 neutral or asking, 0 mixed, 1 critical, out of 2 comments about the project.

Docs: 0 for, 1 against

The thread, comment by comment

Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.

positive neutral or mixed critical about another commenter or something else the maker

What HN said

Objections

  • Not compared against NIST Speaker Recognition Evaluation benchmarks; dataset unknown in the literature

    From 1 comment
    • Have you compared your system to state of the art results on NIST Speaker Recognition Evaluations? I'm asking because the datasets released for these evaluations every two years…
      woodson on HN

Requests

  • Compare results against NIST Speaker Recognition Evaluation datasets

    From 1 comment
    • Have you compared your system to state of the art results on NIST Speaker Recognition Evaluations? I'm asking because the datasets released for these evaluations every two years…
      woodson on HN
  • Future improvements for open set speaker diarization

    From 1 comment
    • Any hints about future improvements for open set speaker diarization?
      skndr on HN

Questions

  • Has the system been compared to state of the art on NIST evaluations?

    From 1 comment
    • Have you compared your system to state of the art results on NIST Speaker Recognition Evaluations? I'm asking because the datasets released for these evaluations every two years…
      woodson on HN

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