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what is kaldi_voxceleb_pytorch fr?

thescrabi/kaldi_voxceleb_pytorch — explained in plain English

Analysis updated 2026-07-17 · repo last pushed 2023-07-06

★ 5PythonAudience · researcherComplexity · 5/5DormantSetup · hard

tl;dr

A PyTorch-based speaker identification and diarization system, trained on the VoxCeleb dataset, that figures out who is talking in an audio recording.

vibe map

mindmap
  root((repo))
    What it does
      Speaker identification
      Speaker diarization
      Voice pattern learning
    Tech stack
      Python
      PyTorch
      Kaldi
    Use cases
      Voice authentication research
      Speaker aware transcription
      Privacy speaker detection
    Audience
      Speech researchers
      ML engineers
    Extras
      Angular Softmax
      Attention layer

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what do people make with this?

VIBE 1

Train a neural network to recognize which known speaker is talking in an audio clip.

VIBE 2

Split a long recording into segments by speaker (diarization).

VIBE 3

Experiment with Angular Softmax and attention layers for speaker recognition research.

VIBE 4

Build a speaker-aware transcription or voice authentication prototype.

what's the stack?

PythonPyTorchKaldiLinux

how it stacks up fr

thescrabi/kaldi_voxceleb_pytorch1ncendium/aibusteraaronmayeux/ha-hurricane-tracker
Stars555
LanguagePythonPythonPython
Last pushed2023-07-06——
MaintenanceDormant——
Setup difficultyhardmoderateeasy
Complexity5/53/52/5
Audienceresearcherops devopsgeneral

Figures from each repo's GitHub metadata at analysis time.

how do i run it?

Difficulty · hard time til it works · 1day+

Requires Kaldi, PyTorch with GPU support, specific datasets, and Linux, aimed at researchers, not casual users.

prompts (copy fr)

prompt 1
Explain how Angular Softmax helps a speaker recognition model compared to standard softmax.
prompt 2
Walk me through setting up Kaldi and PyTorch with GPU support to run this speaker identification project.
prompt 3
How would I adapt this VoxCeleb-trained model to identify speakers in my own audio dataset?
prompt 4
What does speaker diarization mean and how does this project perform it?

Frequently asked questions

what is kaldi_voxceleb_pytorch fr?

A PyTorch-based speaker identification and diarization system, trained on the VoxCeleb dataset, that figures out who is talking in an audio recording.

What language is kaldi_voxceleb_pytorch written in?

Mainly Python. The stack also includes Python, PyTorch, Kaldi.

Is kaldi_voxceleb_pytorch actively maintained?

Dormant — no commits in 2+ years (last push 2023-07-06).

How hard is kaldi_voxceleb_pytorch to set up?

Setup difficulty is rated hard, with roughly 1day+ to a first successful run.

Who is kaldi_voxceleb_pytorch for?

Mainly researcher.

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