ggml-org/whisper.cpp

tests : add WER benchmarks

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#2.454 aberto em 5 de out. de 2024

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Description

It would be nice to start measuring the word error rate (WER) of whisper.cpp across some representative dataset:

  • short audio
  • long audio
  • english
  • non-english
  • etc.

This will help us catch regressions in the future. I'm not familiar with what is typically used for TTS WER benchmarks, so looking for help from the community.

Guia do colaborador

Pilha de tecnologia
ccpp
Domain
testingmachine learningperformance
Tipo Issue
feature
DifficultyDificuldade de implementação estimada para um novo contribuidor, de 1 para alterações muito pequenas a 5 para trabalho de nível especializado.
3
Tempo estimadoUm intervalo de tempo aproximado para um colaborador experiente investigar, implementar, testar e preparar um pull request.
3-5 days
Status da atividadeQuão disponível o issue aparece agora: novo, ativo, obsoleto, bloqueado ou aguardando entrada do mantenedor.
active
ClarityCom que clareza o issue explica a mudança esperada, os critérios de aceitação e a próxima etapa.
mostly clear
Prerequisites
Basic understanding of whisper.cppFamiliarity with word error rate (WER)Experience with audio datasets
Simpatia para novatosUma pontuação de 1 a 100 que estima o quão acessível este issue é para colaboradores iniciantes.
40
Direção de pesquisa
The issue requests adding WER benchmarks to whisper.cpp. Start by researching standard ASR benchmark datasets (e.g., LibriSpeech, Common Voice) that include short/long audio and English/non English samples. Examine the existing test infrastructure in the repository (likely in tests/ directory or Makefile) to understand how to integrate new benchmarks. Review the comments on the issue for community suggestions on dataset selection and evaluation methodology. Coordinate with maintainers to agree on a concrete set of datasets and metrics before implementing.