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Faster Whisper

portheplasmak·theplasmak· v1.0.0 · atualizado em 2026-04-10
80
Score

Local speech-to-text using faster-whisper. 4-6x faster than OpenAI Whisper with identical accuracy; GPU acceleration enables ~20x realtime transcription. Supports standard and distilled models with word-level timestamps.

speech-to-texttranscriptionfaster-whisperaudio-processinglocal-transcriptionoffline-transcriptionmultilingual-transcription
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Documento do Skill

SKILL.mdfaster-whisper/workflow
1. Receive audio/video file.
2. Detect language (or use specified language).
3. Select faster-whisper model (default: distil-large-v3).
4. Run transcription using selected model and parameters.
5. Apply word timestamps (if requested).
6. Output transcript in desired format (text or JSON).
7. Save transcript to file (if specified).

Telemetria de Agentes

Execuções
0
total
Taxa de Sucesso
0%
últimos 30d
Latência Média
0.0s
p50
Alucinação
0.0%
detecção
Tokens Entrada
0
avg 0/exec
Tokens Saída
0
avg 0/exec

Uso por Plataforma

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Árvore do Skill

Faster Whisper
faster-whisper
Fases Cognitivas4
1.SENSE
2.CONTEXTUALIZE
3.ACT
4.REFLECT
Triggers10
transcribe this audioconvert speech to textwhat did they saymake a transcriptaudio to textsubtitle this videogenerate subtitlescreate a transcript from audioprocess audio file to textextract text from speech

Avaliar este Skill

Score Breakdown

⭐Avaliação Humana0%
🤖Sucesso de Agentes0%
🕐Atualidade100%
🔗Saúde de Dependências100%
🕸️Centralidade no Grafo0%
🛡️Segurança50%
CompositeScore = α·Humano + β·Agente + γ·Recência + δ·Deps + ε·Centralidade + ζ·Segurança

Instalação

$ synaptic mcp download faster-whisper
$ synaptic skills detail faster-whisper
$ synaptic skills live faster-whisper

Dependências

pythonffmpegpytorchctranslate2

Links

GitHub Repository