shashikg/WhisperS2T

WhisperS2T is an optimized speech-to-text pipeline for the Whisper model with support for multiple inference engines.

github.com/shashikg/WhisperS2T
shashikg/WhisperS2T homepage screenshot

About shashikg/WhisperS2T

WhisperS2T is an open-sourced speech-to-text pipeline tailored for the Whisper model to provide faster transcription. Whisper is a general-purpose speech recognition model that performs multilingual speech recognition, speech translation, and language identification. The pipeline installs with pip and also provides prebuilt Docker images and Colab notebooks.

Pricing is not clearly stated.

Key features

  • Supports Original OpenAI, HuggingFace FlashAttention2, CTranslate2, TensorRT-LLM backends
  • Integrates custom Voice Activity Detection models
  • Batches small speech segments from various files
  • Loads large audio in background while transcribing
  • Exports transcripts to txt, json, tsv, srt, vtt
Watch out for
  • Multiple language and task decoding has best support with CTranslate2 backend
  • Some hallucination-reduction heuristics work only with CTranslate2 backend
  • Dynamic variable-length input support is marked as experimental

shashikg/WhisperS2T at a glance

Type
Open-source project
Pricing
Not confirmed. Check the site
Details verified
Oct 22, 2026 · Official source
Open source
Yes · Source code
Language
English
Last checked
Oct 5, 2026 · Online when checked
Listed
Oct 5, 2026

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