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whisper-model

Here are 37 public repositories matching this topic...

BanglaSpeech2Text: An open-source offline speech-to-text package for Bangla language. Fine-tuned on the latest whisper speech to text model for optimal performance.

  • Updated Mar 1, 2025
  • Python
whisper-colab-tpu-transcriber

High-performance Google Colab Notebook for fast & accurate audio transcription/translation using OpenAI Whisper. Accelerated on TPUs with PyTorch/XLA. Features an interactive UI for model selection, multi-language support, and long-form audio processing.

  • Updated Jun 8, 2025
  • Jupyter Notebook

🎙️ The open-source AI Voice-to-Text & Universal Speech Studio. Real-time dictation, 48kHz Web Audio DSP noise cancellation, 2-Way Babel Live Translator with authentic Urdu/multilingual Neural TTS, Executive MoM PDF generator, Studio EQ mastering, and 100% offline audio tools. Powered by Gemini 2.0, GPT-4o & Claude 3.7.

  • Updated Aug 28, 2026
  • TypeScript

A real-time voice-to-text and text-to-speech AI pipeline using Whisper, an LLM, and Edge-TTS with tunable parameters for low-latency audio processing and response generation.

  • Updated Sep 24, 2024
  • Python

Free Wispr Flow & Superwhisper alternative. Native macOS voice dictation & speech-to-text. Powered by Sber GigaAM v3 & Whisper. Instant direct input under cursor via ⌥+Space, push-to-talk, offline transcription of any media files.

  • Updated Aug 17, 2026
  • Swift

CLI that turns a YouTube URL into a text transcript: yt-dlp for the audio, Whisper for the transcription, running 100% locally with GPU support.

  • Updated Sep 4, 2026
  • Python

This model predicts grammar scores (1–5) from audio files. It uses Whisper to transcribe speech to text, cleans the text, and extracts features with TF-IDF. A Random Forest Regressor is trained to learn grammar score patterns. Evaluation via Pearson Correlation showed good results.

  • Updated Jun 20, 2025
  • Jupyter Notebook

The Whisper Subtitle Generator leverages OpenAI's Whisper model to generate subtitles from audio and video files. This Python-based tool supports multiple languages and employs advanced audio processing techniques to ensure high accuracy in transcription.

  • Updated Apr 24, 2026
  • Python

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