Search Results for "python basic project"

Insanely Fast Whisper is a high-performance command-line tool designed to dramatically accelerate speech-to-text transcription using OpenAI’s Whisper models on local hardware. It leverages modern optimizations such as batch processing, mixed precision, and advanced attention mechanisms like Flash Attention to significantly reduce inference time while maintaining high transcription accuracy. The project is built on top of the Transformers ecosystem and integrates with libraries such as...

DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers. DeepSpeech is an open-source Speech-To-Text engine, using a model trained by machine learning techniques based on Baidu's Deep Speech research paper. Project DeepSpeech uses Google's TensorFlow to make the implementation easier. A pre-trained English model is available for use and can be downloaded following the...

Automated speech recognition software is extremely cumbersome. This project's aim is to incrementally improve the quality of an open-source and ready to deploy speech to text recognition system. Runs on Windows using the mdictate.exe, but the core workings are found in the mdictate.py script which should work on Windows/Linux/OS X. In version 1.0, we use pocketsphinx' default setup with a basic graphic interface.

Basic Word Processor was something that started out as a small project, but has continued to grow in features and usefulness. It was designed to be easy to use, but also incorporate some features found in more advanced word processors. Basic Word Processor supports both .rtf and .txt If you notice a bug or have a suggestion, please either leave a note in the discussion page or email tobycodes@gmail.com.