#Speech-To-Text

DeepSpeech is an open-source speech-to-text engine powered by machine learning, inspired by Baidu's Deep Speech research. It employs TensorFlow, providing comprehensive documentation for installation, usage, and model training at deepspeech.readthedocs.io. Access the latest releases, pre-trained models, and contribution guidelines on GitHub. This project is ideal for developers in search of reliable and scalable speech recognition solutions.

Explore high-quality speech-to-text (STT) and text-to-speech (TTS) models designed for simplicity and performance. These models enable seamless, natural-sounding speech conversion across multiple languages, including Russian, English, German, and Spanish. Enhance text readability with automatic punctuation and capitalization, all with minimal setup using PyTorch, pip, or manual caching. Achieve efficient and reliable outcomes suited for diverse speech and text processing applications.