snakers4/silero-models
Silero Models: pre-trained text-to-speech models made embarrassingly simple
Silero Models is a collection of pre-trained text-to-speech models designed for simplicity and efficiency, supporting multiple languages including Russian, Ukrainian, Turkic, and Caucasian languages. It offers easy integration via PyTorch Hub or pip, with features like SSML support, fast CPU/GPU inference, and automated stress handling for Russian.
An end-to-end pipeline for Armenian-to-English speech and text conversion, featuring Armenian automatic speech recogn...
ArmTTS-Cpp is a C++ library for Armenian text-to-speech synthesis that acts as a client wrapper for a RapidAPI-hosted...
A speech-to-text model for Armenian language using Wav2Vec2-BERT, fine-tuned on the Armenian Common Voice dataset. Th...
ArmSpeech is an offline Armenian speech recognition library and CLI tool built on Coqui STT, trained on a 15.7-hour A...
A full-stack Armenian speech recognition system with React frontend, Spring Boot backend, and Azure deployment. Inclu...
A comprehensive end-to-end video dubbing pipeline specifically designed for the Armenian language. It integrates stat...