karapetyanrobert/armenian-text-processor
A Python tool for Armenian speech-to-text conversion and task extraction from transcribed text. It records Armenian speech, converts it to text using Google Speech Recognition, then analyzes the text to automatically identify tasks, categorize them by type (study, go, do, sleep, rest), assign priority based on keywords, and extract time references. Outputs formatted task lists with emojis and saves results as JSON.
ArmSpeechTT is a fine-tuned Whisper model for Armenian speech-to-text, trained on Common Voice data with a webcam dem...
A personal playground repository for testing and comparing Armenian speech recognition models. Contains Jupyter noteb...
A robust Speech-to-Text (STT) service with multi-provider API integration (Google Gemini, ElevenLabs, Whisper, HiSpee...
A speech-to-text model for Armenian language using Wav2Vec2-BERT, fine-tuned on the Armenian Common Voice dataset. Th...
An Armenian-language voice assistant pipeline that handles speech-to-text, intent matching against an FAQ, knowledge-...
ArmSpeech is an offline Armenian speech recognition library and CLI tool built on Coqui STT, trained on a 15.7-hour A...