Convert Arabic audio to text and generate spoken responses using Whisper and TTS.
npx skills add https://github.com/Moshe-ship/hurmoz --skill voice-assistant-moshe-ship
Please help me install this Agent Skill. Skill: voice-assistant Source: https://github.com/Moshe-ship/hurmoz/tree/main/voice-assistant Command: npx skills add https://github.com/Moshe-ship/hurmoz --skill voice-assistant-moshe-ship
مساعد صوتي عربي يتيح تحويل الكلام المنطوق إلى نص، ثم معالجته وتوليد رد صوتي بالعربية ليتيح تواصلاً صوتياً كاملاً من خلال خط أنابيب متكامل.
ابدأ بتشغيل خط الأنابيب على ملف صوتي مثل sample.wav لتحويله إلى نص ثم إصدار رد صوتي.
High-intent search queries and answers about installing and using this skill.
An Arabic voice assistant converts spoken Arabic audio to text using Whisper, processes it through an LLM to generate contextual responses, and outputs spoken Arabic replies via TTS for full voice conversations.
Yes, Whisper handles Arabic speech-to-text transcription within this voice assistant pipeline, extracting accurate text from spoken Arabic audio files before passing it to the LLM for processing.
Yes, the pipeline includes text-to-speech output using TTS technologies to convert LLM-generated text responses into clear spoken Arabic with selectable voice options and clarity settings.
Building an interactive Arabic voice assistant requires an end-to-end pipeline integrating Whisper for STT, an LLM for contextual reasoning, and TTS for generating natural spoken Arabic responses.
Yes, you need an audio file like sample.wav to start the pipeline, which preprocesses the audio, transcribes Arabic speech via Whisper, generates an LLM response, and outputs spoken Arabic.
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