
Overview
This project is a voice-based AI agent that can hold spoken conversations and generate personalised, human-like speech. It combines Speech-to-Text, an LLM response engine and Text-to-Speech into a single real-time voice pipeline, with built-in support for voice cloning.
The studio lets users type or speak a script, choose from a large library of multilingual voices, and steer delivery with inline emotion tags such as [happy] or [whispering], non-verbal sounds like [laugh] or [sigh], pause controls and natural-language direction. Custom voices can be cloned and reused across projects.
It is built for businesses that need voice assistants, narration, customer-support agents or branded voice content. The team designed the voice architecture, integrated the audio processing and cloning workflow, and tested the system for natural, near-real-time interaction.
Key Features
Speech-to-Text & Text-to-Speech
Converts spoken input to text and AI responses back to natural speech for full two-way voice conversations.
Voice Cloning
Create custom cloned voices from sample audio and reuse them for branded, personalised speech generation.
Large Multilingual Voice Library
Hundreds of voices across languages such as English, Spanish, Hindi, German, French and more, with search and filters.
Emotion & Delivery Control
Inline emotion tags, non-verbal sounds, pause controls and natural-language direction shape how every line is spoken.
Conversational AI Engine
LLM-driven response generation keeps conversations context-aware and natural during voice interactions.
Near Real-Time Audio Pipeline
Optimised audio processing delivers fast generation, instant playback and downloadable audio output.
Project Details
Developed By
Pristient Orbit
Duration
1 Month
Tech Stack
Pristient Orbit transformed our vision into reality. Their technical expertise and dedication to quality resulted in a product that exceeded our expectations and significantly accelerated our growth.
Happy Client
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