Emotional TTS
Executive Summary

Emotional TTS System

Phase 1 delivery of an advanced text-to-speech system with emotional speech synthesis capabilities, built for production deployment.

Project Purpose

This project delivers a software component for generating emotionally expressive speech from text. It enables applications to produce natural-sounding voice output with controllable emotions — a critical capability for conversational AI, virtual assistants, gaming NPCs, and interactive media.

Business Value

Enhanced User Experience

Emotionally expressive voice output creates more engaging and natural interactions

Competitive Advantage

Emotion-controllable TTS is a cutting-edge capability with limited availability

Scalable Deployment

Docker-based architecture enables easy deployment and scaling on any infrastructure

API-First Design

RESTful API allows integration into any application or workflow

What Has Been Delivered

Complete TTS inference engine with IndexTTS2 model integration
8 distinct emotion categories (Happy, Angry, Sad, Afraid, Disgusted, Melancholic, Surprised, Calm)
Two emotion control modes: vector-based and reference audio-based
Real-time streaming audio generation
Batch processing for multiple text-audio pairs
Zero-shot speaker cloning from ~5 seconds of reference audio
RESTful API with 9 endpoints (FastAPI)
Docker containerization for production deployment
Automatic file cleanup and job management
CORS-enabled API for web integration
Comprehensive evaluation across 3 datasets with 129 audio samples
This documentation and demo portal

Technical Maturity

AspectStatusDetails
Model IntegrationCompleteIndexTTS2 fully integrated and tested
API DevelopmentComplete9 endpoints, streaming support, async jobs
Emotion ControlComplete8 emotions, 2 control methods, intensity control
Docker DeploymentCompleteGPU-enabled container, production-ready
EvaluationComplete3 datasets, 129 samples, qualitative results
DocumentationCompleteTechnical docs, API ref, demo portal
Multi-languagePhase 2Currently English only; Persian planned for Phase 2

What You Can Test Now

Interactive Demo

Upload a voice sample, select an emotion, enter text, and hear the result immediately.

Try the Demo

Pre-generated Samples

Browse 129 pre-generated audio samples across 3 datasets and 7 emotions.

View Results

Risks & Limitations

GPU Dependency

Production deployment requires NVIDIA GPU for acceptable inference speed

English Only

Phase 1 supports English only; Persian and other languages planned for Phase 2

Model Size

Model checkpoints are several GB; initial deployment requires significant disk space

Speaker Reference Quality

Output quality depends heavily on the quality and length of reference audio

Next Development Phases

Phase 2

  • Persian language support
  • RTL interface support
  • Additional emotion categories
  • Improved model quality

Phase 3

  • Multi-speaker synthesis
  • Fine-tuning pipeline
  • Performance optimization
  • Production monitoring

Resources

Technical Documentation
API Reference
Installation Guide