Text-to-Speech Setup
Configure voice synthesis services to enable AI voice responses in Talk Buddy. This guide covers both online and local TTS (Text-to-Speech) service options for natural-sounding conversation practice.
Understanding TTS Services
What is Text-to-Speech?
TTS services convert AI text responses into spoken voice output:
- AI voice responses: Hear what the AI character says during practice
- Natural conversations: Voice output makes dialogue feel more realistic
- Multiple voices: Different characters can have distinct voices
- Language support: Various languages and accents (service-dependent)
Service Options
Online Services (Default)
Pre-configured services: Ready to use immediately
- Pros: No setup required, high-quality voices, multiple languages
- Cons: Requires internet, potential privacy concerns, usage limits
- Best for: Quick start, testing, occasional practice
Local Services (Recommended for Privacy)
Self-hosted services: Run on your own computer
- Pros: Complete privacy, offline capability, no usage limits
- Cons: Requires setup, uses system resources, may have fewer voice options
- Best for: Regular practice, privacy-conscious users, offline environments
Quick Start (Online Services)
Default Configuration
Talk Buddy comes pre-configured with working TTS services:
Check Current Status
- Look at status footer: TTS indicator should be green (●)
- If green: You’re ready for voice-enabled practice
- If red/gray: Follow troubleshooting steps below
Test TTS Service
- Go to Settings: Click “Settings” in sidebar
- Find TTS section: Look for Text-to-Speech configuration
- Click “Test TTS”: Verify service is working
- Listen for voice: Should hear test speech output
- Check audio quality: Verify voice is clear and understandable
Troubleshooting Online Services
Connection Issues
- Check internet: Verify stable connection
- Firewall settings: Ensure Talk Buddy can access external services
- Service status: Online services may occasionally be unavailable
Audio Problems
- System volume: Check computer audio settings and volume
- Audio device: Verify correct speakers/headphones selected
- Driver issues: Update audio drivers if needed
Local TTS Setup (Speaches)
Why Use Local Services?
Privacy benefits:
- No data sent to external servers
- Complete offline functionality
- No usage limits or quotas
Performance benefits:
- Faster response times (no network latency)
- Consistent availability
- Customizable voices for your use case
Installing Speaches
System Requirements
- Operating System: Windows 10+, macOS 10.14+, Linux (Ubuntu 18.04+)
- RAM: 4GB minimum, 8GB recommended
- Storage: 2-10GB for voice models
- CPU: Modern processor (last 5 years recommended)
Installation Steps
Option 1: Docker Installation (Recommended)
# Pull the Speaches Docker image
docker pull ghcr.io/tts-ai/speaches:latest
# Run Speaches container with TTS enabled
docker run -d \
--name speaches \
-p 8000:8000 \
ghcr.io/tts-ai/speaches:latest
Option 2: Python Installation
# Install Python 3.8+ if not already installed
python --version
# Install Speaches via pip
pip install speaches
# Start Speaches server with TTS
speaches serve --host 0.0.0.0 --port 8000 --enable-tts
Option 3: Binary Installation
- Download: Get binary from Speaches releases
- Extract: Unzip to preferred location
- Run: Execute the binary to start server
- Configure: Set to run on port 8000 with TTS enabled
Configuring Talk Buddy for Local TTS
Update Service URL
- Open Talk Buddy Settings
- Find TTS Service URL field
- Change to local address:
http://localhost:8000
- Save settings
Test Local Connection
- Click “Test TTS” in settings
- Verify connection: Should show successful connection
- Test voice synthesis: Should hear test speech
- Check status footer: TTS indicator should be green
Speaches Voice Configuration
Voice Model Selection
Speaches supports multiple TTS models:
Fast Models (Lower quality, faster synthesis)
- Good for: Real-time conversation, older hardware
- Model examples:
speaches-ai/piper-en_US-amy-low
, microsoft/speecht5_tts
High-Quality Models (Better voices, slower synthesis)
- Good for: High-quality practice, powerful hardware
- Model examples:
speaches-ai/piper-en_US-lessac-high
, suno/bark
Voice Characteristics
Configure different voices for scenarios:
# Example: Configure female voice
speaches serve --tts-voice "en_US-amy-medium" --port 8000
# Example: Configure male voice
speaches serve --tts-voice "en_US-ryan-high" --port 8000
Language Configuration
Set up for your language:
# Example: Configure for Spanish TTS
speaches serve --tts-language es --tts-voice "es_ES-marta-medium" --port 8000
# Example: Configure for French TTS
speaches serve --tts-language fr --tts-voice "fr_FR-siwis-medium" --port 8000
Advanced TTS Configuration
Create configuration file speaches.yaml
:
server:
host: "0.0.0.0"
port: 8000
stt:
enabled: true
model: "Systran/faster-whisper-medium"
tts:
enabled: true
model: "speaches-ai/piper-en_US-lessac-medium"
voice_speed: 1.0
voice_pitch: 0.0
output_format: "wav"
Advanced TTS Configuration
Multiple Voice Setup
Character-Specific Voices
Configure different voices for different AI characters:
- Interview scenarios: Professional, clear voice
- Customer service: Friendly, approachable voice
- Technical scenarios: Authoritative, confident voice
- Casual conversation: Relaxed, conversational voice
Voice Switching
In Talk Buddy settings:
- Primary voice: Default voice for most scenarios
- Alternative voices: Different voices for specific contexts
- Test voices: Verify each voice works well for intended use
- Document preferences: Keep track of which voices work best
Hardware Optimization
For better local TTS performance:
- Use SSD storage: Faster model loading
- Increase RAM: Better model caching
- Use GPU acceleration: If supported by your TTS service
- Close other applications: Free resources for voice synthesis
Voice Quality vs Speed
Choose appropriate balance:
- Fast models: Real-time conversation priority
- Quality models: Natural-sounding voice priority
- Balanced models: Good compromise for most uses
- Specialized models: Optimized for specific languages or use cases
Security and Privacy
Local Service Security
Secure your local installation:
- Firewall configuration: Only allow local connections
- Network isolation: Keep TTS service on local network only
- Regular updates: Maintain current software versions
- Access control: Restrict who can access the service
Data Privacy
Understand data handling:
- Local processing: No data leaves your computer
- No logging: Configure services to not store text/audio
- Temporary processing: Text processed in memory only
- User control: You control all data and processing
Troubleshooting TTS Issues
Common Problems
No Audio Output
Symptoms: Silent AI responses, no voice heard
Solutions:
- Check system volume: Verify computer audio not muted
- Test audio device: Confirm speakers/headphones work with other apps
- Check TTS service: Verify service is running and connected
- Test different voice: Try alternative voice models
Poor Voice Quality
Symptoms: Robotic voice, audio artifacts, unclear speech
Solutions:
- Try different voice model: Some models sound more natural
- Check audio settings: Verify sample rate and format settings
- Update audio drivers: Ensure latest audio drivers installed
- Reduce system load: Close other applications using audio
Service Connection Errors
Symptoms: Red TTS indicator, connection timeouts
Solutions:
- Verify service running: Check if Speaches or online service is available
- Test network connectivity: Ensure internet access for online services
- Check firewall: Confirm Talk Buddy can access TTS service
- Restart services: Stop and start TTS service, restart Talk Buddy
Slow Voice Generation
Symptoms: Long delays between AI text and voice output
Solutions:
- Use faster models: Switch to smaller, quicker TTS models
- Optimize hardware: Close other applications, upgrade hardware
- Check network: Ensure stable, fast internet for online services
- Local processing: Switch to local TTS service for better performance
Advanced Troubleshooting
Log Analysis
Check service logs for errors:
# View Speaches logs
docker logs speaches
# Check system audio logs (macOS)
log show --predicate 'subsystem == "com.apple.coreaudio"' --last 5m
# Windows audio troubleshooting
# Use Windows Audio troubleshooter in Settings
Network Diagnostics
Test service connectivity:
# Test local Speaches service
curl http://localhost:8000/health
# Test TTS endpoint
curl -X POST http://localhost:8000/tts \
-H "Content-Type: application/json" \
-d '{"text": "Hello, this is a test", "voice": "en_US-amy-medium"}'
Monitor resource usage:
- CPU usage: TTS processing should use <30% CPU
- Memory usage: Voice models require 1-3GB RAM typically
- Network usage: Online services use bandwidth during synthesis
- Audio latency: Monitor delay between text and voice output
Service Comparison
Online vs Local TTS
Aspect |
Online Services |
Local Services |
Setup |
Ready immediately |
Requires installation |
Privacy |
Data sent externally |
Complete privacy |
Voice Quality |
Often excellent |
Varies by model |
Speed |
Network dependent |
Hardware dependent |
Cost |
May have usage limits |
Free after setup |
Offline |
Requires internet |
Works offline |
Voices |
Many options |
Depends on models |
Recommended Configurations
For Students
- Start with: Default online services
- Upgrade to: Local services if practicing frequently
- Best for: Learning and experimenting with voice-enabled practice
For Teachers
- Recommended: Local services for privacy and reliability
- Classroom use: Local services avoid internet dependency
- Best for: Consistent, private classroom experience
For Professionals
- Recommended: Local services for confidential practice
- Corporate use: Local services meet security requirements
- Best for: Professional development with privacy
Quick Setup Checklist
Online TTS (5 minutes)
Local TTS (45 minutes)
Troubleshooting (15 minutes)
With proper TTS setup, your Talk Buddy conversations become immersive and natural. Choose the option that best fits your privacy needs and desired voice quality! 🔊
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