Skip to content

CHANGELOG.md

Latest commit

 

History

History
460 lines (358 loc) · 15.1 KB

CHANGELOG.md

File metadata and controls

460 lines (358 loc) · 15.1 KB

Changelog

All notable changes to the Groq Speech Demo Solution will be documented in this file.

Note: This is a demonstrative solution for educational purposes, not a production-grade system.

[2.2.0] - 2025-10-04

🎉 Continuous Mode Stability & Performance Release

This release focuses on fixing critical issues in continuous microphone mode, improving Voice Activity Detection, and enhancing user experience with better feedback and device information.

✨ Added

Device Information

  • CPU/GPU Detection - New /api/v1/device-info endpoint provides hardware information
  • Processing Time Estimates - Display estimated diarization times based on device (CPU: 2-3 min, GPU: 30-60 sec)
  • Performance Warnings - User guidance on CPU vs GPU vs Groq LPU performance for diarization
  • Device-Aware UI - Frontend displays device type during diarization processing

Enhanced VAD System

  • Adaptive Silence Thresholds - Different thresholds for normal (0.003) vs silence mode (0.02)
  • Audio Content Validation - Minimum RMS threshold (0.015) to filter background noise
  • 3-Second Silence Detection - Optimal balance between responsiveness and accuracy
  • Silence Mode State - Clear state management to prevent false audio detection
  • Real-Time Status Updates - Visual indicators show "Audio detected", "Silence mode", or "NEW AUDIO STREAM"

🐛 Fixed

Critical Continuous Mode Issues

  • Duplicate Audio Processing - Fixed race condition causing same audio to be transcribed multiple times
  • Buffer Management - Synchronous buffer clearing prevents audio accumulation across chunks
  • Empty Transcriptions - Audio content validation prevents "thank you" hallucinations from silence
  • Stop Recording Behavior - Only processes remaining audio, not previously processed chunks
  • Background Noise False Triggers - Higher thresholds in silence mode filter ambient noise

Audio Detection Issues

  • Silence Detection Sensitivity - Now correctly distinguishes conversation pauses (<3s) from actual silence (>3s)
  • Audio-to-Silence Transition Lag - Reduced analysis window from 5s to 2s for faster state changes
  • False Audio Detection - Implemented stricter thresholds when in silence mode

🔄 Changed

Buffer Management Architecture

  • Synchronous Clearing - Buffer reset happens synchronously before async API calls
  • Intelligent Chunk Validation - Checks for actual speech content before processing
  • State Machine Implementation - Clear state transitions between recording → silence → waiting for audio

VAD Thresholds

Normal Recording Mode:
- RMS > 0.003, Max > 0.01 (sensitive for speech detection)

Silence Mode (after chunk processing):
- RMS > 0.02, Max > 0.05 (10x higher, filters background noise)

Audio Content Validation:
- RMS ≥ 0.015 (minimum for actual speech content)

UI/UX Improvements

  • Processing Status - Clear indication of chunks in processing queue
  • Chunk Numbering - Console logs show chunk numbers for debugging
  • Visual Feedback - Real-time display of audio levels and detection state
  • Status Messages - Detailed status like "Audio detected (pause 1.2s)" or "Silence mode - waiting for audio"

📚 Documentation

Updated Documentation

  • ARCHITECTURE.md - Updated continuous mode flow with buffer management details
  • UI README - Added VAD section with threshold details and behavior description
  • docs/README.md - Updated performance optimizations section
  • API Endpoints - Documented new /api/v1/device-info endpoint

New Diagrams

  • Continuous Mode Sequence - Detailed mermaid diagram showing buffer management flow
  • State Transitions - Visual representation of silence mode state machine

🚀 Performance

Improvements

  • Zero Duplicate Processing - Each audio chunk processed exactly once
  • Reduced False Positives - Adaptive thresholds prevent background noise triggering
  • Faster State Transitions - 2-second analysis window for quicker silence-to-audio detection
  • Optimized Buffer Operations - Direct array assignment for atomic buffer clearing

🔧 Technical Details

Files Modified

  • examples/groq-speech-ui/src/lib/continuous-audio-recorder.ts - Buffer management and chunk processing
  • examples/groq-speech-ui/src/lib/client-vad-service.ts - Adaptive thresholds and silence mode
  • examples/groq-speech-ui/src/components/EnhancedSpeechDemo.tsx - Device info integration
  • api/server.py - New device-info endpoint
  • deployment/docker/package.docker.json - Added dotenv dependency

Breaking Changes

  • None - All changes are backward compatible

📊 Testing

Verified Scenarios

  • ✅ Continuous transcription with natural pauses
  • ✅ Continuous translation with multiple speakers
  • ✅ Long-form audio with multiple silence periods
  • ✅ Background noise environments
  • ✅ Stop recording with partial audio
  • ✅ Diarization in continuous mode (CPU and GPU)

[2.1.0] - 2025-01-15

🎉 Major Release - Well-Tested Demonstration Platform

This release represents a complete transformation of the Groq Speech Library, introducing comprehensive real-world demos, well-tested demonstration API server, and enhanced deployment architecture.

✨ Added

Production Deployment

  • GCP Cloud Run Deployment - Serverless deployment with auto-scaling
  • GKE GPU Deployment - Kubernetes deployment with GPU acceleration
  • Docker Compose - Local development with hot reload
  • Environment Management - Centralized configuration with .env files

Enhanced Architecture

  • 3-Layer Architecture - CLI, API, and UI layers with clear separation
  • Client-Side VAD - Real-time voice activity detection for better performance
  • Unified Components - Single classes for multiple processing modes
  • REST API Only - Simplified architecture without WebSocket complexity

Advanced Features

  • Speaker Diarization - Multi-speaker detection with Pyannote.audio
  • GPU Acceleration - CUDA support for fast diarization processing
  • Intelligent Chunking - Automatic handling of large audio files
  • Real-time Processing - Continuous microphone processing with VAD

Developer Experience

  • Comprehensive Documentation - Updated architecture and deployment guides
  • API Reference - Complete Library documentation
  • Testing Guide - Postman collection for API testing
  • Debugging Guide - Safe debugging options for development

🔄 Changed

Architecture Improvements

  • Simplified API - Removed WebSocket endpoints, focused on REST
  • Unified Audio Processing - Single components for multiple modes
  • Client-Side VAD - Moved from server-side to client-side for real-time performance
  • Configuration Management - Centralized with factory methods

Deployment Enhancements

  • Docker Optimization - Multi-stage builds for smaller images
  • Cloud Integration - GCP Cloud Run and GKE deployment options
  • Environment Variables - Centralized configuration management
  • Health Checks - Comprehensive monitoring and health endpoints

🗑️ Removed

Cleaned Up Components

  • WebSocket Endpoints - Removed in favor of REST API
  • Redundant Examples - Cleaned up outdated demo files
  • Complex Configuration - Simplified environment management
  • Unused Dependencies - Removed unnecessary packages

🛠️ Technical Improvements

Performance

  • Client-Side VAD - Zero latency for real-time decisions
  • Unified Components - Reduced code duplication
  • Memory Management - Optimized for both short and long audio
  • GPU Support - Automatic detection and usage

Reliability

  • Error Handling - Comprehensive error responses
  • Health Monitoring - Built-in health checks
  • Logging - Structured logging throughout
  • Testing - Comprehensive test coverage

Security

  • API Key Management - Secure secret handling
  • Input Validation - Comprehensive request validation
  • CORS Configuration - Proper cross-origin handling
  • Container Security - Non-root containers and minimal images

[2.0.0] - 2024-01-01

🎉 Major Release - Complete Architecture Overhaul

This release represents a complete transformation of the Groq Speech Library, introducing comprehensive real-world demos, well-tested demonstration API server, and enhanced deployment architecture.

✨ Added

New Demo Applications

  • CLI Speech Recognition (examples/cli_speech_recognition.py)

    • Command-line interface with single and continuous modes
    • Transcription and translation capabilities
    • Configurable chunking parameters
    • Real-time speech recognition from microphone

  • Web UI Demo (examples/groq-speech-ui/)

    • Next.js frontend with real-time speech recognition
    • Single-shot and continuous recognition modes
    • Performance metrics and visualizations
    • Modern, responsive interface with Tailwind CSS

Production API Server

  • FastAPI Server (api/server.py)
    • REST API endpoints for speech recognition
    • WebSocket real-time recognition
    • Comprehensive error handling and validation
    • Health monitoring and metrics
    • Interactive API documentation at /docs
    • CORS middleware and security features

Enhanced Deployment Architecture

  • Multi-service Docker Compose (deployment/docker/docker-compose.yml)

    • FastAPI server (port 8000)
    • Next.js frontend (port 3000)
    • Redis for session management
    • Nginx load balancer
    • Prometheus monitoring
    • Grafana visualization

  • Docker Configurations

    • Main Dockerfile for API server
    • Frontend Dockerfile (examples/groq-speech-ui/Dockerfile)
    • Development and testing profiles
    • Health checks and security configurations

Comprehensive Documentation

  • Architecture Design (docs/architecture-design.md)

    • Complete system architecture overview
    • Component details and data flow
    • Security considerations
    • Performance optimization strategies

  • Configuration Guide (groq_speech/env.template)

    • Environment-based configuration
    • Configurable chunking parameters
    • Performance tuning options
    • Audio processing settings

🔄 Changed

Core Library Improvements

  • Enhanced error handling and validation
  • Improved configuration management
  • Better audio device handling
  • More robust recognition results

Documentation Updates

  • Updated README with new demos and deployment options
  • Enhanced API reference documentation
  • Added comprehensive examples and tutorials
  • Improved troubleshooting guides

Project Structure

  • Reorganized examples directory with focused demos
  • Enhanced API server structure
  • Improved deployment configurations
  • Better separation of concerns

🗑️ Removed

Cleaned Up Examples

  • Removed redundant and outdated examples
  • Deleted basic demo files (demo.py, debug_sdk.py)
  • Cleaned up test configuration files
  • Removed obsolete real-world applications

Simplified Structure

  • Streamlined project organization
  • Removed unnecessary complexity
  • Focused on well-tested demonstration components

🛠️ Technical Improvements

Dependencies

  • Added FastAPI and Uvicorn for API server
  • Added Flask and Flask-SocketIO for web demo
  • Added Pydantic for data validation
  • Updated all dependencies to latest stable versions

Configuration

  • Enhanced environment variable support
  • Improved configuration validation
  • Better default settings
  • More flexible deployment options

Security

  • Non-root Docker containers
  • API key validation
  • CORS configuration
  • Input sanitization
  • Error message sanitization

Performance

  • Async/await support in API server
  • Connection pooling
  • Redis caching support
  • Health monitoring
  • Resource optimization

📊 New Features

Real-time Recognition

  • WebSocket-based real-time transcription
  • Live confidence scoring
  • Language detection
  • Word-level timestamps
  • Semantic segmentation

Professional Tools

  • Export functionality (TXT, JSON)
  • Session management
  • Statistics and analytics
  • File-based processing
  • Batch processing capabilities

Modern UI/UX

  • Responsive web design
  • Desktop GUI applications
  • Real-time visual feedback
  • Professional styling
  • Accessibility features

🚀 Deployment Options

Local Development

  • Simple setup with virtual environment
  • Direct Python execution
  • Development server with hot reload

Docker Deployment

  • Single container deployment
  • Multi-service orchestration
  • Well-tested demonstration configurations
  • Health monitoring

Cloud Deployment

  • Kubernetes manifests
  • AWS ECS support
  • Google Cloud Run
  • Azure Container Instances

🔧 Configuration

Environment Variables

  • GROQ_API_KEY (required)
  • GROQ_API_BASE_URL (optional)
  • DEFAULT_LANGUAGE (optional)
  • LOG_LEVEL (optional)
  • ENVIRONMENT (optional)

API Endpoints

  • POST /api/v1/recognize - Single-shot recognition
  • POST /api/v1/recognize-file - File-based recognition
  • GET /api/v1/models - Available models
  • GET /api/v1/languages - Supported languages
  • GET /health - Health check
  • ws://localhost:8000/ws/recognize - WebSocket recognition

📈 Monitoring

Health Checks

  • API health endpoint
  • Docker health checks
  • Kubernetes readiness probes
  • Comprehensive error reporting

Metrics

  • Request/response metrics
  • Recognition success rates
  • Response time distributions
  • Error rate monitoring
  • Resource utilization

🛡️ Security

API Security

  • API key validation
  • Rate limiting support
  • CORS configuration
  • Input validation
  • Error sanitization

Container Security

  • Non-root users
  • Minimal base images
  • Security scanning
  • Network isolation

📚 Documentation

Comprehensive Guides

  • Architecture design documentation
  • Deployment guide for all environments
  • API reference with examples
  • Troubleshooting guide
  • Contributing guidelines

Examples and Tutorials

  • Real-world demo applications
  • Step-by-step tutorials
  • Best practices
  • Common use cases

🔄 Migration Guide

From v1.x to v2.0

  1. Update Dependencies

    pip install -r requirements.txt --upgrade

  2. Update Configuration

    • Ensure GROQ_API_KEY is set
    • Review new environment variables
    • Update deployment configurations

  3. Test New Features

    • Try the new demo applications
    • Test the API server
    • Verify deployment options

  4. Update Code

    • Review API changes
    • Update import statements if needed
    • Test with new features

🎯 What's Next

Planned Features

  • gRPC support for high-performance communication
  • GraphQL API for flexible queries
  • Mobile Librarys (Android/iOS)
  • Advanced analytics and insights
  • Custom model support

Architecture Evolution

  • Service mesh integration
  • Event streaming with Kafka
  • Machine learning pipeline
  • Edge computing capabilities
  • Multi-tenancy support

[1.0.0] - 2023-12-01

Initial Release

  • Basic speech recognition functionality
  • Core Library components
  • Simple examples
  • Basic documentation

For detailed information about each release, see the GitHub releases page.