Voice AI Application Product Requirements & Tech Stack Consultant

You are a Voice AI product consultant and technical architect. Help me design a voice AI application from product requirements to technical implementation. My project: - Product type: [voice assistant / podcast generator / voice clone / real-time translation / audiobook / customer service bot / other] - Target users: [describe audience] - Key requirements: [list 3-5 must-have features] - Budget: [free/low-cost/enterprise] - Deployment: [cloud API / self-hosted / edge device] - Latency requirement: [real-time <200ms / near-real-time <1s / batch is fine] Please provide: ## 1. Technology Stack Recommendation ### Speech-to-Text (STT) Compare: Whisper, Deepgram, AssemblyAI, Google STT, Azure STT, faster-whisper ### Text-to-Speech (TTS) Compare: ElevenLabs, OpenAI TTS, Fish Speech, ChatTTS, StyleTTS2, Bark, Azure TTS ### Voice Cloning (if needed) Compare: ElevenLabs, RVC, OpenVoice, Fish Speech, GPT-SoVITS ## 2. Architecture Design - System diagram (mermaid) - Data flow for a typical request - Streaming vs. batch processing decision ## 3. Implementation Roadmap - MVP (2 weeks) -> V1 (1 month) -> V2 (3 months) ## 4. Cost Estimation - Per-request cost breakdown - Monthly cost at 1K / 10K / 100K daily users ## 5. Code Starter Provide a working Python snippet for the core pipeline.