Overview
End-to-end speech pipeline that transcribes audio with Whisper and powers a voice chatbot/voicebot with realtime streaming STT/TTS. Optional WebSocket or Twilio Programmable Voice enables live, natural conversations; knowledge-grounded answers come from a vector store.
Upload files or speak live: audio is transcribed with Whisper, embedded, and stored for retrieval. A voice chatbot layer (WebSocket/Twilio) supports realtime two-way conversation with low latency and optional barge-in.
Key Features
- Audio transcription with Whisper OpenAI model.
- Realtime voice chatbot/voicebot via WebSocket or Twilio; low-latency STT/TTS.
- GPT-4All or LLM backend for grounded, conversational answers.
- Embedded storage of transcribed text for efficient querying (FAISS).
- User-friendly interface for uploading audio or speaking live.
- Optional call routing and IVR-style flows.
Technologies Used
Whisper OpenAI ModelLangchainGPT-4AllFFmpegVector DatabaseWebSocket (Realtime)Twilio Programmable VoiceStreaming STT/TTS
Challenges
Handling varied input formats, network jitter for realtime STT/TTS, and keeping embeddings in sync for fast retrieval.
Solution
LangChain pipelines for ingestion + retrieval; Whisper for robust STT; WebSocket/Twilio for realtime voice; vector store for grounding.
Results
A seamless voice + chat experience that supports live Q&A, note-taking, and rapid insight extraction from calls/meetings.