Local voice assistant stutter fixed by sequential LLM and TTS processing

A developer encountered stuttering issues with their local offline voice assistant, which ran an LLM and a Text-to-Speech (TTS) model on the same GPU. The problem stemmed from the TTS engine falling behind the LLM's generation process, particularly on the first sentence, causing audio buffer underruns. The solution involved modifying the pipeline to have the LLM generate one sentence at a time and pause, allowing the TTS to synthesize it completely before the LLM continued, thus maintaining a smooth audio output. AI

IMPACT Demonstrates a practical approach to synchronizing LLM and TTS models on shared hardware for smoother real-time voice applications.

RANK_REASON Developer's personal project troubleshooting and solution.

Read on dev.to — LLM tag →

• ESP32
• Gemma 4 E4B
• llama.cpp
• Microsoft Windows
• PyTorch TTS
• Qwen3-TTS
• RTX 4060 Laptop GPU

• product
• infra

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →