AI · AI model

PersonaPlex-7B (nvidia/personaplex-7b-v1)

Open full-duplex speech-to-speech conversational AI model by NVIDIA

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PersonaPlex-7B is a 7-billion-parameter speech-to-speech conversational model developed by NVIDIA that supports full-duplex interaction. It processes continuous audio streams using a dual-stream architecture, allowing it to listen and speak at the same time without the latency of separate ASR, LLM, and TTS pipelines.

What it's for

  • Build low-latency voice assistants that support interruptions and natural turn-taking
  • Add expressive, real-time voice interaction with emotional nuance to applications
  • Study behavioral edge cases and failure modes in speech-to-speech conversational models

Features

  • Full-duplex audio processing enabling simultaneous speaking and listening
  • Single-model architecture replacing traditional ASR, LLM, and TTS chains
  • Support for conversational interruptions, laughter, and backchanneling
  • Compatible with the Moshi speech-text framework
  • Low-latency streaming audio-to-audio generation

Pricing

Open source. Free download under a custom NVIDIA license

Details

Type
AI model
Category
AI
Topic
Speech Models
Open source
Yes
Platforms
Linux, Self-hosted, Code library
For
AI researchers, speech engineers, and voice agent developers
Alternative to
OpenAI Advanced Voice Mode, Kyutai Moshi
Tags
speech to speech, full duplex, voice ai, nvidia, audio, open weights

Why it was saved

  • @aidailyadvances, 8 February 2026: Demonstrates full-duplex voice synthesis and the potential failure modes or uncanny behavior of conversational voice models when caught in emotional or repetitive generation loops.
  • @ai_with_saqi, 22 January 2026: Eliminates the rigid, high-latency ASR→LLM→TTS pipeline, enabling human-like interruptions, laughter, and simultaneous backchanneling in voice AI applications.
  • @aisearchio, 22 January 2026: Open-source speech-to-speech model capable of real-time dialogue including jokes and banter, shown in a live two-party voice demo.

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