Audio-to-audio
Also written: Native Audio
Audio-to-audio models take sound as input and produce sound as output, like a voice translator.
Audio-to-audio means a system understands spoken words and responds with spoken words. It takes sound in and creates sound out.
Think of a real-time voice translator. You speak in one language, and the system speaks back in another language instantly. This is different from systems that only understand speech and write it down (speech-to-text) or systems that only turn written text into speech (text-to-speech).
Audio-to-audio models process audio input and generate audio output directly. This bypasses the need for intermediate text representations, potentially reducing latency and preserving nuances lost in text conversion. Applications include real-time translation, voice conversion, and expressive speech synthesis.
Google Gemini's recent updates highlight audio-to-audio capabilities, particularly for real-time voice translation and conversational AI. These advancements focus on reducing latency and creating more natural voice interactions, suggesting a growing trend towards more integrated and immediate audio processing in AI systems.
- translate Gemini 3.5 Live TranslateGoogle · Gemini Models ·
- settings_voice Gemini 3.1 Flash LiveGoogle · Gemini Models ·
- Gemini 3.1 Flash LiveGoogle · Gemini Models ·
- Përkthimi i drejtpërdrejtë i Gemini 3.5Google · Gemini Models ·
- settings_voice Gemini 3.1 Flash LiveGoogle · Gemini Models ·
- translate Gemini 3.5 Live TranslateGoogle · Gemini Models ·
- translate Gemini 3.5 Live TranslateGoogle · Gemini Models ·
- Gemini 3.5 Live Translate | Gemini APIGoogle · Gemini Models ·
- Improved Gemini audio models for powerful voice experiencesGoogle · Google DeepMind Blog ·
- Google Gemini
- Google Gemini is actively developing and deploying audio-to-audio models for features like live translation and low-latency voice conversations.
- Speech-to-text
- Converts spoken audio into written text.
- Text-to-speech
- Converts written text into spoken audio.
- Speech-to-speech translation
- Translates spoken audio in one language to spoken
The concept of audio-to-audio processing in AI has evolved alongside advancements in speech recognition and synthesis. Direct audio-to-audio models represent a more integrated approach to spoken language tasks.
Use a real-time voice translation app on your phone. Speak into the app in one language, and listen as it speaks your words in another language. This demonstrates how audio input is converted to audio output for immediate understanding.
The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news.
- HeuristicUse Gemini native audio for global communicationLeverage Gemini's native audio capabilities to break down language barriers and enable seamless global communication. · 10 min
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- TemplateReusable workflow templates for healthcare teamsTeams can create and share templates for common workflows like documentation or prior authorizations. · 15 min
- TemplateTemplate for building an AI tool tailored to your workA structured approach to defining and building a custom AI tool for specific business needs. · 15 min
- TemplateEvals CSV prompt list for agent skillsA CSV file template for listing prompts used in evaluating agent skills. · 20 min
Questions people ask
- What is the main advantage of audio-to-audio?
- The main advantage is potentially lower latency and more natural-sounding output because the model processes audio directly without converting it to text first.
- Can audio-to-audio models understand and speak any language?
- Current audio-to-audio models are trained for specific language pairs or a set of languages. Their capabilities depend on the data they were trained on.
First seen on Subvolts Dec 12, 2025. Updated Oct 8, 2026. Written by an AI model from the items above and reviewed against them weekly; report an error.

