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What is Gemini Audio?

Gemini Audio is an advanced collection of real-time audio models built upon the cutting-edge Gemini architecture, designed to enable natural and seamless voice interactions along with dynamic audio generation through simple language prompts. This technology creates engaging conversational experiences, allowing users to speak, listen, and interact with AI continuously, while effectively combining comprehension, reasoning, and audio response generation. With the ability to both analyze and produce audio, it supports a wide array of applications such as speech-to-text transcription, translation, speaker recognition, emotion detection, and comprehensive audio content analysis. These models are particularly optimized for low-latency, real-time environments, making them ideal for live assistants, voice agents, and interactive systems that require ongoing, multi-turn conversations. In addition, Gemini Audio features enhanced capabilities such as function calling, which allows the model to trigger external tools and integrate real-time data into its responses, thus broadening its applicability and efficiency. This innovative framework not only simplifies user interaction but also significantly elevates the overall experience with AI-powered audio technology, ensuring users are consistently engaged and satisfied. Ultimately, Gemini Audio represents a leap forward in the convergence of voice interaction and intelligent audio processing, paving the way for future advancements in this space.

What is Dograh?

Dograh is an open-source platform that allows users to self-host a voice agent, equipped with a no-code workflow builder aimed at crafting production-ready voice agents. Teams can choose from a variety of inbound channels, speech-to-text services, language models, text-to-speech solutions, and telephony providers, or they can utilize advanced speech-to-speech models for direct audio communication that ensures smooth turn-taking, effective interruption management, and low latency. The platform supports both inbound and outbound calling and includes features such as widgets, telephony integrations, observability, tracing capabilities, and real-time analytics, along with a hybrid model that merges pre-recorded voice with TTS, accommodating over 70 different languages. Moreover, the MCP server supports multiple agent runtimes, including Claude Code, Cursor, OpenClaw, and Codex, allowing users to create, modify, and deploy voice agents directly from their development environments. Dograh can be deployed on personal servers, within a private cloud or virtual private cloud, or in a managed environment, enabling complete hosting of models within the user's own infrastructure. Its comprehensive features and flexibility make Dograh an excellent choice for teams eager to push the boundaries of voice technology, fostering innovation and enhancing user engagement in various applications.

Media

Media

Integrations Supported

Gemini

Integrations Supported

Gemini
Amazon Web Services (AWS)
Calendly
Cloudonix
Codex CLI
Cursor
Deepgram
ElevenLabs
Gladia
Groq
Hugging Face
Inworld
Microsoft Azure
Model Context Protocol (MCP)
OpenAI
OpenRouter
Plivo
Speechmatics
Telnyx
Vonage AI Studio

API Availability

Has API

API Availability

Pricing Information

Free
Free Version

Pricing Information

1¢ per minute
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

deepmind.google/models/gemini-audio/

Company Facts

Organization Name

Dograh

Company Location

United States

Company Website

www.dograh.com

Categories and Features

AI Models

Not specified

AI Translation

Not specified

AI Voice Agents

Not specified

Speech Recognition

Not specified

Categories and Features

AI Voice Agents

Not specified

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