Models / Rime
Audio

Arcana V3

Multilingual TTS with 11-language code-switching for global production deployment.

About model

Rime Arcana V3 supports 11 languages with native code-switching that preserves prosody and accent consistency across language boundaries. When customers switch from French to English for technical terms, then back to French for clarification, V3 handles these transitions while maintaining natural cadence and emphasis—so the conversation doesn't sound stitched together. Teams consolidate what used to require separate models or vendors per language into a single endpoint serving multilingual customers, with co-located deployment alongside LLM and STT workloads on Together AI's production infrastructure.

Languages

11

Native code-switching support

Model

1

Consolidates multilingual infrastructure

Uptime SLA

99.9%

Production-ready infrastructure

Model key capabilities
  • Multilingual Code-Switching: 11 languages with natural transitions preserving prosody and accent consistency across language boundaries
  • Single Model Deployment: Consolidate infrastructure previously requiring separate models or vendors per language into unified endpoint
  • Natural Prosody: Transitions between languages preserve cadence and emphasis rather than sounding mechanical or stitched together
  • Unified Infrastructure: Co-located with LLM and STT on Together AI—track performance across all languages from single dashboard
  • Model card

    Architecture Overview:
    • Multilingual TTS supporting 11 languages with native code-switching capabilities
    • Single model architecture eliminating need for separate language-specific models
    • Prosody and accent consistency preservation across language transitions
    • WebSocket streaming support for real-time multilingual voice applications
    • Co-located with LLM and STT workloads on unified infrastructure
    • Global data center deployment for low-latency international access

    Training Methodology:
    • Trained on multilingual speech patterns with natural code-switching behaviors
    • Prosody modeling for seamless transitions between supported languages
    • Accent consistency training ensuring natural flow across language boundaries
    • Cadence and emphasis preservation when languages mix within conversations

    Supported Languages:
    • 11 languages with native code-switching support
    • Natural transitions preserving prosody when customers switch languages
    • Single model deployment serving multilingual markets
    • Accent and cadence consistency across language boundaries

    Key Capabilities:
    • Multilingual Code-Switching: Handle conversations that mix multiple languages naturally within sentences
    • Single Model Deployment: Consolidate infrastructure previously requiring separate models per language
    • Natural Prosody: Transitions between languages preserve cadence and emphasis rather than sounding mechanical
    • Global Infrastructure: Deploy once and serve multilingual customers from unified endpoints
    • Unified Observability: Track performance across all languages from single dashboard

  • Applications & use cases

    International Call Centers:
    • Call centers serving multilingual markets where customers code-switch across languages
    • Business customers in multilingual regions (e.g., Luxembourg, Switzerland, Singapore) mixing languages in single calls
    • Contact centers consolidating separate language-specific infrastructure into unified deployment
    • Customer service maintaining natural flow when callers switch languages mid-conversation
    • Single dashboard tracking performance across all supported languages

    Global Enterprise Voice Applications:
    • International businesses serving customers across multiple language markets
    • Voice assistants for multinational corporations with diverse customer bases
    • Technical support handling multilingual terminology and code-switching
    • Sales and customer success teams serving global markets from unified platform
    • Eliminate separate vendor relationships and infrastructure per language

    Multilingual Customer Service:
    • Automated support systems serving customers who mix languages naturally
    • Voice agents handling technical terms in one language within conversations in another
    • Customer service in multilingual urban centers (Brussels, Montreal, Miami, Singapore)
    • Support for diaspora communities code-switching between heritage and local languages
    • Natural transitions reducing customer frustration with language barriers

    Regulated Industries Serving Global Markets:
    • Financial services with international customer bases requiring multilingual support
    • Healthcare providers serving immigrant and multilingual patient populations
    • Government services in officially multilingual jurisdictions
    • Legal and compliance services handling multilingual client interactions
    • Single compliance review covering entire multilingual voice stack

    Travel & Hospitality:
    • International airlines serving customers who code-switch across multiple languages
    • Hotel chains with properties in multilingual destinations
    • Tourism services handling queries mixing multiple languages
    • Travel booking systems serving polyglot customers
    • Airport and transportation voice systems in multilingual hubs

    Education & Training:
    • Language learning platforms with multilingual voice instruction
    • International educational institutions serving diverse student bodies
    • Corporate training programs for multilingual workforce
    • Voice-based educational content adapting to learner language mixing
    • Academic support systems handling code-switched queries

Related models
  • Model provider
    Rime
  • Type
    Audio
  • Main use cases
    Text-to-Speech
  • Deployment
    On-Demand Dedicated
    Monthly Reserved
  • Input modalities
    Text
  • Output modalities
    Audio