Eleven Turbo v2.5 Description
Eleven Labs' Eleven Turbo v2.5 is a state-of-the-art AI model optimized for fast, high-quality text generation and natural language understanding. It offers enhanced responsiveness and improved output fidelity for versatile use cases.
Technical Specification
Performance Benchmarks
Eleven Turbo v2.5 excels in generating coherent, contextually rich text with low latency.
- Mean Opinion Score (MOS): 4.72/5.0 (on par with human-level speech)
- Word Error Rate (WER) in voice clarity: <3.1% on benchmark datasets.
- Language Coverage: 127 languages and dialects with native speaker quality.
Key Capabilities
Eleven Turbo v2.5 delivers highly fluent and context-aware text generation ideal for real-time applications.
- Ultra-Low Latency: Ideal for real-time applications like live dubbing, gaming NPCs, and interactive voice assistants.
- Expressive Speech: Advanced prosody control with dynamic intonation, emotion, and emphasis customization.
- Voice Cloning: High-fidelity voice replication from short audio samples (as little as 3 seconds).
- Multilingual Mastery: Native-grade fluency across 127 languages, including low-resource dialects.
API Prising
- 0.1155 USD / 1000 characters
Optimal Use Cases
- Conversational AI: Real-time chatbots and virtual assistants requiring natural, fluid dialogue.
- Content Creation: Quick generation of high-quality articles, summaries, and creative writing.
- Voice Applications: Powering text-to-speech systems with natural and expressive outputs.
- Customer Support: Automating responses with accurate and context-aware knowledge delivery.
Code Sample
Comparison with Other Models
- Vs. Google WaveNet (v3): Faster inference (200ms vs. 650ms P95), broader language support (127 vs. 50), with comparable MOS (4.72 vs. 4.75).
- Vs. Amazon Polly Neural: Superior expressiveness and lower latency; supports 2x more languages and real-time streaming.
- Vs. Microsoft Azure Neural TTS: Higher voice naturalness in edge cases (MOS 4.72 vs. 4.61), faster response times, and better emotion modeling.
Limitations
Eleven Turbo v2.5 has a maximum input length of 4,096 characters, which may limit its use for very long-form content generation. Additionally, while it supports 127 languages, some low-resource dialects may exhibit slightly reduced clarity or naturalness compared to major global languages.
API Integration
Accessible via AI/ML API. Documentation: available here.
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