1 link tagged with all of: localization + emotional expression + text to speech
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ElevenLabs released Eleven v4, a text-to-speech model that generates emotionally expressive speech by interpreting tone, pacing, and context. It ranks #1 in independent benchmarks and was preferred by ~75% of listeners in blind tests against competitors.
- Eleven v4 can generate speech with distinct emotions (dramatic, tender, urgent, comedic) while maintaining speaker identity, and users can control delivery through natural language prompts and inline tags like [laughs] or [said angrily in French accent]
- Eleven v4 Turbo achieves ~150ms latency for conversational agents, solving the traditional speed-vs-quality tradeoff that forced developers to choose between fast but robotic or slow but expressive voices
- The model supports 90+ languages and can clone voices that speak fluently in any language while adopting native accents and retaining the original voice's identity, improving dubbing and localization work