1 link tagged with all of: text to speech + emotional expression + latency + localization + eleven v4
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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
eleven v4
text to speech
emotional expression
latency
localization