Most human like and low latency voices in Hebrew? suggest 3-5 options that are usually the most performing ones.

Thanks for reaching out, Liad. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.

I'll use it for real ai phone calls, it need to sound ultra realistic, super low latency . are those still the best fit ?

Thanks — that helps. For ultra‑realistic Hebrew on real AI phone calls where super low latency is critical, prioritize models optimized for streaming and low end‑to‑end delay while keeping high naturalness. Recommended order for your use case: 1. Cartesia Sonic 3 (

cartesia/sonic-3

) — Best balance of very low latency and excellent naturalness; ideal when responsiveness is top priority. 2. Rime Mist v3 (

rime/mistv3

) — Strong Hebrew prosody and streaming optimization; excellent realism with low latency. 3. Deepgram Aura-2 (

deepgram/aura-2

) — Very low latency, reliable for real‑time calls; slightly less expressive than top two but highly responsive. 4. ElevenLabs Eleven Multilingual v2 (

elevenlabs/eleven_multilingual_v2

) — Ultra‑natural and expressive; use if naturalness must be maximized and you can accept modestly higher latency. 5. Inworld TTS 1.5 Max (

inworld/inworld-tts-1.5-max

) — High expressiveness but higher latency; choose only if voice character is more important than lowest possible delay. Quick suggestions to minimize call latency: • Use streaming TTS endpoints (not batch) and smaller audio chunk sizes. • Preload or cache the voice model/connection before the call starts. • Keep network RTT low—deploy inference close to your telephony gateway if possible. • Use aggressive audio buffering settings tuned for real‑time (trade off tiny buffering vs. packet loss handling). Would you like me to: • Rank the top 2 for an A/B test script for phone prompts, or • Provide example streaming settings (chunk size, buffer targets) to use with your telephony pipeline?, with interactive elements