Eleven v4: Our most expressive text-to-speech AI model yet
It generates speech that can sound dramatic, tender, urgent, comedic, or conversational, while maintaining the identity of the speaker. More natural multi-speaker dynamics make conversations feel responsive, rather than like separate lines assembled together. Speakers respond to the context of the conversation, producing more natural dialogue and character interactions.A new architecture built for performanceBuilt on an entirely new architecture, Eleven v4 is our most emotive Text to Speech model ranked #1 by Artificial Analysis1.
- ▪It generates speech that can sound dramatic, tender, urgent, comedic, or conversational, while maintaining the identity of the speaker.
- ▪More natural multi-speaker dynamics make conversations feel responsive, rather than like separate lines assembled together.
- ▪Speakers respond to the context of the conversation, producing more natural dialogue and character interactions.A new architecture built for performanceBuilt on an entirely new architecture, Eleven v4 is our most emotive Text to Speech mode
Hacker News (AI / LLM) files mainly under ai. We currently carry 6,939 of its stories.
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | ElevenLabs |
| Canonical URL | https://elevenlabs.io/blog/eleven-v4 |
| Publication time | Tue, 29 Sep 2026 23:19:04 +0000 |
| Retrieval time | 2026-09-29T23:22:33.986Z |
| Last seen | 2026-09-29T23:22:33.986Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | L0YEEkcuDQ9a · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
BlogResearchIntroducing Eleven v4, our most emotive modelWritten byMati StaniszewskiPiotr DabkowskiPublishedSep 28, 2026Last updatedSep 29, 2026ListenListen to this article0:000:000:001.0xDiscover Eleven v4Sign upOn this pageIntroductionA new architecture built for performanceA Turbo model for low-latency use casesOne voice, myriad languagesMore authentic, consistent voice cloningHear the difference for yourselfA line of text can change significantly depending on how it’s spoken.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at ElevenLabs.
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