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README.md
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#
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---
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# Kejue AI
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We build speech foundation models.
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## echo
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We started with echo, our family of speech-native LLMs — language models that listen to audio directly and reason over it, instead of transcribing first and thinking later. echo is trained on English and Arabic across a wide range of dialects, so it holds up on the accents and code-switching that real speech actually contains, not just the clean read-aloud audio most models are tuned for.
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## Conversational Speech Models
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The next phase is Conversational Speech Models, our take on a new kind of TTS. Rather than reading a sentence back in a fixed voice, these models are built for real conversation — speech that carries the timing, tone and turn-taking of an actual dialogue.
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---
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Everything here is Arabic-first and built for production, from the data and the encoders through to low-latency serving over telephony and far-field audio.
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📫 adham@kejue.co
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index.html
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<!doctype html>
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<html><head><meta charset="utf-8"><title>Kejue AI</title></head>
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<body><h1>SENTINEL_FROM_INDEX</h1><p>Body from index html.</p></body></html>
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style.css
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:root {
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--accent: #0b8a4b;
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}
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@media (prefers-color-scheme: dark) {
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--bg: #0d0d0f;
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--fg: #f0f0f0;
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--accent: #3ddc84;
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}
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* {
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body {
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font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, Helvetica, Arial, sans-serif;
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}
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.wrap {
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padding: 3.5rem 1.5rem 3rem;
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}
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header {
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margin-bottom: 2.5rem;
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h1 {
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section {
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h2 {
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p {
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footer {
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a {
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a:hover {
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