Assembling...
Neural codec language model treating text-to-speech as a language modeling problem over audio codec tokens. Produces high-fidelity speech from a 3-second voice sample while preserving speaker emotion and acoustic environment.
Generates natural speech from only 3 seconds of reference audio
Preserves speaker emotion, acoustic environment, and recording conditions
Pioneered the neural codec language model approach to TTS
Generate natural-sounding narration for long-form content with consistent voice quality.
Deliver voice alerts and notifications with expressive, human-like speech synthesis.
Produce audio content in multiple languages from a single text source.
Power low-latency voice responses in interactive applications and games.
// VALL-E — Text-to-Speech
import { synthesize } from "@arkitekton/voice";
const audio = await synthesize({
model: "vm-ms-003",
vendor: "microsoft",
input: "Hello, welcome to Arkitekton.",
voice: "alloy",
response_format: "mp3",
speed: 1.0,
});
// Play the audio
const blob = new Blob([audio], { type: "audio/mp3" });
const url = URL.createObjectURL(blob);
const player = new Audio(url);
player.play();Enterprise speech services across Azure and research labs