Assembling...
Multi-task speech model using a shared encoder-decoder architecture for both TTS and ASR. Pre-trained on large-scale speech and text data with task-specific fine-tuning heads, enabling a single model to handle speech understanding and generation.
Transcript will appear here in real-time as you speak…
Single architecture handles both speech recognition and synthesis
Speaker embeddings enable voice style transfer at inference time
Pre-trained checkpoints available on Hugging Face Hub
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.
// SpeechT5 — Text-to-Speech
import { synthesize } from "@arkitekton/voice";
const audio = await synthesize({
model: "vm-hf-004",
vendor: "huggingface",
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();Community-driven open-source speech models and toolkits