Assembling...
Self-supervised speech representation model from Meta that learns powerful features from unlabeled audio. Fine-tunable for ASR with as little as 10 minutes of labeled data, enabling rapid adaptation to new languages and domains.
Transcript will appear here in real-time as you speak…
Fine-tune competitive ASR from just 10 minutes of labeled data
Self-supervised pre-training leverages vast unlabeled audio corpora
Cross-lingual transfer enables rapid new language bootstrapping
Transcribe meetings in real-time with speaker identification and punctuation.
Analyze customer calls at scale with sentiment detection and keyword spotting.
Convert audio and video libraries into searchable text archives.
Provide real-time captions for broadcasts, presentations, and live events.
// Wav2Vec 2.0 — Speech-to-Text
import { transcribe } from "@arkitekton/voice";
const result = await transcribe({
model: "vm-hf-008",
vendor: "huggingface",
audio: audioFile,
language: "en",
options: {
punctuate: true,
diarize: true,
smart_format: true,
},
});
console.log("Transcript:", result.text);
console.log("Confidence:", result.confidence);Community-driven open-source speech models and toolkits