README.md

metadata

library_name: onnx
tags:
  - moonshine
  - speech-to-text
  - automatic-speech-recognition
  - audio
  - streaming
  - onnx
  - inference4j
license: mit
pipeline_tag: automatic-speech-recognition

Moonshine Streaming (Tiny) — ONNX Runtime (.ort)

Moonshine v2 streaming tiny speech recognition model for English, quantized to ONNX Runtime (.ort) format for efficient on-device transcription.

Mirrored for use with inference4j, an inference-only AI library for Java.

Original Source

• Repository: Moonshine AI (moonshine-ai/moonshine)
• License: mit

Usage with inference4j

try (var recognizer = MoonshineRecognizer.builder()
        .modelId("inference4j/moonshine-streaming-tiny-en")
        .build()) {
    RecognitionResult result = recognizer.recognize(audioStream);
    System.out.println(result.text());
}

Model Details

Property	Value
Architecture	Moonshine v2 Streaming (Tiny)
Release	quantized_26_08_21
Task	Streaming automatic speech recognition
Precision	Quantized (.ort)
Language	English (en)
Limits	At most 30 s per call (hard graph limit: 4096 frames / ~82 s)

License

This model is licensed under the MIT License. Original models by Moonshine AI.

Limits

• Language: English only.
• Audio duration: At most 30 s per call; use SegmentedSpeechRecognizer for longer audio.
• Graph frame limit: Hard limit inside the graphs is 4096 frames (about 82 s).