README.md

metadata

license: cc-by-4.0
thumbnail: null
tags:
  - automatic-speech-recognition
  - speech
  - audio
  - Transducer
  - TDT
  - FastConformer
  - Conformer
  - pytorch
  - NeMo
  - hf-asr-leaderboard
  - coreml
  - apple
language:
  - en
pipeline_tag: automatic-speech-recognition
base_model:
  - nvidia/parakeet-tdt-0.6b-v2

Parakeet TDT 0.6B V2 - CoreML

This is a CoreML-optimized version of NVIDIA's Parakeet TDT 0.6B V2 model, designed for high-performance automatic speech recognition on Apple platforms.

Model Description

Models will continue to evolve as we optimize performance and accuracy. This model has been converted to CoreML format for efficient on-device inference on Apple Silicon and iOS devices, enabling real-time speech recognition with minimal memory footprint.

Usage in Swift

See the FluidAudio repository for instructions.

Performance

• Real-time factor: ~110x on M4 Pro
• Memory usage: ~800MB peak
• Supported platforms: macOS 14+, iOS 17+
• Optimized for: Apple Silicon

Model Details

• Architecture: FastConformer-TDT
• Parameters: 0.6B
• Sample rate: 16kHz

License

This model is released under the CC-BY-4.0 license. See the LICENSE file for details.

Acknowledgments

Based on NVIDIA's Parakeet TDT model. CoreML conversion and Swift integration by the FluidInference team.