README.md

metadata

license: cc-by-4.0

ONNX Models for ZIPA

This repository contains optimized ONNX models for the ZIPA speech recognition system. The models are exported from the original PyTorch checkpoints and support FP32, FP16, and INT8 precision.

Original Repository

GitHub: lingjzhu/zipa

Available Files

• model.onnx: FP32 ONNX model (or encoder-*.onnx, etc. for Transducer)
• model.fp16.onnx: FP16 Quantized model
• model.int8.onnx: INT8 Quantized model
• tokens.txt: Token vocabulary

Usage

Installation

pip install onnxruntime soundfile librosa lhotse

Inference

Please refer to the Inference Documentation in the official repository for detailed usage and scripts.

Quick Example (CTC)

import onnxruntime as ort
import numpy as np

session = ort.InferenceSession("model.fp16.onnx")
# ... preprocessing ...