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NVIDIA
Jasper for PyTorch
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NVIDIA
NVIDIA
Jasper for PyTorch

The Jasper model is an end-to-end neural acoustic model for automatic speech recognition (ASR).

Changelog

February 2021

  • Added DALI data-processing pipeline for on-the-fly data processing and augmentation on CPU or GPU
  • Revised training recipe: ~10% relative improvement in Word Error Rate (WER)
  • Updated Triton scripts for compatibility with Triton V2 API, updated Triton inference results
  • Refactored codebase
  • Updated performance results for the PyTorch 20.10-py3 NGC container

June 2020

  • Updated performance tables to include A100 results

December 2019

  • Inference support for TRT 6 with dynamic shapes
  • Inference support for TensorRT Inference Server with acoustic model backends in ONNX, PyTorch JIT, TensorRT
  • Jupyter notebook for inference with TensorRT Inference Server

November 2019

  • Google Colab notebook for inference with native TensorRT

September 2019

  • Inference support for TensorRT 6 with static shapes
  • Jupyter notebook for inference

August 2019

  • Initial release

Known issues

There are no known issues in this release.

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