From 6d8362f80beb3ef13af5312fc2c74a9d6ecf308a Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期日, 23 四月 2023 11:01:04 +0800
Subject: [PATCH] readme

---
 funasr/runtime/python/onnxruntime/funasr_onnx/paraformer_bin.py |    5 +++++
 README.md                                                       |    3 ++-
 2 files changed, 7 insertions(+), 1 deletions(-)

diff --git a/README.md b/README.md
index 5c9a1b0..dddc1ae 100644
--- a/README.md
+++ b/README.md
@@ -89,7 +89,8 @@
 1. We borrowed a lot of code from [Kaldi](http://kaldi-asr.org/) for data preparation.
 2. We borrowed a lot of code from [ESPnet](https://github.com/espnet/espnet). FunASR follows up the training and finetuning pipelines of ESPnet.
 3. We referred [Wenet](https://github.com/wenet-e2e/wenet) for building dataloader for large scale data training.
-4. We acknowledge [DeepScience](https://www.deepscience.cn) for contributing the grpc service.
+4. We acknowledge [ChinaTelecom](https://github.com/zhuzizyf/damo-fsmn-vad-infer-httpserver) for contributing the VAD runtime. 
+5. We acknowledge [DeepScience](https://www.deepscience.cn) for contributing the grpc service.
 
 ## License
 This project is licensed under the [The MIT License](https://opensource.org/licenses/MIT). FunASR also contains various third-party components and some code modified from other repos under other open source licenses.
diff --git a/funasr/runtime/python/onnxruntime/funasr_onnx/paraformer_bin.py b/funasr/runtime/python/onnxruntime/funasr_onnx/paraformer_bin.py
index e3ef8c7..47b0559 100644
--- a/funasr/runtime/python/onnxruntime/funasr_onnx/paraformer_bin.py
+++ b/funasr/runtime/python/onnxruntime/funasr_onnx/paraformer_bin.py
@@ -19,6 +19,11 @@
 
 
 class Paraformer():
+    """
+    Author: Speech Lab of DAMO Academy, Alibaba Group
+    Paraformer: Fast and Accurate Parallel Transformer for Non-autoregressive End-to-End Speech Recognition
+    https://arxiv.org/abs/2206.08317
+    """
     def __init__(self, model_dir: Union[str, Path] = None,
                  batch_size: int = 1,
                  device_id: Union[str, int] = "-1",

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