From 518d43b66f1b597db45a3928af0b71089abed9c6 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期四, 30 五月 2024 14:59:50 +0800
Subject: [PATCH] docs

---
 README.md |   18 ++++++++++++++++++
 1 files changed, 18 insertions(+), 0 deletions(-)

diff --git a/README.md b/README.md
index 81fb1b3..d2823f0 100644
--- a/README.md
+++ b/README.md
@@ -4,6 +4,7 @@
 
 # FunASR: A Fundamental End-to-End Speech Recognition Toolkit
 
+[![SVG Banners](https://svg-banners.vercel.app/api?type=origin&text1=FunASR馃&text2=馃挅%20Open%20Source%20by%20Alibaba%20TONGYI&width=800&height=210)](https://github.com/Akshay090/svg-banners)
 
 [![PyPI](https://img.shields.io/pypi/v/funasr)](https://pypi.org/project/funasr/)
 
@@ -157,6 +158,8 @@
 ```
 Note: `chunk_size` is the configuration for streaming latency.` [0,10,5]` indicates that the real-time display granularity is `10*60=600ms`, and the lookahead information is `5*60=300ms`. Each inference input is `600ms` (sample points are `16000*0.6=960`), and the output is the corresponding text. For the last speech segment input, `is_final=True` needs to be set to force the output of the last word.
 
+<details><summary>More Examples</summary>
+
 ### Voice Activity Detection (Non-Streaming)
 ```python
 from funasr import AutoModel
@@ -215,9 +218,24 @@
 res = model.generate(input=(wav_file, text_file), data_type=("sound", "text"))
 print(res)
 ```
+
+
+### Speech Emotion Recognition
+```python
+from funasr import AutoModel
+
+model = AutoModel(model="emotion2vec_plus_large")
+
+wav_file = f"{model.model_path}/example/test.wav"
+
+res = model.generate(wav_file, output_dir="./outputs", granularity="utterance", extract_embedding=False)
+print(res)
+```
+
 More usages ref to [docs](docs/tutorial/README_zh.md), 
 more examples ref to [demo](https://github.com/alibaba-damo-academy/FunASR/tree/main/examples/industrial_data_pretraining)
 
+</details>
 
 ## Export ONNX
 

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