From bbbf17e4d97ff155049c424af4e96bfded9089b1 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期二, 16 一月 2024 15:51:57 +0800
Subject: [PATCH] fix win bug
---
README_zh.md | 141 ++++++++++++++++++++++++++++++++++++-----------
1 files changed, 108 insertions(+), 33 deletions(-)
diff --git a/README_zh.md b/README_zh.md
index e4b3658..57a6bbb 100644
--- a/README_zh.md
+++ b/README_zh.md
@@ -31,6 +31,11 @@
<a name="鏈�鏂板姩鎬�"></a>
## 鏈�鏂板姩鎬�
+- 2024/01/09: funasr绀惧尯杞欢鍖厀indows 2.0鐗堟湰鍙戝竷锛屾敮鎸佽蒋浠跺寘涓枃绂荤嚎鏂囦欢杞啓4.1銆佽嫳鏂囩绾挎枃浠惰浆鍐�1.2銆佷腑鏂囧疄鏃跺惉鍐欐湇鍔�1.6鐨勬渶鏂板姛鑳斤紝璇︾粏淇℃伅鍙傞槄([FunASR绀惧尯杞欢鍖厀indows鐗堟湰](https://www.modelscope.cn/models/damo/funasr-runtime-win-cpu-x64/summary))
+- 2024/01/03: 涓枃绂荤嚎鏂囦欢杞啓鏈嶅姟 4.0 鍙戝竷锛屾柊澧炴敮鎸�8k妯″瀷銆佷紭鍖栨椂闂存埑涓嶅尮閰嶉棶棰樺強澧炲姞鍙ュ瓙绾у埆鏃堕棿鎴炽�佷紭鍖栬嫳鏂囧崟璇峟st鐑瘝鏁堟灉銆佹敮鎸佽嚜鍔ㄥ寲閰嶇疆绾跨▼鍙傛暟锛屽悓鏃朵慨澶嶅凡鐭ョ殑crash闂鍙婂唴瀛樻硠婕忛棶棰橈紝璇︾粏淇℃伅鍙傞槄([涓�閿儴缃叉枃妗(runtime/readme_cn.md#涓枃绂荤嚎鏂囦欢杞啓鏈嶅姟cpu鐗堟湰))
+- 2024/01/03: 涓枃瀹炴椂璇煶鍚啓鏈嶅姟 1.6 鍙戝竷锛�2pass-offline妯″紡鏀寔Ngram璇█妯″瀷瑙ｇ爜銆亀fst鐑瘝锛屽悓鏃朵慨澶嶅凡鐭ョ殑crash闂鍙婂唴瀛樻硠婕忛棶棰橈紝璇︾粏淇℃伅鍙傞槄([涓�閿儴缃叉枃妗(runtime/readme_cn.md#涓枃瀹炴椂璇煶鍚啓鏈嶅姟cpu鐗堟湰))
+- 2024/01/03: 鑻辨枃绂荤嚎鏂囦欢杞啓鏈嶅姟 1.2 鍙戝竷锛屼慨澶嶅凡鐭ョ殑crash闂鍙婂唴瀛樻硠婕忛棶棰橈紝璇︾粏淇℃伅鍙傞槄([涓�閿儴缃叉枃妗(runtime/readme_cn.md#鑻辨枃绂荤嚎鏂囦欢杞啓鏈嶅姟cpu鐗堟湰))
+- 2023/12/04: funasr绀惧尯杞欢鍖厀indows 1.0鐗堟湰鍙戝竷锛屾敮鎸佷腑鏂囩绾挎枃浠惰浆鍐欍�佽嫳鏂囩绾挎枃浠惰浆鍐欍�佷腑鏂囧疄鏃跺惉鍐欐湇鍔★紝璇︾粏淇℃伅鍙傞槄([FunASR绀惧尯杞欢鍖厀indows鐗堟湰](https://www.modelscope.cn/models/damo/funasr-runtime-win-cpu-x64/summary))
- 2023/11/08锛氫腑鏂囩绾挎枃浠惰浆鍐欐湇鍔�3.0 CPU鐗堟湰鍙戝竷锛屾柊澧炴爣鐐瑰ぇ妯″瀷銆丯gram璇█妯″瀷涓巜fst鐑瘝锛岃缁嗕俊鎭弬闃�([涓�閿儴缃叉枃妗(runtime/readme_cn.md#涓枃绂荤嚎鏂囦欢杞啓鏈嶅姟cpu鐗堟湰))
- 2023/10/17: 鑻辨枃绂荤嚎鏂囦欢杞啓鏈嶅姟涓�閿儴缃茬殑CPU鐗堟湰鍙戝竷锛岃缁嗕俊鎭弬闃�([涓�閿儴缃叉枃妗(runtime/readme_cn.md#鑻辨枃绂荤嚎鏂囦欢杞啓鏈嶅姟cpu鐗堟湰))
- 2023/10/13: [SlideSpeech](https://slidespeech.github.io/): 涓�涓ぇ瑙勬ā鐨勫妯℃�侀煶瑙嗛璇枡搴擄紝涓昏鏄湪绾夸細璁垨鑰呭湪绾胯绋嬪満鏅紝鍖呭惈浜嗗ぇ閲忎笌鍙戣█浜鸿璇濆疄鏃跺悓姝ョ殑骞荤伅鐗囥��
@@ -52,68 +57,132 @@
锛堟敞锛歔馃]()琛ㄧずHuggingface妯″瀷浠撳簱閾炬帴锛孾猸怾()琛ㄧずModelScope妯″瀷浠撳簱閾炬帴锛�
-| 妯″瀷鍚嶅瓧 | 浠诲姟璇︽儏 | 璁粌鏁版嵁 | 鍙傛暟閲� |
-|:---------------------------------------------------------------------------------------------------------------------------------------------------------------:|:------------------:|:------------:|:----:|
-| paraformer-zh <br> ([猸怾(https://www.modelscope.cn/models/damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary) [馃]() ) | 璇煶璇嗗埆锛屽甫鏃堕棿鎴宠緭鍑猴紝闈炲疄鏃� | 60000灏忔椂锛屼腑鏂� | 220M |
-| paraformer-zh-spk <br> ( [猸怾(https://modelscope.cn/models/damo/speech_paraformer-large-vad-punc-spk_asr_nat-zh-cn/summary) [馃]() ) | 鍒嗚鑹茶闊宠瘑鍒紝甯︽椂闂存埑杈撳嚭锛岄潪瀹炴椂 | 60000灏忔椂锛屼腑鏂� | 220M |
-| paraformer-zh-online <br> ( [猸怾(https://modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online/summary) [馃]() ) | 璇煶璇嗗埆锛屽疄鏃� | 60000灏忔椂锛屼腑鏂� | 220M |
-| paraformer-en <br> ( [猸怾(https://www.modelscope.cn/models/damo/speech_paraformer-large-vad-punc_asr_nat-en-16k-common-vocab10020/summary) [馃]() ) | 璇煶璇嗗埆锛岄潪瀹炴椂 | 50000灏忔椂锛岃嫳鏂� | 220M |
-| paraformer-en-spk <br> ([猸怾() [馃]() ) | 璇煶璇嗗埆锛岄潪瀹炴椂 | 50000灏忔椂锛岃嫳鏂� | 220M |
-| conformer-en <br> ( [猸怾(https://modelscope.cn/models/damo/speech_conformer_asr-en-16k-vocab4199-pytorch/summary) [馃]() ) | 璇煶璇嗗埆锛岄潪瀹炴椂 | 50000灏忔椂锛岃嫳鏂� | 220M |
-| ct-punc <br> ( [猸怾(https://modelscope.cn/models/damo/punc_ct-transformer_cn-en-common-vocab471067-large/summary) [馃]() ) | 鏍囩偣鎭㈠ | 100M锛屼腑鏂囦笌鑻辨枃 | 1.1G |
-| fsmn-vad <br> ( [猸怾(https://modelscope.cn/models/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch/summary) [馃]() ) | 璇煶绔偣妫�娴嬶紝瀹炴椂 | 5000灏忔椂锛屼腑鏂囦笌鑻辨枃 | 0.4M |
-| fa-zh <br> ( [猸怾(https://modelscope.cn/models/damo/speech_timestamp_prediction-v1-16k-offline/summary) [馃]() ) | 瀛楃骇鍒椂闂存埑棰勬祴 | 50000灏忔椂锛屼腑鏂� | 38M |
+| 妯″瀷鍚嶅瓧 | 浠诲姟璇︽儏 | 璁粌鏁版嵁 | 鍙傛暟閲� |
+|:------------------------------------------------------------------------------------------------------------------------------------------------------------:|:------------------:|:------------:|:----:|
+| paraformer-zh <br> ([猸怾(https://www.modelscope.cn/models/damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary) [馃]() ) | 璇煶璇嗗埆锛屽甫鏃堕棿鎴宠緭鍑猴紝闈炲疄鏃� | 60000灏忔椂锛屼腑鏂� | 220M |
+| paraformer-zh-spk <br> ( [猸怾(https://modelscope.cn/models/damo/speech_paraformer-large-vad-punc-spk_asr_nat-zh-cn/summary) [馃]() ) | 鍒嗚鑹茶闊宠瘑鍒紝甯︽椂闂存埑杈撳嚭锛岄潪瀹炴椂 | 60000灏忔椂锛屼腑鏂� | 220M |
+| paraformer-zh-streaming <br> ( [猸怾(https://modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online/summary) [馃]() ) | 璇煶璇嗗埆锛屽疄鏃� | 60000灏忔椂锛屼腑鏂� | 220M |
+| paraformer-en <br> ( [猸怾(https://www.modelscope.cn/models/damo/speech_paraformer-large-vad-punc_asr_nat-en-16k-common-vocab10020/summary) [馃]() ) | 璇煶璇嗗埆锛岄潪瀹炴椂 | 50000灏忔椂锛岃嫳鏂� | 220M |
+| conformer-en <br> ( [猸怾(https://modelscope.cn/models/damo/speech_conformer_asr-en-16k-vocab4199-pytorch/summary) [馃]() ) | 璇煶璇嗗埆锛岄潪瀹炴椂 | 50000灏忔椂锛岃嫳鏂� | 220M |
+| ct-punc <br> ( [猸怾(https://modelscope.cn/models/damo/punc_ct-transformer_cn-en-common-vocab471067-large/summary) [馃]() ) | 鏍囩偣鎭㈠ | 100M锛屼腑鏂囦笌鑻辨枃 | 1.1G |
+| fsmn-vad <br> ( [猸怾(https://modelscope.cn/models/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch/summary) [馃]() ) | 璇煶绔偣妫�娴嬶紝瀹炴椂 | 5000灏忔椂锛屼腑鏂囦笌鑻辨枃 | 0.4M |
+| fa-zh <br> ( [猸怾(https://modelscope.cn/models/damo/speech_timestamp_prediction-v1-16k-offline/summary) [馃]() ) | 瀛楃骇鍒椂闂存埑棰勬祴 | 50000灏忔椂锛屼腑鏂� | 38M |
<a name="蹇�熷紑濮�"></a>
## 蹇�熷紑濮�
-FunASR鏀寔鏁颁竾灏忔椂宸ヤ笟鏁版嵁璁粌鐨勬ā鍨嬬殑鎺ㄧ悊鍜屽井璋冿紝璇︾粏淇℃伅鍙互鍙傞槄锛圼modelscope_egs](https://alibaba-damo-academy.github.io/FunASR/en/modelscope_pipeline/quick_start.html)锛夛紱涔熸敮鎸佸鏈爣鍑嗘暟鎹泦妯″瀷鐨勮缁冨拰寰皟锛岃缁嗕俊鎭彲浠ュ弬闃咃紙[egs](https://alibaba-damo-academy.github.io/FunASR/en/academic_recipe/asr_recipe.html)锛夈��
涓嬮潰涓哄揩閫熶笂鎵嬫暀绋嬶紝娴嬭瘯闊抽锛圼涓枃](https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/vad_example.wav)锛孾鑻辨枃]()锛�
### 鍙墽琛屽懡浠よ
```shell
-funasr --model paraformer-zh asr_example_zh.wav
+funasr +model=paraformer-zh +vad_model="fsmn-vad" +punc_model="ct-punc" +input=asr_example_zh.wav
```
娉細鏀寔鍗曟潯闊抽鏂囦欢璇嗗埆锛屼篃鏀寔鏂囦欢鍒楄〃锛屽垪琛ㄤ负kaldi椋庢牸wav.scp锛歚wav_id wav_path`
### 闈炲疄鏃惰闊宠瘑鍒�
```python
-from funasr import infer
-
-p = infer(model="paraformer-zh", vad_model="fsmn-vad", punc_model="ct-punc", model_hub="ms")
-
-res = p("asr_example_zh.wav", batch_size_token=5000)
+from funasr import AutoModel
+# paraformer-zh is a multi-functional asr model
+# use vad, punc, spk or not as you need
+model = AutoModel(model="paraformer-zh", model_revision="v2.0.2", \
+ vad_model="fsmn-vad", vad_model_revision="v2.0.2", \
+ punc_model="ct-punc-c", punc_model_revision="v2.0.2", \
+ spk_model="cam++", spk_model_revision="v2.0.2")
+res = model.generate(input=f"{model.model_path}/example/asr_example.wav",
+ batch_size=64,
+ hotword='榄旀惌')
print(res)
```
娉細`model_hub`锛氳〃绀烘ā鍨嬩粨搴擄紝`ms`涓洪�夋嫨modelscope涓嬭浇锛宍hf`涓洪�夋嫨huggingface涓嬭浇銆�
### 瀹炴椂璇煶璇嗗埆
-```python
-from funasr import infer
-p = infer(model="paraformer-zh-streaming", model_hub="ms")
+```python
+from funasr import AutoModel
chunk_size = [0, 10, 5] #[0, 10, 5] 600ms, [0, 8, 4] 480ms
-param_dict = {"cache": dict(), "is_final": False, "chunk_size": chunk_size, "encoder_chunk_look_back": 4, "decoder_chunk_look_back": 1}
+encoder_chunk_look_back = 4 #number of chunks to lookback for encoder self-attention
+decoder_chunk_look_back = 1 #number of encoder chunks to lookback for decoder cross-attention
-import torchaudio
-speech = torchaudio.load("asr_example_zh.wav")[0][0]
-speech_length = speech.shape[0]
+model = AutoModel(model="paraformer-zh-streaming", model_revision="v2.0.2")
-stride_size = chunk_size[1] * 960
-sample_offset = 0
-for sample_offset in range(0, speech_length, min(stride_size, speech_length - sample_offset)):
- param_dict["is_final"] = True if sample_offset + stride_size >= speech_length - 1 else False
- input = speech[sample_offset: sample_offset + stride_size]
- rec_result = p(input=input, param_dict=param_dict)
- print(rec_result)
+import soundfile
+import os
+
+wav_file = os.path.join(model.model_path, "example/asr_example.wav")
+speech, sample_rate = soundfile.read(wav_file)
+chunk_stride = chunk_size[1] * 960 # 600ms
+
+cache = {}
+total_chunk_num = int(len((speech)-1)/chunk_stride+1)
+for i in range(total_chunk_num):
+ speech_chunk = speech[i*chunk_stride:(i+1)*chunk_stride]
+ is_final = i == total_chunk_num - 1
+ res = model.generate(input=speech_chunk, cache=cache, is_final=is_final, chunk_size=chunk_size, encoder_chunk_look_back=encoder_chunk_look_back, decoder_chunk_look_back=decoder_chunk_look_back)
+ print(res)
```
+
娉細`chunk_size`涓烘祦寮忓欢鏃堕厤缃紝`[0,10,5]`琛ㄧず涓婂睆瀹炴椂鍑哄瓧绮掑害涓篳10*60=600ms`锛屾湭鏉ヤ俊鎭负`5*60=300ms`銆傛瘡娆℃帹鐞嗚緭鍏ヤ负`600ms`锛堥噰鏍风偣鏁颁负`16000*0.6=960`锛夛紝杈撳嚭涓哄搴旀枃瀛楋紝鏈�鍚庝竴涓闊崇墖娈佃緭鍏ラ渶瑕佽缃甡is_final=True`鏉ュ己鍒惰緭鍑烘渶鍚庝竴涓瓧銆�
-鏇村璇︾粏鐢ㄦ硶锛圼鏂颁汉鏂囨。](https://alibaba-damo-academy.github.io/FunASR/en/funasr/quick_start_zh.html)锛�
+### 璇煶绔偣妫�娴嬶紙闈炲疄鏃讹級
+```python
+from funasr import AutoModel
+
+model = AutoModel(model="fsmn-vad", model_revision="v2.0.2")
+
+wav_file = f"{model.model_path}/example/asr_example.wav"
+res = model.generate(input=wav_file)
+print(res)
+```
+
+### 璇煶绔偣妫�娴嬶紙瀹炴椂锛�
+```python
+from funasr import AutoModel
+
+chunk_size = 200 # ms
+model = AutoModel(model="fsmn-vad", model_revision="v2.0.2")
+
+import soundfile
+
+wav_file = f"{model.model_path}/example/vad_example.wav"
+speech, sample_rate = soundfile.read(wav_file)
+chunk_stride = int(chunk_size * sample_rate / 1000)
+
+cache = {}
+total_chunk_num = int(len((speech)-1)/chunk_stride+1)
+for i in range(total_chunk_num):
+ speech_chunk = speech[i*chunk_stride:(i+1)*chunk_stride]
+ is_final = i == total_chunk_num - 1
+ res = model.generate(input=speech_chunk, cache=cache, is_final=is_final, chunk_size=chunk_size)
+ if len(res[0]["value"]):
+ print(res)
+```
+
+### 鏍囩偣鎭㈠
+```python
+from funasr import AutoModel
+
+model = AutoModel(model="ct-punc", model_revision="v2.0.2")
+
+res = model.generate(input="閭ｄ粖澶╃殑浼氬氨鍒拌繖閲屽惂 happy new year 鏄庡勾瑙�")
+print(res)
+```
+
+### 鏃堕棿鎴抽娴�
+```python
+from funasr import AutoModel
+
+model = AutoModel(model="fa-zh", model_revision="v2.0.0")
+
+wav_file = f"{model.model_path}/example/asr_example.wav"
+text_file = f"{model.model_path}/example/text.txt"
+res = model.generate(input=(wav_file, text_file), data_type=("sound", "text"))
+print(res)
+```
+鏇村璇︾粏鐢ㄦ硶锛圼绀轰緥](https://github.com/alibaba-damo-academy/FunASR/tree/main/examples/industrial_data_pretraining)锛�
<a name="鏈嶅姟閮ㄧ讲"></a>
@@ -173,4 +242,10 @@
pages={2063--2067},
doi={10.21437/Interspeech.2022-9996}
}
+@article{shi2023seaco,
+ author={Xian Shi and Yexin Yang and Zerui Li and Yanni Chen and Zhifu Gao and Shiliang Zhang},
+ title={{SeACo-Paraformer: A Non-Autoregressive ASR System with Flexible and Effective Hotword Customization Ability}},
+ year=2023,
+ journal={arXiv preprint arXiv:2308.03266(accepted by ICASSP2024)},
+}
```
--
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