Merge pull request #1249 from alibaba-damo-academy/main

Shi Xian

2024-01-16 948b68774cebf2b9a2994b7b9b8102f9637a98f3

 README.md

@@ -61,7 +61,6 @@
|                paraformer-zh-spk <br> ( [⭐](https://modelscope.cn/models/damo/speech_paraformer-large-vad-punc-spk_asr_nat-zh-cn/summary)  [🤗]() )                | speech recognition with speaker diarization, with timestamps, non-streaming |      60000 hours, Mandarin       |    220M    |
| <nobr>paraformer-zh-online <br> ( [⭐](https://modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online/summary) [🤗]() )</nobr> |                        speech recognition, streaming                        |      60000 hours, Mandarin       |    220M    |
|         paraformer-en <br> ( [⭐](https://www.modelscope.cn/models/damo/speech_paraformer-large-vad-punc_asr_nat-en-16k-common-vocab10020/summary) [🤗]() )         |             speech recognition, with timestamps, non-streaming              |       50000 hours, English       |    220M    |
|                                                               paraformer-en-spk <br> ([⭐]()[🤗]()  )                                                               |         speech recognition with speaker diarization, non-streaming          |               Undo               |    Undo    |
|                     conformer-en <br> ( [⭐](https://modelscope.cn/models/damo/speech_conformer_asr-en-16k-vocab4199-pytorch/summary) [🤗]() )                      |                      speech recognition, non-streaming                      |       50000 hours, English       |    220M    |
|                     ct-punc <br> ( [⭐](https://modelscope.cn/models/damo/punc_ct-transformer_cn-en-common-vocab471067-large/summary) [🤗]() )                      |                           punctuation restoration                           |    100M, Mandarin and English    |    1.1G    | 
|                          fsmn-vad <br> ( [⭐](https://modelscope.cn/models/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch/summary) [🤗]() )                          |                          voice activity detection                           | 5000 hours, Mandarin and English |    0.4M    | 
@@ -97,7 +96,7 @@
                  punc_model="ct-punc-c", punc_model_revision="v2.0.2", \
                  spk_model="cam++", spk_model_revision="v2.0.2")
res = model(input=f"{model.model_path}/example/asr_example.wav", 
            batch_size=16, 
            batch_size=64, 
            hotword='魔搭')
print(res)
```
@@ -135,7 +134,6 @@
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(input=wav_file)
print(res)
@@ -167,7 +165,6 @@
from funasr import AutoModel

model = AutoModel(model="ct-punc", model_revision="v2.0.2")

res = model(input="那今天的会就到这里吧 happy new year 明年见")
print(res)
```
@@ -176,9 +173,8 @@
from funasr import AutoModel

model = AutoModel(model="fa-zh", model_revision="v2.0.2")

wav_file = f"{model.model_path}/example/asr_example.wav"
text_file = f"{model.model_path}/example/asr_example.wav"
text_file = f"{model.model_path}/example/text.txt"
res = model(input=(wav_file, text_file), data_type=("sound", "text"))
print(res)
```