docs

游雁

2023-04-20 3927728a432079c54e442c22bb6389c2753df853

docs

 docs/index.rst

@@ -47,6 +47,7 @@
   ./modescope_pipeline/punc_pipeline.md
   ./modescope_pipeline/tp_pipeline.md
   ./modescope_pipeline/sv_pipeline.md
   ./modescope_pipeline/sd_pipeline.md
   ./modescope_pipeline/lm_pipeline.md

.. toctree::

 docs/modescope_pipeline/lm_pipeline.md

@@ -1,4 +1,4 @@
# Speech Recognition
# Language Models

## Inference with pipeline
### Quick start

 docs/modescope_pipeline/quick_start.md

@@ -87,6 +87,33 @@
print(rec_result["scores"][0])
```

### Speaker diarization
#### SOND
```python
from modelscope.pipelines import pipeline
from modelscope.utils.constant import Tasks

inference_diar_pipline = pipeline(
    mode="sond_demo",
    num_workers=0,
    task=Tasks.speaker_diarization,
    diar_model_config="sond.yaml",
    model='damo/speech_diarization_sond-en-us-callhome-8k-n16k4-pytorch',
    sv_model="damo/speech_xvector_sv-en-us-callhome-8k-spk6135-pytorch",
    sv_model_revision="master",
)

audio_list=[
    "https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_data/record.wav",
    "https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_data/spk_A.wav",
    "https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_data/spk_B.wav",
    "https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_data/spk_B1.wav"
]

results = inference_diar_pipline(audio_in=audio_list)
print(results)
```

### FAQ
#### How to switch device from GPU to CPU with pipeline


 docs/modescope_pipeline/sd_pipeline.md

New file
@@ -0,0 +1,20 @@
# Speaker diarization

## Inference with pipeline

### Quick start

### Inference with you data

### Inference with multi-threads on CPU

### Inference with multi GPU

## Finetune with pipeline

### Quick start

### Finetune with your data

## Inference with your finetuned model