中文离线转写服务(CPU)如何配置说话人识别模块

[jlljill]

Notice: In order to resolve issues more efficiently, please raise issue following the template. （注意：为了更加高效率解决您遇到的问题，请按照模板提问，补充细节）

❓ Questions and Help

中文离线转写服务(CPU)如何配置说话人识别模块， 目前没有看到说话人识别的model配置？

Code

nohup bash run_server.sh
--download-model-dir /workspace/models
--vad-dir damo/speech_fsmn_vad_zh-cn-16k-common-onnx
--model-dir damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-onnx
--punc-dir damo/punc_ct-transformer_zh-cn-common-vocab272727-onnx
--lm-dir damo/speech_ngram_lm_zh-cn-ai-wesp-fst
--itn-dir thuduj12/fst_itn_zh
--certfile 0
--decoder-thread-num 32
--io-thread-num 8
--hotword /workspace/models/hotwords.txt > log.out 2>&1 &

What have you tried?

调用model已经可以实现

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="v2.0.4", vad_model="fsmn-vad", vad_model_revision="v2.0.4", punc_model="ct-punc-c", punc_model_revision="v2.0.4", spk_model="cam++", spk_model_revision="v2.0.2", ) res = model.generate(input=f"E:\360MoveData\Users\jll\Desktop\test.wav", batch_size_s=300, hotword='') print(res)

What's your environment?

• OS Windows 11:
• FunASR Version 1.0:
• ModelScope Version (e.g., 1.11.0):
• PyTorch Version (e.g., 2.0.0):
• How you installed funasr pip and source:
• Python version: 3.10
• GPU (e.g., V100M32)
• CUDA/cuDNN version (e.g., cuda11.7):
• Docker version (e.g., funasr-runtime-sdk-cpu-0.4.1)
• Any other relevant information: