Merge branch 'main' of github.com:alibaba-damo-academy/FunASR

add

egs_modelscope/asr/mfcca/speech_mfcca_asr-zh-cn-16k-alimeeting-vocab4950/RESULTS.md

@@ -1,5 +1,5 @@
 # Paraformer-Large
-- Model link: <https://www.modelscope.cn/models/yufan6/speech_mfcca_asr-zh-cn-16k-alimeeting-vocab4950/summary>
+- Model link: <https://www.modelscope.cn/models/NPU-ASLP/speech_mfcca_asr-zh-cn-16k-alimeeting-vocab4950/summary>
 - Model size: 45M
 
 # Environments

egs_modelscope/asr/mfcca/speech_mfcca_asr-zh-cn-16k-alimeeting-vocab4950/finetune.py

@@ -24,12 +24,12 @@ def modelscope_finetune(params):
 
 if __name__ == '__main__':
     
-    params = modelscope_args(model="yufan6/speech_mfcca_asr-zh-cn-16k-alimeeting-vocab4950")
+    params = modelscope_args(model="NPU-ASLP/speech_mfcca_asr-zh-cn-16k-alimeeting-vocab4950")
     params.output_dir = "./checkpoint"              # m模型保存路径
     params.data_path = "./example_data/"            # 数据路径
     params.dataset_type = "small"                   # 小数据量设置small，若数据量大于1000小时，请使用large
     params.batch_bins = 1000                       # batch size，如果dataset_type="small"，batch_bins单位为fbank特征帧数，如果dataset_type="large"，batch_bins单位为毫秒，
     params.max_epoch = 10                           # 最大训练轮数
     params.lr = 0.0001                             # 设置学习率
-    params.model_revision = 'v2.0.0'
+    params.model_revision = 'v1.0.0'
     modelscope_finetune(params)

egs_modelscope/asr/mfcca/speech_mfcca_asr-zh-cn-16k-alimeeting-vocab4950/infer.py

@@ -18,8 +18,8 @@ def modelscope_infer_core(output_dir, split_dir, njob, idx):
         os.environ['CUDA_VISIBLE_DEVICES'] = str(gpu_id)
     inference_pipline = pipeline(
         task=Tasks.auto_speech_recognition,
-	    model='yufan6/speech_mfcca_asr-zh-cn-16k-alimeeting-vocab4950',
-        model_revision='v2.0.0',
+	    model='NPU-ASLP/speech_mfcca_asr-zh-cn-16k-alimeeting-vocab4950',
+        model_revision='v1.0.0',
         output_dir=output_dir_job,
         batch_size=1,
     )

egs_modelscope/asr/mfcca/speech_mfcca_asr-zh-cn-16k-alimeeting-vocab4950/infer_after_finetune.py

@@ -59,7 +59,7 @@ def modelscope_infer_after_finetune(params):
 
 if __name__ == '__main__':
     params = {}
-    params["modelscope_model_name"] = "yufan6/speech_mfcca_asr-zh-cn-16k-alimeeting-vocab4950"
+    params["modelscope_model_name"] = "NPU-ASLP/speech_mfcca_asr-zh-cn-16k-alimeeting-vocab4950"
     params["required_files"] = ["feats_stats.npz", "decoding.yaml", "configuration.json"]
     params["output_dir"] = "./checkpoint"
     params["data_dir"] = "./example_data/validation"