（librosa）valueerror：无法将numpy数组转换为张量（无支撑对象类型float）

Question

这是我的培训数据

train_audio_path = 'C:/Users/user/OneDrive/Bureau/input1/train/audio1/'

all_wave = []
all_label = []
for label in labels:
    print(label)
    waves = [f for f in os.listdir(train_audio_path + '/'+ label) if f.endswith('.wav')]
    for wav in waves:
        samples, sample_rate = librosa.load(train_audio_path + '/' + label + '/' + wav, sr = 16000)
        if(len(samples)>=16000 or len(samples)<=16000) : 
            all_wave.append(samples)
            all_label.append(label)

在这里输入图像描述

这是我的模型：这是我的模型：

model.compile(loss='categorical_crossentropy',optimizer='adam',metrics=['accuracy'])
metric = 'val_accuracy'
es = EarlyStopping(monitor='val_loss', mode='min', verbose=1, patience=10, min_delta=0.0001) 
mc = ModelCheckpoint('best_model.hdf5', monitor=metric, verbose=1, save_best_only=True, mode='max')
# Display model architecture summary 
history=model.fit(x_tr, y_tr ,epochs=100, callbacks=[es,mc], batch_size=32, validation_data=(x_val,y_val))

这是错误i i' M Get：

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
~\AppData\Local\Temp/ipykernel_8428/2388281761.py in <module>
      1 # Display model architecture summary
----> 2 history=model.fit(x_tr, y_tr ,epochs=100, callbacks=[es,mc], batch_size=32, validation_data=(x_val,y_val))

~\anaconda3\lib\site-packages\keras\utils\traceback_utils.py in error_handler(*args, **kwargs)
     65     except Exception as e:  # pylint: disable=broad-except
     66       filtered_tb = _process_traceback_frames(e.__traceback__)
---> 67       raise e.with_traceback(filtered_tb) from None
     68     finally:
     69       del filtered_tb

~\anaconda3\lib\site-packages\tensorflow\python\framework\constant_op.py in convert_to_eager_tensor(value, ctx, dtype)
    104       dtype = dtypes.as_dtype(dtype).as_datatype_enum
    105   ctx.ensure_initialized()
--> 106   return ops.EagerTensor(value, ctx.device_name, dtype)
    107 
    108 

ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type numpy.ndarray).

我尝试搜索错误，但我找不到适合问题的解决方案 ++++任何帮助将不胜感激++++