Comments (1)
In the first script, 2599 is the number of tokens used in training ctc. The name of the variable is not particularly appropriate and may lead to misunderstandings.
In the second, 2 is the number of the real keywords (i.e. "你好问问" and "嗨小问")
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Related Issues (20)
- 内存溢出 HOT 1
- fsmn模型无法在android上运行。 HOT 11
- 内存占用溢出问题 HOT 2
- Loss didn’t drop when training FSMN_CTC. HOT 15
- stream推理运行时间久后就很难唤醒 HOT 3
- ds_tcn convert to tflite model to be a large model HOT 1
- have a ready-made onnx file? HOT 3
- Train and stream HOT 2
- 执行wekws/examples/speechcommand_v1/s0/run.sh 报错:KeyError: 'num_layers' HOT 1
- examples/speechcommand_v1/s0 训练的ONNX模型可以转换成ort格式吗 HOT 4
- examples/speechcommand_v1/s0训练的模型在android系统上怎么运行? HOT 2
- A potential problem on training batch size HOT 2
- Number of validation utterance HOT 1
- fbank window function discrepancy between training and deployment
- effect of local shuffle
- 训练的mdtc small模型推理输出概率总是在第一唤醒词 HOT 2
- About c++11 Using smart Pointers causes source code error protection problems HOT 1
- 在stream_kws_ctc.py中注释的是每0.3秒推理一次,但是interval = int(0.3 * 16000) *2,这里为什么要乘2?
- torch.distributed.elastic.rendezvous.api.RendezvousConnectionError: The connection to the C10d store has failed. See inner exception for details.
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