Comments (6)
@Mddct I don't quite understand your question and example. Currently we tokenize string (aka label) into list of characters or list of subwords.
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Output label and its start time and end time in orign wav。
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@Mddct Oh, currently we don't support that feature yet. But I'll look into it. Anyway, if you have any idea of doing that, especially for rnn transducer, can you update here?
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There's this but for CTC, maybe we can apply it with some modification.
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@usimarit It seems two steps:
1 calculate the mean_start_shift, mean_end_shift
2 apply shift on each start and end
I will evaluate the accuracy later. But for other language or own corpus, we need do force aligment to get time information。
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Related Issues (20)
- unexpected truncation of the dataset HOT 2
- TypeError: Unable to serialize 144.0 to JSON. Unrecognized type <class 'tensorflow.python.framework.ops.EagerTensor HOT 6
- ValueError: Shape mismatch in layer #1 (named conformer_prediction) for weight conformer/conformer_prediction/conformer_prediction_embedding/embeddings:0 HOT 1
- Multi-GPU card training with MirrorStrategy wait forever after loading the cudnn HOT 1
- Empty TFLite output HOT 3
- rnn_transducer test error HOT 1
- rnn transducer inference
- RNNT loss HOT 1
- conformer.tflite increases the wer compared to tensorflow conformer HOT 3
- Unused dependency Pillow incompatible with python 3.6 HOT 2
- Is the Vietnamese dataset INFoRe a single speaker dataset HOT 2
- full int8 quantisation
- Issue about CharFeaturizer HOT 1
- Inference Problem with DeepSpeech2
- training problem with rnn_transducer HOT 8
- Masking in encoder HOT 2
- Can you make an example HOT 1
- Librispeech_train_4_1030.subword Not compatible HOT 5
- test.py not run with cpu=false HOT 4
- Still maintained? HOT 3
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