forwiat

inference speed

1

Hello @maxrmorrison , thanks for your contribution about cargan. In my experiment of cargan, the model inference speed is slow although it was setted AUTOREGRESSIVE=False. I wonder that how to...

maybe there is a bug in fastspeech.py

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hello rishikksh20, thanks for your contribution! I found a problem when training with these code. in line 415, fastspeech.py ``` if avg_mel is not None: avg_mel = avg_mel.unsqueeze(0) # inference...

about sampler buckets in dataloader

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code in lines 323 in data_utils.py: ``` for i in range(len(buckets) - 1, 0, -1): if len(buckets[i]) == 0: buckets.pop(i) self.boundaries.pop(i+1) ``` it return the left num in function "_bisect",...

how are enrollment.csv and annotation.csv format.

questions about model training

4

hello, yuyq96, Thank you so much for the great work you've shared. I learned that D-TDNNSS mini-batch setting 128 from D-TDNN paper. But this model is too large to train...

Hi author, thanks for you sharing the creative project. When I read the paper and code, I found that it is no needed speaker labels when training LauraTTS. The same...

make error

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make Error log: ``` /tmp/ccLXLGtH.s: Assembler messages: /tmp/ccLXLGtH.s:21346: Error: symbol `_ZZN8inferllm3opt24vec_vec_dot_q40_with_q80EiPKvS2_E19__PRETTY_FUNCTION__' is already defined /tmp/ccLXLGtH.s:21351: Error: symbol `_ZZN8inferllm3opt24vec_vec_dot_q40_with_q80EiPKvS2_E19__PRETTY_FUNCTION__' is already defined /tmp/ccLXLGtH.s:21381: Error: symbol `_ZZN8inferllm3opt19dequantize_row_q4_0EPKvPfiE19__PRETTY_FUNCTION__' is already defined make[2]: ***...