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KAN-TTS is a speech-synthesis training framework, please try the demos we have posted at https://modelscope.cn/models?page=1&tasks=text-to-speech

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请问下SAM-BERT流式合成的方案要怎么实现?

```shell pip install git+https://github.com/alibaba-damo-academy/KAN-TTS INFO: pip is looking at multiple versions of kantts to determine which version is compatible with other requirements. This could take a while. ERROR: Package 'kantts'...

训练步数越多 反而效果不好 有杂音 有朋友遇到么

需要合成纯英文,必须用英文音频训练吗?现在我用中文音频训练后,然后推理英文的时候,效果不好,一个单词一个单词往外蹦。。 然后我想用纯英文音频训练,结果第一步数据预处理就出错,无法自动标注 大佬,怎么破?

https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html 上又只有0.2.1版本了,ttsfrd是在哪里发布新的版本?主要是和最新的autolabel1.1.8以及1.0.9resource里ttsfrd的resource不匹配啊,每次都得自己修改成上个版本的resource路径

运行过程中,不断打印“Load pinyin_en_mix_dict failed”。虽然能正常输出音频,但不知道这条log是否表明运行有问题?是不是我配置还缺了啥? 直接用的是SambertHifigan语音合成-中文-多人预训练-16k模型。 主角本如下: #!/bin/bash # SambertHifigan语音合成-中文-多人预训练-16k # git clone -b pretrain http://www.modelscope.cn/speech_tts/speech_sambert-hifigan_tts_zh-cn_multisp_pretrain_16k.git # speaker_list: 'F7,F74,FBYN,FRXL,M7,xiaoyu'} all except M7 are female res_zip=../funtts/speech_sambert-hifigan_tts_zh-cn_multisp_pretrain_16k/resource.zip am_ckpt=../funtts/speech_sambert-hifigan_tts_zh-cn_multisp_pretrain_16k/basemodel_16k/sambert/ckpt/checkpoint_980000.pth voc_ckpt=../funtts/speech_sambert-hifigan_tts_zh-cn_multisp_pretrain_16k/basemodel_16k/hifigan/ckpt/checkpoint_2000000.pth spk=xiaoyu outdir=out_$spk [ -d $outdir...

from modelscope.outputs import OutputKeys from modelscope.pipelines import pipeline from modelscope.utils.constant import Tasks from modelscope.models.audio.tts import SambertHifigan import os import time model_dir = "/home/gpu/KAN-TTS/pretrain_work_dir/" # the path of my trained speech...

Traceback (most recent call last): File "kantts/bin/train_sambert.py", line 224, in train trainer.train() File "/home/l/project/KAN-TTS_/kantts/train/trainer.py", line 210, in train self.train_epoch() File "/home/l/project/KAN-TTS_/kantts/train/trainer.py", line 223, in train_epoch self.check_eval_interval() File "/home/l/project/KAN-TTS_/kantts/train/trainer.py", line 200,...

CUDA_VISIBLE_DEVICES=0 python kantts/bin/train_hifigan.py --model_config speech_sambert-hifigan_tts_zh-cn_multisp_pretrain_16k/basemodel_16k/hifigan/config.yaml --resume_path speech_sambert-hifigan_tts_zh-cn_multisp_pretrain_16k/basemodel_16k/hifigan/ckpt/checkpoint_2000000.pth --root_dir newtest/training_stage/SSB0009_feats --stage_dir newtest/training_stage/SSB0009_hifigan_ckpt cuFFT error: CUFFT_INTERNAL_ERROR Traceback (most recent call last): File "kantts/bin/train_hifigan.py", line 171, in train trainer.train() File "/home/dufei/git/KAN-TTS/kantts/train/trainer.py", line 199,...

Great work! I wanna know how to speed up infering, need help!