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Automatic Speech Recognition(ASR), Text-To-Speech(TTS) engine. 中英语音识别、多角色语音合成,支持多语言,准确率高

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>>> import parrots >>> text = parrots.speech_recognition_from_file('./16k.wav') Traceback (most recent call last): File "", line 1, in AttributeError: module 'parrots' has no attribute 'speech_recognition_from_file' How to solve this problem? Thanks.

ImportError: cannot import name 'Adam' from 'keras.optimizers'

1. Add tf 2.6 support 2. fix pinyin_hanzi_dict path

配合 tensorflow==1.13.1 需要使用的keras版本号是?

- [ ] I checked to make sure that this is not a duplicate issue ### Describe the solution you'd like A clear and concise description of what you want...

enhancement

大佬您好,执行完m.predict()推理以后,显存是不会立马释放掉,请问如何可以释放掉显存占用。

enhancement

![image](https://github.com/shibing624/parrots/assets/40717349/2c531c1e-ed12-4821-a899-baf6edb599ca) 运行web 页面也是卡着不动 ![image](https://github.com/shibing624/parrots/assets/40717349/71068630-41bc-4532-b5f1-eacbcd9428ed)

bug

rying to resume download... pytorch_model.bin: 19%|██████████ | 126M/651M [01:30

question

### Describe the Question Please provide a clear and concise description of what the question is. 群主您好,我用单独再训练的模型放进去,效果跟gpt-sovits的那个基本是一样的,效果也非常好。 但有个问题是,我在测试gpt-sovits这个默认模型的时候,gpt-sovits的效果很好, 但是在parrots引入用gpt-sovits的默认模型,效果却不一样,不知道是否是代码还需要在哪里完善呢? sovits_model_path 和gpt_model_path都是默认模型地址 m = TextToSpeech( bert_model_path = pwd_path+"/models/gpts_pretrained_models/chinese-roberta-wwm-ext-large", hubert_model_path = pwd_path+"/models/gpts_pretrained_models/chinese-hubert-base",...

question