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【TTS】启动英文流式服务报错 #3733
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开发者你好,感谢关注 PaddleSpeech 开源项目,抱歉给你带来了不好的开发体验,目前开源项目维护人力有限,你可以尝试通过修改 PaddleSpeech 源码的方式自己解决,或请求开源社区其他开发者的协助。飞桨开源社区交流频道:飞桨AI Studio星河社区-人工智能学习与实训社区 |
请问解决没?我改成混合模型报错和你一样。 |
不支持英文流式 @jianghuakun |
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根据中文的demo改了一下am和voc,启动失败,看报错好像只支持中文流式?下面是我的配置:
``
#################################################################################
SERVER SETTING
#################################################################################
host: 0.0.0.0
port: 8888
The task format in the engin_list is: _
engine_list choices = ['tts_online', 'tts_online-onnx'], the inference speed of tts_online-onnx is faster than tts_online.
protocol choices = ['websocket', 'http']
protocol: 'websocket'
engine_list: ['tts_online-onnx']
#################################################################################
ENGINE CONFIG
#################################################################################
################################### TTS #########################################
################### speech task: tts; engine_type: online-onnx #######################
tts_online-onnx:
# am (acoustic model) choices=['fastspeech2_csmsc_onnx', 'fastspeech2_cnndecoder_csmsc_onnx']
# fastspeech2_cnndecoder_csmsc_onnx support streaming am infer.
am: 'fastspeech2_ljspeech_onnx'
# am_ckpt is a list, if am is fastspeech2_cnndecoder_csmsc_onnx, am_ckpt = [encoder model, decoder model, postnet model];
# if am is fastspeech2_csmsc_onnx, am_ckpt = [ckpt model];
am_ckpt: # list
am_stat:
phones_dict:
tones_dict:
speaker_dict:
am_sample_rate: 24000
am_sess_conf:
device: "cpu" # set 'gpu:id' or 'cpu'
use_trt: False
cpu_threads: 4
``
报错信息:
[2024-04-01 07:29:24,459] [ ERROR] - Please check config, am support: fastspeech2, voc support: hifigan_csmsc-zh or mb_melgan_csmsc.
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