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102 lines
4.5 KiB
102 lines
4.5 KiB
# This is the parameter configuration file for streaming tts server.
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#################################################################################
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# SERVER SETTING #
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#################################################################################
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host: 0.0.0.0
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port: 8192
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# The task format in the engin_list is: <speech task>_<engine type>
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# engine_list choices = ['tts_online', 'tts_online-onnx'], the inference speed of tts_online-onnx is faster than tts_online.
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# protocol choices = ['websocket', 'http']
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protocol: 'websocket'
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engine_list: ['tts_online-onnx']
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#################################################################################
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# ENGINE CONFIG #
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#################################################################################
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################################### TTS #########################################
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################### speech task: tts; engine_type: online #######################
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tts_online:
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# am (acoustic model) choices=['fastspeech2_csmsc', 'fastspeech2_cnndecoder_csmsc']
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# fastspeech2_cnndecoder_csmsc support streaming am infer.
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am: 'fastspeech2_csmsc'
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am_config:
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am_ckpt:
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am_stat:
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phones_dict:
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tones_dict:
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speaker_dict:
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# voc (vocoder) choices=['mb_melgan_csmsc, hifigan_csmsc']
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# Both mb_melgan_csmsc and hifigan_csmsc support streaming voc inference
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voc: 'mb_melgan_csmsc'
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voc_config:
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voc_ckpt:
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voc_stat:
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# others
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lang: 'zh'
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device: 'cpu' # set 'gpu:id' or 'cpu'
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# am_block and am_pad only for fastspeech2_cnndecoder_onnx model to streaming am infer,
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# when am_pad set 12, streaming synthetic audio is the same as non-streaming synthetic audio
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am_block: 72
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am_pad: 12
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# voc_pad and voc_block voc model to streaming voc infer,
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# when voc model is mb_melgan_csmsc, voc_pad set 14, streaming synthetic audio is the same as non-streaming synthetic audio; The minimum value of pad can be set to 7, streaming synthetic audio sounds normal
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# when voc model is hifigan_csmsc, voc_pad set 19, streaming synthetic audio is the same as non-streaming synthetic audio; voc_pad set 14, streaming synthetic audio sounds normal
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voc_block: 36
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voc_pad: 14
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#################################################################################
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# ENGINE CONFIG #
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#################################################################################
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################################### TTS #########################################
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################### speech task: tts; engine_type: online-onnx #######################
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tts_online-onnx:
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# am (acoustic model) choices=['fastspeech2_csmsc_onnx', 'fastspeech2_cnndecoder_csmsc_onnx']
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# fastspeech2_cnndecoder_csmsc_onnx support streaming am infer.
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am: 'fastspeech2_cnndecoder_csmsc_onnx'
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# am_ckpt is a list, if am is fastspeech2_cnndecoder_csmsc_onnx, am_ckpt = [encoder model, decoder model, postnet model];
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# if am is fastspeech2_csmsc_onnx, am_ckpt = [ckpt model];
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am_ckpt: # list
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am_stat:
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phones_dict:
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tones_dict:
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speaker_dict:
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am_sample_rate: 24000
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am_sess_conf:
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device: "cpu" # set 'gpu:id' or 'cpu'
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use_trt: False
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cpu_threads: 4
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# voc (vocoder) choices=['mb_melgan_csmsc_onnx, hifigan_csmsc_onnx']
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# Both mb_melgan_csmsc_onnx and hifigan_csmsc_onnx support streaming voc inference
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voc: 'mb_melgan_csmsc_onnx'
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voc_ckpt:
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voc_sample_rate: 24000
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voc_sess_conf:
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device: "cpu" # set 'gpu:id' or 'cpu'
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use_trt: False
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cpu_threads: 4
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# others
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lang: 'zh'
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# am_block and am_pad only for fastspeech2_cnndecoder_onnx model to streaming am infer,
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# when am_pad set 12, streaming synthetic audio is the same as non-streaming synthetic audio
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am_block: 72
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am_pad: 12
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# voc_pad and voc_block voc model to streaming voc infer,
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# when voc model is mb_melgan_csmsc_onnx, voc_pad set 14, streaming synthetic audio is the same as non-streaming synthetic audio; The minimum value of pad can be set to 7, streaming synthetic audio sounds normal
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# when voc model is hifigan_csmsc_onnx, voc_pad set 19, streaming synthetic audio is the same as non-streaming synthetic audio; voc_pad set 14, streaming synthetic audio sounds normal
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voc_block: 36
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voc_pad: 14
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# voc_upsample should be same as n_shift on voc config.
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voc_upsample: 300
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