add streaming tts scripts

demos/streaming_tts_server/client.sh

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+#!/bin/bash
+
+# http client test
+# If `127.0.0.1` is not accessible, you need to use the actual service IP address.
+paddlespeech_client tts_online --server_ip 127.0.0.1 --port 8092 --protocol http --input "您好，欢迎使用百度飞桨语音合成服务。" --output output.http.wav
+
+# websocket client test
+# If `127.0.0.1` is not accessible, you need to use the actual service IP address.
+paddlespeech_client tts_online --server_ip 127.0.0.1 --port 8192 --protocol websocket --input "您好，欢迎使用百度飞桨语音合成服务。" --output output.ws.wav

demos/streaming_tts_server/conf/tts_online_ws_application.yaml

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+# This is the parameter configuration file for streaming tts server.
+
+#################################################################################
+#                             SERVER SETTING                                    #
+#################################################################################
+host: 0.0.0.0
+port: 8192
+
+# The task format in the engin_list is: <speech task>_<engine type>
+# 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 #######################
+tts_online: 
+    # am (acoustic model) choices=['fastspeech2_csmsc', 'fastspeech2_cnndecoder_csmsc']   
+    # fastspeech2_cnndecoder_csmsc support streaming am infer.     
+    am: 'fastspeech2_csmsc'   
+    am_config: 
+    am_ckpt: 
+    am_stat: 
+    phones_dict: 
+    tones_dict: 
+    speaker_dict: 
+    spk_id: 0
+
+    # voc (vocoder) choices=['mb_melgan_csmsc, hifigan_csmsc']
+    # Both mb_melgan_csmsc and hifigan_csmsc support streaming voc inference
+    voc: 'mb_melgan_csmsc'
+    voc_config: 
+    voc_ckpt: 
+    voc_stat: 
+
+    # others
+    lang: 'zh'
+    device: 'cpu' # set 'gpu:id' or 'cpu'
+    # am_block and am_pad only for fastspeech2_cnndecoder_onnx model to streaming am infer,
+    # when am_pad set 12, streaming synthetic audio is the same as non-streaming synthetic audio
+    am_block: 72
+    am_pad: 12
+    # voc_pad and voc_block voc model to streaming voc infer,
+    # 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
+    # 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
+    voc_block: 36
+    voc_pad: 14
+    
+
+
+#################################################################################
+#                                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_cnndecoder_csmsc_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: 
+    spk_id: 0
+    am_sample_rate: 24000
+    am_sess_conf:
+        device: "cpu" # set 'gpu:id' or 'cpu'
+        use_trt: False
+        cpu_threads: 4
+
+    # voc (vocoder) choices=['mb_melgan_csmsc_onnx, hifigan_csmsc_onnx']
+    # Both mb_melgan_csmsc_onnx and hifigan_csmsc_onnx support streaming voc inference
+    voc: 'hifigan_csmsc_onnx'
+    voc_ckpt: 
+    voc_sample_rate: 24000
+    voc_sess_conf:
+        device: "cpu" # set 'gpu:id' or 'cpu'
+        use_trt: False
+        cpu_threads: 4
+
+    # others
+    lang: 'zh'
+    # am_block and am_pad only for fastspeech2_cnndecoder_onnx model to streaming am infer,
+    # when am_pad set 12, streaming synthetic audio is the same as non-streaming synthetic audio
+    am_block: 72
+    am_pad: 12
+    # voc_pad and voc_block voc model to streaming voc infer,
+    # 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
+    # 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
+    voc_block: 36
+    voc_pad: 14
+    # voc_upsample should be same as n_shift on voc config.
+    voc_upsample: 300
+    

demos/streaming_tts_server/server.sh

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+#!/bin/bash
+
+# http server
+paddlespeech_server start --config_file ./conf/tts_online_application.yaml &> tts.http.log &
+
+
+# websocket server
+paddlespeech_server start --config_file ./conf/tts_online_ws_application.yaml &> tts.ws.log &
+
+