2021-04-25 11:11:24 +08:00
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"import numpy as np\n",
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"import paddle\n",
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"from matplotlib import pyplot as plt\n",
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"from IPython import display as ipd\n",
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"import soundfile as sf\n",
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"import librosa.display\n",
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2021-04-29 16:04:32 +08:00
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"from parakeet.utils import display\n",
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2021-04-25 11:11:24 +08:00
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"paddle.set_device(\"gpu:5\")\n",
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"import sys\n",
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"sys.path.append(\"/home/chenfeiyu/projects/Parakeet_0.2/\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"metadata": {},
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"outputs": [],
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"source": [
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"%matplotlib inline"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## 加载模型"
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]
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{
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"cell_type": "code",
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"execution_count": 11,
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"metadata": {},
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"outputs": [],
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"source": [
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"from examples.ge2e.audio_processor import SpeakerVerificationPreprocessor\n",
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"from parakeet.models.lstm_speaker_encoder import LSTMSpeakerEncoder\n",
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"\n",
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"# speaker encoder\n",
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2021-04-29 16:04:32 +08:00
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"p = SpeakerVerificationPreprocessor(\n",
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" sampling_rate=16000, \n",
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" audio_norm_target_dBFS=-30, \n",
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" vad_window_length=30, \n",
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" vad_moving_average_width=8, \n",
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" vad_max_silence_length=6, \n",
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" mel_window_length=25, \n",
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" mel_window_step=10, \n",
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" n_mels=40, \n",
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" partial_n_frames=160, \n",
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" min_pad_coverage=0.75, \n",
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" partial_overlap_ratio=0.5)\n",
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2021-04-25 11:11:24 +08:00
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"speaker_encoder = LSTMSpeakerEncoder(n_mels=40, num_layers=3, hidden_size=256, output_size=256)\n",
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"speaker_encoder_params_path = \"/home/chenfeiyu/projects/Parakeet_0.2/examples/ge2e/runs/cn/checkpoints/step-3000000.pdparams\"\n",
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"speaker_encoder.set_state_dict(paddle.load(speaker_encoder_params_path))\n",
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"speaker_encoder.eval()\n",
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"\n",
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"# synthesizer\n",
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"from parakeet.models.tacotron2 import Tacotron2\n",
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"from examples.tacotron2_aishell3.chinese_g2p import convert_sentence\n",
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"from examples.tacotron2_aishell3.aishell3 import voc_phones, voc_tones\n",
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"\n",
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"from yacs.config import CfgNode\n",
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"synthesizer = Tacotron2(\n",
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" vocab_size=70,\n",
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" n_tones=10,\n",
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" d_mels= 80,\n",
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" d_encoder= 512,\n",
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" encoder_conv_layers = 3,\n",
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" encoder_kernel_size= 5,\n",
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" d_prenet= 256,\n",
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" d_attention_rnn= 1024,\n",
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" d_decoder_rnn = 1024,\n",
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" attention_filters = 32,\n",
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" attention_kernel_size = 31,\n",
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" d_attention= 128,\n",
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" d_postnet = 512,\n",
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" postnet_kernel_size = 5,\n",
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" postnet_conv_layers = 5,\n",
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" reduction_factor = 1,\n",
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" p_encoder_dropout = 0.5,\n",
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" p_prenet_dropout= 0.5,\n",
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" p_attention_dropout= 0.1,\n",
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" p_decoder_dropout= 0.1,\n",
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" p_postnet_dropout= 0.5,\n",
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" d_global_condition=256,\n",
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2021-04-29 16:04:32 +08:00
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" use_stop_token=False,\n",
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2021-04-25 11:11:24 +08:00
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")\n",
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"params_path = \"/home/chenfeiyu/projects/Parakeet_0.2/examples/tacotron2_aishell3/runs/debug/checkpoints/step-55000.pdparams\"\n",
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"synthesizer.set_state_dict(paddle.load(params_path))\n",
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"synthesizer.eval()\n",
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"\n",
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"# vocoder\n",
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"from parakeet.models import ConditionalWaveFlow\n",
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"vocoder = ConditionalWaveFlow(upsample_factors=[16, 16], n_flows=8, n_layers=8, n_group=16, channels=128, n_mels=80, kernel_size=[3, 3])\n",
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"params_path = \"/home/chenfeiyu/projects/parakeet_examples/waveflow/step-2000000.pdparams\"\n",
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"vocoder.set_state_dict(paddle.load(params_path))\n",
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"vocoder.eval()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## 生成 speaker encoding"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 18,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"\n",
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" <audio controls=\"controls\" >\n",
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" <source src=\"data:audio/x-wav;base64,UklGRmaYBQBXQVZFZm10IBAAAAABAAEAgLsAAAB3AQACABAATElTVDoAAABJTkZPSU5BTRcAAADnmb7luqbnp5HmioDlm60y5Y+35qW8AABJU0ZUDgAAAExhdmY1OC40NS4xMDAAZGF0YQCYBQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
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" Your browser does not support the audio element.\n",
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" </audio>\n",
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" "
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],
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"text/plain": [
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"<IPython.lib.display.Audio object>"
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]
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},
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"execution_count": 18,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"# ref_audio_path = \"/home/chenfeiyu/datasets/aishell3/train/wav/SSB0011/SSB00110001.wav\"\n",
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"ref_name = \"女声2.wav\"\n",
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"ref_audio_path = f\"./ref_audio/{ref_name}\"\n",
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"ipd.Audio(ref_audio_path, normalize=True)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 19,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"mel_sequences: (2, 160, 40)\n",
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"embed shape: [256]\n"
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]
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}
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],
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"source": [
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"mel_sequences = p.extract_mel_partials(p.preprocess_wav(ref_audio_path))\n",
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"print(\"mel_sequences: \", mel_sequences.shape)\n",
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"with paddle.no_grad():\n",
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" embed = speaker_encoder.embed_utterance(paddle.to_tensor(mel_sequences))\n",
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"print(\"embed shape: \", embed.shape)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## 合成频谱"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 20,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"['v', 'ien', 'd', 'e', 'b', 'iao', 'x', 'ian', 'x', 'ieng', 'sh', 'iii', '%', 'z', 'ai', 'uei', 'l', 'ai', '%', 'j', 'iang', 'b', 'ian', 'd', 'e', 've', 'l', 'ai', 've', 'zh', 'ueng', 'iao', '$']\n",
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"['3', '1', '0', '5', '0', '3', '0', '4', '0', '2', '0', '4', '0', '0', '4', '4', '0', '2', '0', '0', '1', '0', '4', '0', '2', '4', '0', '2', '4', '0', '4', '4', '0']\n"
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]
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}
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],
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"source": [
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"sentence = \"语音的表现形式%在未来%将变得越来越重要$\"\n",
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"phones, tones = convert_sentence(sentence)\n",
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"print(phones)\n",
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"print(tones)\n",
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"\n",
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"phones = np.array([voc_phones.lookup(item) for item in phones], dtype=np.int64)\n",
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"tones = np.array([voc_tones.lookup(item) for item in tones], dtype=np.int64)\n",
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"\n",
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"phones = paddle.to_tensor(phones).unsqueeze(0)\n",
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"tones = paddle.to_tensor(tones).unsqueeze(0)\n",
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"utterance_embeds = paddle.unsqueeze(embed, 0)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 21,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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" 35%|███▍ | 349/1000 [00:01<00:02, 233.91it/s]"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"content exhausted!\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"\n"
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]
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},
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{
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"data": {
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"text/plain": [
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"<matplotlib.image.AxesImage at 0x7f8e32504f90>"
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]
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},
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"execution_count": 21,
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"metadata": {},
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"output_type": "execute_result"
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},
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{
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"data": {
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"image/png": "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
|
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|
"text/plain": [
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|
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|
|
"<Figure size 432x288 with 1 Axes>"
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|
]
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},
|
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|
"metadata": {
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"needs_background": "light"
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},
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"output_type": "display_data"
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|
}
|
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|
|
],
|
|
|
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"source": [
|
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|
|
"outputs = synthesizer.infer(phones, tones=tones, global_condition=utterance_embeds)\n",
|
|
|
|
|
"mel_input = paddle.transpose(outputs[\"mel_outputs_postnet\"], [0, 2, 1])\n",
|
2021-04-29 16:04:32 +08:00
|
|
|
"fig = display(outputs[\"alignments\"][0].numpy().T)"
|
2021-04-25 11:11:24 +08:00
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]
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},
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{
|
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|
"cell_type": "markdown",
|
|
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"metadata": {},
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|
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"source": [
|
|
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|
|
"## 合成语音"
|
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|
|
]
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|
},
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{
|
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"cell_type": "code",
|
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|
|
"execution_count": 22,
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|
"metadata": {},
|
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|
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"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"name": "stdout",
|
|
|
|
|
"output_type": "stream",
|
|
|
|
|
"text": [
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|
|
"time: 12.234672784805298s\n"
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|
]
|
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|
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},
|
|
|
|
|
{
|
|
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|
|
"data": {
|
|
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|
"text/plain": [
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|
"<matplotlib.collections.PolyCollection at 0x7f8e325bc150>"
|
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|
|
]
|
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},
|
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|
"execution_count": 22,
|
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"metadata": {},
|
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"output_type": "execute_result"
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|
},
|
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|
|
|
{
|
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|
|
"data": {
|
|
|
|
|
"image/png": "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
|
|
|
|
|
"text/plain": [
|
|
|
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"metadata": {
|
|
|
|
|
"needs_background": "light"
|
|
|
|
|
},
|
|
|
|
|
"output_type": "display_data"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"with paddle.no_grad():\n",
|
|
|
|
|
" wav = vocoder.infer(mel_input)\n",
|
|
|
|
|
"wav = wav.numpy()[0]\n",
|
|
|
|
|
"sf.write(f\"syn_audio/{ref_name}\", wav, samplerate=22050)\n",
|
|
|
|
|
"librosa.display.waveplot(wav)"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 23,
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"text/html": [
|
|
|
|
|
"\n",
|
|
|
|
|
" <audio controls=\"controls\" >\n",
|
|
|
|
|
" <source src=\"data:audio/wav;base64,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" Your browser does not support the audio element.\n",
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" </audio>\n",
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" "
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],
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"text/plain": [
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"<IPython.lib.display.Audio object>"
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]
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},
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"execution_count": 23,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"ipd.Audio(wav, rate=22050)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
|
2021-04-29 16:04:32 +08:00
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"version": "3.7.5"
|
2021-04-25 11:11:24 +08:00
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
|
