add svs demo

.gitignore

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+__pycache__
+.gradio

app.py

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+import os
+import torch
+import librosa
+import numpy as np
+import gradio as gr
+import pyopenjtalk
+from util import preprocess_input, postprocess_phn, get_tokenizer, load_pitch_dict, get_pinyin
+
+from espnet_model_zoo.downloader import ModelDownloader
+from espnet2.bin.svs_inference import SingingGenerate
+
+
+singer_embeddings = {
+    "Model①(Chinese)-zh": {
+        "singer1 (male)": 1,
+        "singer2 (female)": 12,
+        "singer3 (male)": 23,
+        "singer4 (female)": 29,
+        "singer5 (male)": 18,
+        "singer6 (female)": 8,
+        "singer7 (male)": 25,
+        "singer8 (female)": 5,
+        "singer9 (male)": 10,
+        "singer10 (female)": 15,
+    },
+    "Model②(Multilingual)-zh": {
+        "singer1 (male)": "resource/singer/singer_embedding_ace-1.npy",
+        "singer2 (female)": "resource/singer/singer_embedding_ace-2.npy",
+        "singer3 (male)": "resource/singer/singer_embedding_ace-3.npy",
+        "singer4 (female)": "resource/singer/singer_embedding_ace-8.npy",
+        "singer5 (male)": "resource/singer/singer_embedding_ace-7.npy",
+        "singer6 (female)": "resource/singer/singer_embedding_itako.npy",
+        "singer7 (male)": "resource/singer/singer_embedding_ofuton.npy",
+        "singer8 (female)": "resource/singer/singer_embedding_kising_orange.npy",
+        "singer9 (male)": "resource/singer/singer_embedding_m4singer_Tenor-1.npy",
+        "singer10 (female)": "resource/singer/singer_embedding_m4singer_Alto-4.npy",
+    },
+    "Model②(Multilingual)-jp": {
+        "singer1 (male)": "resource/singer/singer_embedding_ace-1.npy",
+        "singer2 (female)": "resource/singer/singer_embedding_ace-2.npy",
+        "singer3 (male)": "resource/singer/singer_embedding_ace-3.npy",
+        "singer4 (female)": "resource/singer/singer_embedding_ace-8.npy",
+        "singer5 (male)": "resource/singer/singer_embedding_ace-7.npy",
+        "singer6 (female)": "resource/singer/singer_embedding_itako.npy",
+        "singer7 (male)": "resource/singer/singer_embedding_ofuton.npy",
+        "singer8 (female)": "resource/singer/singer_embedding_kising_orange.npy",
+        "singer9 (male)": "resource/singer/singer_embedding_m4singer_Tenor-1.npy",
+        "singer10 (female)": "resource/singer/singer_embedding_m4singer_Alto-4.npy",
+    }
+}
+
+model_dict = {
+    "Model①(Chinese)-zh": "espnet/aceopencpop_svs_visinger2_40singer_pretrain",
+    "Model②(Multilingual)-zh": "espnet/mixdata_svs_visinger2_spkembed_lang_pretrained",
+    "Model②(Multilingual)-jp": "espnet/mixdata_svs_visinger2_spkembed_lang_pretrained",
+}
+
+total_singers = list(singer_embeddings["Model②(Multilingual)-zh"].keys())
+
+langs = {
+    "zh": 2,
+    "jp": 1,
+}
+
+def gen_song(model_name, spk, texts, durs, pitchs):
+    fs = 44100
+    tempo = 120
+    lang = model_name.split("-")[-1]
+    PRETRAIN_MODEL = model_dict[model_name]
+    if texts is None:
+        return (fs, np.array([0.0])), "Error: No Text provided!"
+    if durs is None:
+        return (fs, np.array([0.0])), "Error: No Dur provided!"
+    if pitchs is None:
+        return (fs, np.array([0.0])), "Error: No Pitch provided!"
+
+    # preprocess
+    if lang == "zh":
+        texts = preprocess_input(texts, "")
+        text_list = get_pinyin(texts)
+    elif lang == "jp":
+        texts = preprocess_input(texts, " ")
+        text_list = texts.strip().split()
+    durs = preprocess_input(durs, " ")
+    dur_list = durs.strip().split()
+    pitchs = preprocess_input(pitchs, " ")
+    pitch_list = pitchs.strip().split()
+
+    if len(text_list) != len(dur_list):
+        return (fs, np.array([0.0])), f"Error: len in text({len(text_list)}) mismatch with duration({len(dur_list)})!"
+    if len(text_list) != len(pitch_list):
+        return (fs, np.array([0.0])), f"Error: len in text({len(text_list)}) mismatch with pitch({len(pitch_list)})!"
+
+    ## text to phoneme
+    tokenizer = get_tokenizer(model_name, lang)
+    sybs = []
+    for text in text_list:
+        if text == "AP" or text == "SP":
+            rev = [text]
+        elif text == "-" or text == "——":
+            rev = [text]
+        else:
+            rev = tokenizer(text)
+        if rev == False:
+            return (fs, np.array([0.0])), f"Error: text `{text}` is invalid!"
+        rev = postprocess_phn(rev, model_name, lang)
+        phns = "_".join(rev)
+        sybs.append(phns)
+
+    pitch_dict = load_pitch_dict()
+
+    labels = []
+    notes = []
+    st = 0
+    pre_phn = ""
+    for phns, dur, pitch in zip(sybs, dur_list, pitch_list):
+        if phns == "-" or phns == "——":
+            phns = pre_phn
+        if pitch not in pitch_dict:
+            return (fs, np.array([0.0])), f"Error: pitch `{pitch}` is invalid!"
+        pitch = pitch_dict[pitch]
+        phn_list = phns.split("_")
+        lyric = "".join(phn_list)
+        dur = float(dur)
+        note = [st, st + dur, lyric, pitch, phns]
+        st += dur
+        notes.append(note)
+        for phn in phn_list:
+            labels.append(phn)
+        pre_phn = labels[-1]
+
+    phns_str = " ".join(labels)
+    batch = {
+        "score": (
+            int(tempo),
+            notes,
+        ),
+        "text": phns_str,
+    }
+    print(batch)
+    # return (fs, np.array([0.0])), "success!"
+
+    # Infer
+    device = "cpu"
+    # device = "cuda" if torch.cuda.is_available() else "cpu"
+    d = ModelDownloader()
+    pretrain_downloaded = d.download_and_unpack(PRETRAIN_MODEL)
+    svs = SingingGenerate(
+        train_config = pretrain_downloaded["train_config"],
+        model_file = pretrain_downloaded["model_file"],
+        device = device
+    )
+    if model_name == "Model①(Chinese)-zh":
+        sid = np.array([singer_embeddings[model_name][spk]])
+        output_dict = svs(batch, sids=sid)
+    else:
+        lid = np.array([langs[lang]])
+        spk_embed = np.load(singer_embeddings[model_name][spk])
+        output_dict = svs(batch, lids=lid, spembs=spk_embed)
+    wav_info = output_dict["wav"].cpu().numpy()
+
+    # mos prediction with sr=16k
+    predictor = torch.hub.load("South-Twilight/SingMOS:v0.2.0", "singing_ssl_mos", trust_repo=True)
+    wav_mos = librosa.resample(wav_info, orig_sr=fs, target_sr=16000)
+    wav_mos = torch.from_numpy(wav_mos).unsqueeze(0)
+    len_mos = torch.tensor([wav_mos.shape[1]])
+    score = predictor(wav_mos, len_mos)
+    return (fs, wav_info), "success!", round(score.item(), 2)
+
+
+# SP: silence, AP: aspirate.
+examples = [
+    ["Model①(Chinese)-zh", "singer1 (male)", "雨 淋 湿 了 SP 天 空 AP\n毁 的 SP 很 讲 究 AP", "0.23 0.16 0.36 0.16 0.07 0.28 0.5 0.21\n0.3 0.12 0.12 0.25 0.5 0.48 0.34", "60 62 62 62 0 62 58 0\n58 58 0 58 58 63 0"],
+    ["Model①(Chinese)-zh", "singer3 (male)", "雨 淋 湿 了 SP 天 空 AP\n毁 的 SP 很 讲 究 AP", "0.23 0.16 0.36 0.16 0.07 0.28 0.5 0.21\n0.3 0.12 0.12 0.25 0.5 0.48 0.34", "C4 D4 D4 D4 rest D4 A#3 rest\nA#3 A#3 rest A#3 A#3 D#4 rest"], # midi note
+    ["Model①(Chinese)-zh", "singer3 (male)", "雨 淋 湿 了 SP 天 空 AP\n毁 的 SP 很 讲 究 AP", "0.23 0.16 0.36 0.16 0.07 0.28 0.5 0.21\n0.3 0.12 0.12 0.25 0.5 0.48 0.34", "C#4 D#4 D#4 D#4 rest D#4 B3 rest\nB3 B3 rest B3 B3 E4 rest"], # up 1 key
+    ["Model①(Chinese)-zh", "singer3 (male)", "雨 淋 湿 了 SP 大 地 AP\n毁 的 SP 很 讲 究 AP", "0.23 0.16 0.36 0.16 0.07 0.28 0.5 0.21\n0.3 0.12 0.12 0.25 0.5 0.48 0.34", "C4 D4 D4 D4 rest D4 A#3 rest\nA#3 A#3 rest A#3 A#3 D#4 rest"], # lyrics
+    ["Model②(Multilingual)-zh", "singer3 (male)", "你 说 你 不 SP 懂\n 为 何 在 这 时 牵 手 AP", "0.11 0.33 0.29 0.13 0.15 0.48\n0.24 0.18 0.34 0.15 0.27 0.28 0.63 0.44", "63 63 63 63 0 63\n62 62 62 63 65 63 62 0"],
+    ["Model②(Multilingual)-zh", "singer3 (male)", "你 说 你 不 SP 懂\n 为 何 在 这 时 牵 手 AP", "0.23 0.66 0.58 0.27 0.3 0.97\n0.48 0.36 0.69 0.3 0.53 0.56 1.27 0.89", "63 63 63 63 0 63\n62 62 62 63 65 63 62 0"], # double duration
+    ["Model①(Chinese)-zh", "singer3 (male)", "雨 淋 湿 了 SP 天 空 AP\n毁 的 SP 很 讲 究 AP\n你 说 你 不 SP 懂\n 为 何 在 这 时 牵 手 AP", "0.23 0.16 0.36 0.16 0.07 0.28 0.5 0.21\n0.3 0.12 0.12 0.25 0.5 0.48 0.34\n0.11 0.33 0.29 0.13 0.15 0.48\n0.24 0.18 0.34 0.15 0.27 0.28 0.63 0.44", "60 62 62 62 0 62 58 0\n58 58 0 58 58 63 0\n63 63 63 63 0 63\n62 62 62 63 65 63 62 0"], # long
+    ["Model①(Chinese)-zh", "singer3 (male)", "修 炼 爱 情 的 心 酸 SP AP", "0.42 0.21 0.19 0.28 0.22 0.33 1.53 0.1 0.29", "68 70 68 66 63 68 68 0 0"],
+    ["Model①(Chinese)-zh", "singer3 (male)", "学 会 放 好 以 前 的 渴 望 SP AP", "0.3 0.22 0.29 0.27 0.25 0.44 0.54 0.29 1.03 0.08 0.39", "68 70 68 66 61 68 68 65 66 0 0"],
+    ["Model①(Chinese)-zh", "singer3 (male)", "SP 我 不 - 是 一 定 要 你 回 - 来 SP", "0.37 0.45 0.47 0.17 0.52 0.28 0.46 0.31 0.44 0.45 0.2 2.54 0.19", "0 51 60 61 59 59 57 57 59 60 61 59 0"], # slur
+    ["Model①(Chinese)-zh", "singer4 (female)", "AP 我 多 想 再 见 你\n哪 怕 匆 - 匆 一 AP 眼 就 别 离 AP", "0.13 0.24 0.68 0.78 0.86 0.4 0.94 0.54 0.3 0.56 0.16 0.86 0.26 0.22 0.28 0.78 0.68 1.5 0.32", "0 57 66 63 63 63 63 60 61 61 63 66 66 0 61 61 59 58 0"],
+    ["Model②(Multilingual)-jp", "singer8 (female)", "い じ ん さ ん に つ れ ら れ て", "0.6 0.3 0.3 0.3 0.3 0.6 0.6 0.3 0.3 0.6 0.23", "60 60 60 56 56 56 55 55 55 53 56"],
+    ["Model②(Multilingual)-jp", "singer8 (female)", "い じ ん さ ん に つ れ ら れ て", "0.6 0.3 0.3 0.3 0.3 0.6 0.6 0.3 0.3 0.6 0.23", "62 62 62 58 58 58 57 57 57 55 58"], # pitch
+    ["Model②(Multilingual)-jp", "singer8 (female)", "い じ ん さ ん に つ れ ら れ て", "1.2 0.6 0.6 0.6 0.6 1.2 1.2 0.6 0.6 1.2 0.45", "60 60 60 56 56 56 55 55 55 53 56"], # double dur
+    ["Model②(Multilingual)-jp", "singer8 (female)", "い じ ん さ ん に つ れ ら れ て", "0.3 0.15 0.15 0.15 0.15 0.3 0.3 0.15 0.15 0.3 0.11", "60 60 60 56 56 56 55 55 55 53 56"], # half dur
+    ["Model②(Multilingual)-jp", "singer8 (female)", "きっ と と べ ば そ ら ま で と ど く AP", "0.39 2.76 0.2 0.2 0.39 0.39 0.2 0.2 0.39 0.2 0.2 0.59 1.08", "64 71 68 69 71 71 69 68 66 68 69 68 0"],
+    ["Model②(Multilingual)-jp", "singer8 (female)", "じゃ の め で お む か え う れ し い な", "0.43 0.14 0.43 0.14 0.43 0.14 0.43 0.14 0.43 0.14 0.43 0.14 0.65", "60 60 60 62 64 67 69 69 64 64 64 62 60"],
+    ["Model②(Multilingual)-jp", "singer10 (female)", "お と め わ ら い か ふぁ い や ら い か ん な い す ぶ ろ うぃ ん ぶ ろ うぃ ん い ん ざ うぃ ん", "0.15 0.15 0.15 0.15 0.3 0.15 0.3 0.15 0.15 0.3 0.07 0.07 0.15 0.15 0.15 0.15 0.15 0.15 0.45 0.07 0.07 0.07 0.38 0.07 0.07 0.15 0.15 0.3 0.15 0.15", "67 67 67 67 67 67 69 67 67 69 67 67 64 64 64 64 64 64 62 64 64 62 62 64 64 62 62 59 59 59"],
+]
+
+with gr.Blocks() as demo:
+    gr.Markdown(
+        """
+<h1 align="center"> Demo of Singing Voice Synthesis in Muskits-ESPnet </h1>
+
+<div style="font-size: 20px;">
+This is the demo page of our toolkit <a href="https://arxiv.org/abs/2409.07226"><b>Muskits-ESPnet: A Comprehensive Toolkit for Singing Voice Synthesis in New Paradigm</b></a>.
+
+Singing Voice Synthesis (SVS) takes a music score as input and generates singing vocal with the voice of a specific singer.
+
+Music score usually includes lyrics, as well as duration and pitch of each word in lyrics,
+
+<h2>How to use:</h2>
+    <ol>
+        <li><b>Choose Model-Language</b>:
+            <ul>
+                <li>"zh" indicates lyrics input in Chinese, and "jp" indicates lyrics input in Japanese.</li>
+                <li>For example, "Model②(Mulitlingual)-zh" means model "Model②(Multilingual)" with lyrics input in Chinese.</li>
+            </ul>
+        </li>
+        <li><b>[Optional] Choose Singer</b>: Choose one singer you like from the drop-down list.</li>
+        <li><b>Input lyrics</b>:
+            <ul>
+                <li>Lyrics use Chinese characters when the language is 'zh' and hiragana when the language is 'jp'.</li>
+                <li>Special characters such as 'AP' (breath), 'SP' (silence), and '-' (slur, only for Chinese lyrics) can also be used.</li>
+                <li>Lyrics sequence should be separated by either a space (' ') or a newline ('\\n'), without the quotation marks.</li>
+            </ul>
+        </li>
+        <li><b>Input durations</b>:
+            <ul>
+                <li>Durations use float number as input.</li>
+                <li>Length of duration sequence should <b>be same as lyric sequence</b>, with each duration corresponding to the respective lyric.</li>
+                <li>Durations sequence should be separated by either a space (' ') or a newline ('\\n'), without the quotation marks.</li>
+            </ul>
+        </li>
+        <li><b>Input pitches</b>:
+            <ul>
+                <li>Pitches use MIDI note or MIDI note number as input. Specially, "69" in MIDI note number represents "A4" in MIDI note.</li>
+                <li>Length of pitch sequence should <b>be same as lyric sequence</b>, with each pitch corresponding to the respective lyric.</li>
+                <li>Pitches sequence should be separated by either a space (' ') or a newline ('\\n'), without the quotation marks.</li>
+            </ul>
+        </li>
+        <li><b>Hit "Generate" and listen to the result!</b></li>
+    </ol>
+</div>
+
+<h2>Notice:</h2>
+    <ul>
+        <li> Plenty of exmpales are provided. </li>
+        <li> Extreme values may result in suboptimal generation quality! </li>
+    </ul>
+"""       
+    )
+    # Row-1
+    with gr.Row():
+        with gr.Column(variant="panel"):
+            model_name = gr.Radio(
+                label="Model-Language",
+                choices=[
+                    "Model①(Chinese)-zh",
+                    "Model②(Multilingual)-zh",
+                    "Model②(Multilingual)-jp",
+                ],
+            )
+
+        with gr.Column(variant="panel"):
+            singer = gr.Dropdown(
+                label="Singer",
+                choices=total_singers,
+            )
+        
+        # def set_model(model_name_str: str):
+        #     """
+        #     gets value from `model_name`. either
+        #     uses cached list of speakers for the given model name
+        #     or loads the addon and checks what are the speakers.
+        #     """
+        #     speakers = list(singer_embeddings[model_name_str].keys())
+        #     value = speakers[0]
+        #     return gr.update(
+        #         choices=speakers, value=value, visible=True, interactive=True
+        #     )
+
+        # model_name.change(set_model, inputs=model_name, outputs=singer)
+
+    # Row-2
+    with gr.Row():
+        with gr.Column(variant="panel"):
+            lyrics = gr.Textbox(label="Lyrics")
+            duration = gr.Textbox(label="Duration")
+            pitch = gr.Textbox(label="Pitch")
+            generate = gr.Button("Generate")
+        with gr.Column(variant="panel"):
+            gened_song = gr.Audio(label="Generated Song", type="numpy")
+            run_status = gr.Textbox(label="Running Status")
+            pred_mos = gr.Textbox(label=" Pseudo MOS")
+
+    gr.Examples(
+        examples=examples,
+        inputs=[model_name, singer, lyrics, duration, pitch],
+        outputs=[singer],
+        label="Examples",
+        examples_per_page=20,
+    )
+    
+    gr.Markdown("""
+<div style='margin:20px auto;'>
+
+<p>References: <a href="https://arxiv.org/abs/2409.07226">Muskits-ESPnet paper</a> |
+<a href="https://github.com/espnet/espnet">espnet</a> |
+<a href="https://huggingface.co/espnet/aceopencpop_svs_visinger2_40singer_pretrain">Model①(Chinese)</a> |
+<a href="https://huggingface.co/espnet/mixdata_svs_visinger2_spkembed_lang_pretrained">Model②(Multilingual)</a></p>
+
+</div>
+"""
+    )
+
+    generate.click(
+        fn=gen_song,
+        inputs=[model_name, singer, lyrics, duration, pitch],
+        outputs=[gened_song, run_status, pred_mos],
+    )
+    
+demo.launch()

requirements.txt

@@ -0,0 +1,10 @@
+git+https://github.com/South-Twilight/espnet
+torch
+numpy
+librosa
+espnet_model_zoo
+importlib
+pathlib
+pypinyin
+torchaudio
+pyopenjtalk

resource/midi-note.scp

@@ -0,0 +1,152 @@
+G9 127
+F#9 126
+Gb9 126
+F9 125
+E9 124
+D#9 123
+Eb9 123
+D9 122
+C#9 121
+Db9 121
+C9 120
+B8 119
+A#8 118
+Bb8 118
+A8 117
+G#8 116
+Ab8 116
+G8 115
+F#8 114
+Gb8 114
+F8 113
+E8 112
+D#8 111
+Eb8 111
+D8 110
+C#8 109
+Db8 109
+C8 108
+B7 107
+A#7 106
+Bb7 106
+A7 105
+G#7 104
+Ab7 104
+G7 103
+F#7 102
+Gb7 102
+F7 101
+E7 100
+D#7 99
+Eb7 99
+D7 98
+C#7 97
+Db7 97
+C7 96
+B6 95
+A#6 94
+Bb6 94
+A6 93
+G#6 92
+Ab6 92
+G6 91
+F#6 90
+Gb6 90
+F6 89
+E6 88
+D#6 87
+Eb6 87
+D6 86
+C#6 85
+Db6 85
+C6 84
+B5 83
+A#5 82
+Bb5 82
+A5 81
+G#5 80
+Ab5 80
+G5 79
+F#5 78
+Gb5 78
+F5 77
+E5 76
+D#5 75
+Eb5 75
+D5 74
+C#5 73
+Db5 73
+C5 72
+B4 71
+A#4 70
+Bb4 70
+A4 69
+G#4 68
+Ab4 68
+G4 67
+F#4 66
+Gb4 66
+F4 65
+E4 64
+D#4 63
+Eb4 63
+D4 62
+C#4 61
+Db4 61
+C4 60
+B3 59
+A#3 58
+Bb3 58
+A3 57
+G#3 56
+Ab3 56
+G3 55
+F#3 54
+Gb3 54
+F3 53
+E3 52
+D#3 51
+Eb3 51
+D3 50
+C#3 49
+Db3 49
+C3 48
+B2 47
+A#2 46
+Bb2 46
+A2 45
+G#2 44
+Ab2 44
+G2 43
+F#2 42
+Gb2 42
+F2 41
+E2 40
+D#2 39
+Eb2 39
+D2 38
+C#2 37
+Db2 37
+C2 36
+B1 35
+A#1 34
+Bb1 34
+A1 33
+G#1 32
+Ab1 32
+G1 31
+F#1 30
+Gb1 30
+F1 29
+E1 28
+D#1 27
+Eb1 27
+D1 26
+C#1 25
+Db1 25
+C1 24
+B0 23
+A#0 22
+Bb0 22
+A0 21
+rest 0

resource/pinyin_dict.py

@@ -0,0 +1,423 @@
+# Adapted from Opencpop's pinyin to phoneme mapping table:
+# https://wenet.org.cn/opencpop/resources/annotationformat/
+PINYIN_DICT = {
+    "a": ("a",),
+    "ai": ("ai",),
+    "an": ("an",),
+    "ang": ("ang",),
+    "ao": ("ao",),
+    "ba": ("b", "a"),
+    "bai": ("b", "ai"),
+    "ban": ("b", "an"),
+    "bang": ("b", "ang"),
+    "bao": ("b", "ao"),
+    "bei": ("b", "ei"),
+    "ben": ("b", "en"),
+    "beng": ("b", "eng"),
+    "bi": ("b", "i"),
+    "bian": ("b", "ian"),
+    "biao": ("b", "iao"),
+    "bie": ("b", "ie"),
+    "bin": ("b", "in"),
+    "bing": ("b", "ing"),
+    "bo": ("b", "o"),
+    "bu": ("b", "u"),
+    "ca": ("c", "a"),
+    "cai": ("c", "ai"),
+    "can": ("c", "an"),
+    "cang": ("c", "ang"),
+    "cao": ("c", "ao"),
+    "ce": ("c", "e"),
+    "cei": ("c", "ei"),
+    "cen": ("c", "en"),
+    "ceng": ("c", "eng"),
+    "cha": ("ch", "a"),
+    "chai": ("ch", "ai"),
+    "chan": ("ch", "an"),
+    "chang": ("ch", "ang"),
+    "chao": ("ch", "ao"),
+    "che": ("ch", "e"),
+    "chen": ("ch", "en"),
+    "cheng": ("ch", "eng"),
+    "chi": ("ch", "i"),
+    "chong": ("ch", "ong"),
+    "chou": ("ch", "ou"),
+    "chu": ("ch", "u"),
+    "chua": ("ch", "ua"),
+    "chuai": ("ch", "uai"),
+    "chuan": ("ch", "uan"),
+    "chuang": ("ch", "uang"),
+    "chui": ("ch", "ui"),
+    "chun": ("ch", "un"),
+    "chuo": ("ch", "uo"),
+    "ci": ("c", "i"),
+    "cong": ("c", "ong"),
+    "cou": ("c", "ou"),
+    "cu": ("c", "u"),
+    "cuan": ("c", "uan"),
+    "cui": ("c", "ui"),
+    "cun": ("c", "un"),
+    "cuo": ("c", "uo"),
+    "da": ("d", "a"),
+    "dai": ("d", "ai"),
+    "dan": ("d", "an"),
+    "dang": ("d", "ang"),
+    "dao": ("d", "ao"),
+    "de": ("d", "e"),
+    "dei": ("d", "ei"),
+    "den": ("d", "en"),
+    "deng": ("d", "eng"),
+    "di": ("d", "i"),
+    "dia": ("d", "ia"),
+    "dian": ("d", "ian"),
+    "diao": ("d", "iao"),
+    "die": ("d", "ie"),
+    "ding": ("d", "ing"),
+    "diu": ("d", "iu"),
+    "dong": ("d", "ong"),
+    "dou": ("d", "ou"),
+    "du": ("d", "u"),
+    "duan": ("d", "uan"),
+    "dui": ("d", "ui"),
+    "dun": ("d", "un"),
+    "duo": ("d", "uo"),
+    "e": ("e",),
+    "ei": ("ei",),
+    "en": ("en",),
+    "eng": ("eng",),
+    "er": ("er",),
+    "fa": ("f", "a"),
+    "fan": ("f", "an"),
+    "fang": ("f", "ang"),
+    "fei": ("f", "ei"),
+    "fen": ("f", "en"),
+    "feng": ("f", "eng"),
+    "fo": ("f", "o"),
+    "fou": ("f", "ou"),
+    "fu": ("f", "u"),
+    "ga": ("g", "a"),
+    "gai": ("g", "ai"),
+    "gan": ("g", "an"),
+    "gang": ("g", "ang"),
+    "gao": ("g", "ao"),
+    "ge": ("g", "e"),
+    "gei": ("g", "ei"),
+    "gen": ("g", "en"),
+    "geng": ("g", "eng"),
+    "gong": ("g", "ong"),
+    "gou": ("g", "ou"),
+    "gu": ("g", "u"),
+    "gua": ("g", "ua"),
+    "guai": ("g", "uai"),
+    "guan": ("g", "uan"),
+    "guang": ("g", "uang"),
+    "gui": ("g", "ui"),
+    "gun": ("g", "un"),
+    "guo": ("g", "uo"),
+    "ha": ("h", "a"),
+    "hai": ("h", "ai"),
+    "han": ("h", "an"),
+    "hang": ("h", "ang"),
+    "hao": ("h", "ao"),
+    "he": ("h", "e"),
+    "hei": ("h", "ei"),
+    "hen": ("h", "en"),
+    "heng": ("h", "eng"),
+    "hm": ("h", "m"),
+    "hng": ("h", "ng"),
+    "hong": ("h", "ong"),
+    "hou": ("h", "ou"),
+    "hu": ("h", "u"),
+    "hua": ("h", "ua"),
+    "huai": ("h", "uai"),
+    "huan": ("h", "uan"),
+    "huang": ("h", "uang"),
+    "hui": ("h", "ui"),
+    "hun": ("h", "un"),
+    "huo": ("h", "uo"),
+    "ji": ("j", "i"),
+    "jia": ("j", "ia"),
+    "jian": ("j", "ian"),
+    "jiang": ("j", "iang"),
+    "jiao": ("j", "iao"),
+    "jie": ("j", "ie"),
+    "jin": ("j", "in"),
+    "jing": ("j", "ing"),
+    "jiong": ("j", "iong"),
+    "jiu": ("j", "iu"),
+    "ju": ("j", "v"),
+    "juan": ("j", "van"),
+    "jue": ("j", "ve"),
+    "jun": ("j", "vn"),
+    "ka": ("k", "a"),
+    "kai": ("k", "ai"),
+    "kan": ("k", "an"),
+    "kang": ("k", "ang"),
+    "kao": ("k", "ao"),
+    "ke": ("k", "e"),
+    "kei": ("k", "ei"),
+    "ken": ("k", "en"),
+    "keng": ("k", "eng"),
+    "kong": ("k", "ong"),
+    "kou": ("k", "ou"),
+    "ku": ("k", "u"),
+    "kua": ("k", "ua"),
+    "kuai": ("k", "uai"),
+    "kuan": ("k", "uan"),
+    "kuang": ("k", "uang"),
+    "kui": ("k", "ui"),
+    "kun": ("k", "un"),
+    "kuo": ("k", "uo"),
+    "la": ("l", "a"),
+    "lai": ("l", "ai"),
+    "lan": ("l", "an"),
+    "lang": ("l", "ang"),
+    "lao": ("l", "ao"),
+    "le": ("l", "e"),
+    "lei": ("l", "ei"),
+    "leng": ("l", "eng"),
+    "li": ("l", "i"),
+    "lia": ("l", "ia"),
+    "lian": ("l", "ian"),
+    "liang": ("l", "iang"),
+    "liao": ("l", "iao"),
+    "lie": ("l", "ie"),
+    "lin": ("l", "in"),
+    "ling": ("l", "ing"),
+    "liu": ("l", "iu"),
+    "lo": ("l", "o"),
+    "long": ("l", "ong"),
+    "lou": ("l", "ou"),
+    "lu": ("l", "u"),
+    "luan": ("l", "uan"),
+    "lun": ("l", "un"),
+    "luo": ("l", "uo"),
+    "lv": ("l", "v"),
+    "lve": ("l", "ve"),
+    "m": ("m",),
+    "ma": ("m", "a"),
+    "mai": ("m", "ai"),
+    "man": ("m", "an"),
+    "mang": ("m", "ang"),
+    "mao": ("m", "ao"),
+    "me": ("m", "e"),
+    "mei": ("m", "ei"),
+    "men": ("m", "en"),
+    "meng": ("m", "eng"),
+    "mi": ("m", "i"),
+    "mian": ("m", "ian"),
+    "miao": ("m", "iao"),
+    "mie": ("m", "ie"),
+    "min": ("m", "in"),
+    "ming": ("m", "ing"),
+    "miu": ("m", "iu"),
+    "mo": ("m", "o"),
+    "mou": ("m", "ou"),
+    "mu": ("m", "u"),
+    "n": ("n",),
+    "na": ("n", "a"),
+    "nai": ("n", "ai"),
+    "nan": ("n", "an"),
+    "nang": ("n", "ang"),
+    "nao": ("n", "ao"),
+    "ne": ("n", "e"),
+    "nei": ("n", "ei"),
+    "nen": ("n", "en"),
+    "neng": ("n", "eng"),
+    "ng": ("n", "g"),
+    "ni": ("n", "i"),
+    "nian": ("n", "ian"),
+    "niang": ("n", "iang"),
+    "niao": ("n", "iao"),
+    "nie": ("n", "ie"),
+    "nin": ("n", "in"),
+    "ning": ("n", "ing"),
+    "niu": ("n", "iu"),
+    "nong": ("n", "ong"),
+    "nou": ("n", "ou"),
+    "nu": ("n", "u"),
+    "nuan": ("n", "uan"),
+    "nun": ("n", "un"),
+    "nuo": ("n", "uo"),
+    "nv": ("n", "v"),
+    "nve": ("n", "ve"),
+    "o": ("o",),
+    "ou": ("ou",),
+    "pa": ("p", "a"),
+    "pai": ("p", "ai"),
+    "pan": ("p", "an"),
+    "pang": ("p", "ang"),
+    "pao": ("p", "ao"),
+    "pei": ("p", "ei"),
+    "pen": ("p", "en"),
+    "peng": ("p", "eng"),
+    "pi": ("p", "i"),
+    "pian": ("p", "ian"),
+    "piao": ("p", "iao"),
+    "pie": ("p", "ie"),
+    "pin": ("p", "in"),
+    "ping": ("p", "ing"),
+    "po": ("p", "o"),
+    "pou": ("p", "ou"),
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+    "rang": ("r", "ang"),
+    "rao": ("r", "ao"),
+    "re": ("r", "e"),
+    "ren": ("r", "en"),
+    "reng": ("r", "eng"),
+    "ri": ("r", "i"),
+    "rong": ("r", "ong"),
+    "rou": ("r", "ou"),
+    "ru": ("r", "u"),
+    "rua": ("r", "ua"),
+    "ruan": ("r", "uan"),
+    "rui": ("r", "ui"),
+    "run": ("r", "un"),
+    "ruo": ("r", "uo"),
+    "sa": ("s", "a"),
+    "sai": ("s", "ai"),
+    "san": ("s", "an"),
+    "sang": ("s", "ang"),
+    "sao": ("s", "ao"),
+    "se": ("s", "e"),
+    "sen": ("s", "en"),
+    "seng": ("s", "eng"),
+    "sha": ("sh", "a"),
+    "shai": ("sh", "ai"),
+    "shan": ("sh", "an"),
+    "shang": ("sh", "ang"),
+    "shao": ("sh", "ao"),
+    "she": ("sh", "e"),
+    "shei": ("sh", "ei"),
+    "shen": ("sh", "en"),
+    "sheng": ("sh", "eng"),
+    "shi": ("sh", "i"),
+    "shou": ("sh", "ou"),
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+    "shua": ("sh", "ua"),
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+    "tai": ("t", "ai"),
+    "tan": ("t", "an"),
+    "tang": ("t", "ang"),
+    "tao": ("t", "ao"),
+    "te": ("t", "e"),
+    "tei": ("t", "ei"),
+    "teng": ("t", "eng"),
+    "ti": ("t", "i"),
+    "tian": ("t", "ian"),
+    "tiao": ("t", "iao"),
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+    "wan": ("w", "an"),
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+    "wei": ("w", "ei"),
+    "wen": ("w", "en"),
+    "weng": ("w", "eng"),
+    "wo": ("w", "o"),
+    "wu": ("w", "u"),
+    "xi": ("x", "i"),
+    "xia": ("x", "ia"),
+    "xian": ("x", "ian"),
+    "xiang": ("x", "iang"),
+    "xiao": ("x", "iao"),
+    "xie": ("x", "ie"),
+    "xin": ("x", "in"),
+    "xing": ("x", "ing"),
+    "xiong": ("x", "iong"),
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+    "xuan": ("x", "van"),
+    "xue": ("x", "ve"),
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+    "ya": ("y", "a"),
+    "yan": ("y", "an"),
+    "yang": ("y", "ang"),
+    "yao": ("y", "ao"),
+    "ye": ("y", "e"),
+    "yi": ("y", "i"),
+    "yin": ("y", "in"),
+    "ying": ("y", "ing"),
+    "yo": ("y", "o"),
+    "yong": ("y", "ong"),
+    "you": ("y", "ou"),
+    "yu": ("y", "v"),
+    "yuan": ("y", "van"),
+    "yue": ("y", "ve"),
+    "yun": ("y", "vn"),
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+    "zai": ("z", "ai"),
+    "zan": ("z", "an"),
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+    "zao": ("z", "ao"),
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+    "zen": ("z", "en"),
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+    "zhao": ("zh", "ao"),
+    "zhe": ("zh", "e"),
+    "zhei": ("zh", "ei"),
+    "zhen": ("zh", "en"),
+    "zheng": ("zh", "eng"),
+    "zhi": ("zh", "i"),
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+    "zui": ("z", "ui"),
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