diff --git a/app.py b/app.py index 520ee2b16c9f096ab902586156fd149832ce78b0..fdbf0e026c48a475a0361a01e5afef71228d3f63 100644 --- a/app.py +++ b/app.py @@ -1,34 +1,31 @@ +import os import numpy as np import gradio as gr +import pyopenjtalk from pypinyin import lazy_pinyin - -from pinyin_dict import PINYIN_DICT +from util import preprocess_input, get_tokenizer, load_pitch_dict from espnet_model_zoo.downloader import ModelDownloader from espnet2.fileio.read_text import read_label from espnet2.bin.svs_inference import SingingGenerate -spks = { - "singer1 (man)": 1, - "singer2 (man)": 2, - "singer3 (female)": 5, - "singer4 (female)": 9, - "singer5 (man)": 18, - "singer6 (female)": 15, - "singer7 (man)": 23, - "singer8 (man)": 25, - "singer9 (female)": 29, - "singer10 (man)": 27, +singer_embeddings = { + "singer1 (female)": "resource/singer/singer_embedding_opencpop.npy", } -def gen_song(lang, tempo, texts, durs, pitchs, spk): - if lang == "zh": - PRETRAIN_MODEL = "espnet/aceopencpop_svs_visinger2_40singer_pretrain" - fs = 44100 - text_list = lazy_pinyin(texts) +langs = { + "zh": 2, + "jp": 1, +} - # preprocess +def gen_song(lang, tempo, texts, durs, pitchs, spk): + fs = 44100 + # PRETRAIN_MODEL = "espnet/aceopencpop_svs_visinger2_40singer_pretrain" + # pretrain_downloaded = { + # "train_config": "/data7/tyx/espnet/egs2/mixed/svs1/exp/svs_train_visinger2_spk_embed_lang_raw_phn_None_mix_all/config.yaml", + # "model_file": "/data7/tyx/espnet/egs2/mixed/svs1/exp/svs_train_visinger2_spk_embed_lang_raw_phn_None_mix_all/500epoch.pth", + # } if texts is None: return (fs, np.array([0.0])), "Error: No Text provided!" if durs is None: @@ -36,7 +33,16 @@ def gen_song(lang, tempo, texts, durs, pitchs, spk): if pitchs is None: return (fs, np.array([0.0])), "Error: No Pitch provided!" + # preprocess + if lang == "zh": + texts = preprocess_input(texts, "") + text_list = lazy_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): @@ -45,23 +51,20 @@ def gen_song(lang, tempo, texts, durs, pitchs, spk): 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(lang) sybs = [] - if lang == "zh": - pinyin_dict = PINYIN_DICT - for text in text_list: - text = text.lower() - if text not in pinyin_dict: - return (fs, np.array([0.0])), f"Error: pinyin `{text}` is invalid!" - phns = "_".join(pinyin_dict[text]) - sybs.append(phns) - - ## pitch - pitch_dict = {} - with open("./midi-note.scp", "r", encoding="utf-8") as f: - for line in f: - items = line.strip().split() - pitch_dict[items[0]] = int(items[1]) - pitch_dict[items[1]] = int(items[1]) + for text in text_list: + if text == "AP" or text == "SP": + rev = [text] + else: + rev = tokenizer(text) + rev = [phn + f"@{lang}" for phn in rev] + if rev == False: + return (fs, np.array([0.0])), f"Error: text `{text}` is invalid!" + phns = "_".join(rev) + sybs.append(phns) + + pitch_dict = load_pitch_dict() labels = [] notes = [] @@ -87,19 +90,24 @@ def gen_song(lang, tempo, texts, durs, pitchs, spk): ), "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) + # 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 ) - sid = spks[spk] - output_dict = svs(batch, sids=np.array([sid])) + # sid = spks[spk] + lid = langs[lang] + spk_embed = np.load(singer_embeddings[spk]) + # output_dict = svs(batch, sids=np.array([sid])) + output_dict = svs(batch, lids=np.array([lid]), spembs=spk_embed) wav_info = output_dict["wav"].cpu().numpy() return (fs, wav_info), "success!" @@ -107,19 +115,24 @@ def gen_song(lang, tempo, texts, durs, pitchs, spk): title = "Demo of Singing Voice Synthesis in Muskits-ESPnet" description = """ -This is the demo page of our toolkit Muskits-ESPnet: A Comprehensive Toolkit for Singing Voice Synthesis in New Paradigm. - - -

How to use:

-
    -
  1. Choose language ID. Language id
    2. -
  2. Input tempo in integer
    3. -
  3. Input text, duration, pitch of equal length
    4. -
  4. Choose ons singer
    5. -
  5. Click submit button
    6. -
- - +
+

This is the demo page of our toolkit Muskits-ESPnet: A Comprehensive Toolkit for Singing Voice Synthesis in New Paradigm.

+

Singing Voice Synthesis (SVS) takes a music score as input and generates singing vocal with the voice of a specific singer. + Music score contains information about tempo (singing speed), lyrics, as well as duration and pitch of each word in lyrics.

+ + Muskits-ESPnet logo + +

How to use:

+
    +
  1. Choose language ID: "zh" indicates lyrics input in Chinese, and "jp" indicates lyrics input in Japanese.
    2. +
  2. Input tempo: tempo is a positive integer, typically ranging between 60 and 180, representing the number of beats per minute.
    3. +
  3. Input lyrics, duration, pitch in equal length: lyrics should match the language setting. Each word of input should be split with " " (blankspace) or "\\n" (newline) without quotes. Examples are provided.
    4. +
  4. Choose one singer
    5. +
  5. Click submit button
    6. +
+ + Notice: Values outside this range may result in suboptimal generation quality! +
""" article = """ @@ -133,7 +146,7 @@ article = """ @inproceedings{wu2024muskits, title = {{Muskits-ESPnet}: A Comprehensive Toolkit for Singing Voice Synthesis in New Paradigm}, author = {Yuning Wu and Jiatong Shi and Yifeng Yu and Yuxun Tang and Tao Qian and Yueqian Lin and Jionghao Han and Xinyi Bai and Shinji Watanabe and Qin Jin}, - booktitle={Proc. ACM Multimedia}, + booktitle={Proceedings of the 32st ACM International Conference on Multimedia}, year={2024}, } @@ -144,15 +157,16 @@ article = """ # SP: silence, AP: aspirate. examples = [ - ["zh", 89, "雨淋湿了SP天空AP", "0.23 0.16 0.36 0.16 0.07 0.28 0.50 0.21", "60 62 62 62 0 62 58 0", "singer1 (man)"], - ["zh", 89, "雨淋湿了SP天空AP", "0.23 0.16 0.36 0.16 0.07 0.28 0.50 0.21", "C4 D4 D4 D4 rest D4 A#3 rest", "singer2 (man)"], - ["zh", 89, "雨淋湿了SP天空AP", "0.23 0.16 0.36 0.16 0.07 0.28 0.50 0.21", "C4 D4 D4 D4 rest D4 Bb3 rest", "singer3 (female)"], + ["zh", 89, "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 0.3 0.12 0.12 0.25 0.5 0.48 0.34", "60 62 62 62 0 62 58 0 58 58 0 58 58 63 0", "singer1 (female)"], + # ["zh", 89, "雨 淋 湿 了 SP 天 空 AP", "0.23 0.16 0.36 0.16 0.07 0.28 0.50 0.21", "C4 D4 D4 D4 rest D4 A#3 rest", "singer2 (male)"], + # ["zh", 89, "雨 淋 湿 了 SP 天 空 AP", "0.23 0.16 0.36 0.16 0.07 0.28 0.50 0.21", "C4 D4 D4 D4 rest D4 Bb3 rest", "singer3 (female)"], + ["jp", 152, "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", "singer1 (female)"], ] -gr.Interface( +app = gr.Interface( fn=gen_song, inputs=[ - gr.Radio(label="language", choices=["zh"], value="zh"), + gr.Radio(label="language", choices=["zh", "jp"], value="zh"), gr.Textbox(label="Tempo"), gr.Textbox(label="Text"), gr.Textbox(label="Duration"), @@ -160,18 +174,9 @@ gr.Interface( gr.Radio( label="Singer", choices=[ - "singer1 (man)", - "singer2 (man)", - "singer3 (female)", - "singer4 (female)", - "singer5 (man)", - "singer6 (female)", - "singer7 (man)", - "singer8 (man)", - "singer9 (female)", - "singer10 (man)", + "singer1 (female)", ], - value="singer1 (man)" + value="singer1 (female)" ), ], outputs=[ @@ -182,4 +187,6 @@ gr.Interface( description=description, article=article, examples=examples, -).launch() +) + +app.launch() diff --git a/resource/Muskits_ESPnet_logo.png b/resource/Muskits_ESPnet_logo.png new file mode 100644 index 0000000000000000000000000000000000000000..04cb70a4d348dbdce041c97cc68f09eb3e6a6ed2 Binary files /dev/null and b/resource/Muskits_ESPnet_logo.png differ diff --git a/resource/all_plans.json b/resource/all_plans.json new file mode 100644 index 0000000000000000000000000000000000000000..94af8af22ad17cadfaf4505caae44c71fff6561e --- /dev/null +++ b/resource/all_plans.json @@ -0,0 +1,7660 @@ +{ + "jp_word2romaji": + { + "うぁ": "wa", + "うぉ": "wo", + "ぁ": "a", + "ぃ": "i", + "ぅ": "u", + "ぇ": "e", + "ぉ": "o", + "ゃ": "ya", + "ゅ": "yu", + "ょ": "yo", + "ウァ": "wa", + "ウォ": "wo", + "ァ": "a", + "ィ": "i", + "ゥ": "u", + "ェ": "e", + "ォ": "o", + "ャ": "ya", + "ュ": "yu", + "ョ": "yo", + "ｳｧ": "wa", + "ｳｫ": "wo", + "ｧ": "a", + "ｨ": "i", + "ｩ": "u", + "ｪ": "e", + "ｫ": "o", + "ｬ": "ya", + "ｭ": "yu", + "ｮ": "yo", + "よ": "yo", + "びゅ": "byu", + "ら": "ra", + "ジャ": "ja", + "り": "ri", + "ｷｬ": "kya", + "ﾂｪ": "tse", + "る": "ru", + "キュ": "kyu", + "フェ": "fe", + "れ": "re", + "びょ": "byo", + "ジュ": "ju", + "ろ": "ro", + "ｷｭ": "kyu", + "ﾘｪ": "rye", + "ﾂｫ": "tso", + "ﾘｬ": "rya", + "キョ": "kyo", + "フォ": "fo", + "わ": "wa", + "ｺ゚": "ngo", + "ジョ": "jo", + "ﾘｭ": "ryu", + "ｷｮ": "kyo", + "ﾘｮ": "ryo", + "を": "wo", + "ク゚": "ngu", + "ん": "N", + "キ゚ャ": "ngya", + "ｷ゚ｪ": "ngye", + "ｶﾞ": "ga", + "ふぁ": "fa", + "クァ": "kwa", + "キ゚ュ": "ngyu", + "ﾌﾞ": "bu", + "ふぃ": "fi", + "ｷ゚ｬ": "ngya", + "ﾌﾟ": "pu", + "クィ": "kwi", + "ア": "a", + "ふぅ": "fu", + "ズィ": "zi", + "きゃ": "kya", + "じゃ": "ja", + "ｽﾞｨ": "zi", + "イ": "i", + "キ゚ョ": "ngyo", + "ｷ゚ｭ": "ngyu", + "ﾌﾞｭ": "vyu", + "ｽｨ": "si", + "ふぇ": "fe", + "ウ": "u", + "きゅ": "kyu", + "じゅ": "ju", + "イェ": "ye", + "ｲｪ": "ye", + "ｷ゚ｮ": "ngyo", + "エ": "e", + "きょ": "kyo", + "ふぉ": "fo", + "じょ": "jo", + "オ": "o", + "カ": "ka", + "ガ": "ga", + "キ": "ki", + "ピャ": "pya", + "ギ": "gi", + "ク": "ku", + "ミャ": "mya", + "グ": "gu", + "リャ": "rya", + "ケ": "ke", + "ピュ": "pyu", + "ゲ": "ge", + "ミュ": "myu", + "コ": "ko", + "リュ": "ryu", + "ゴ": "go", + "ピョ": "pyo", + "サ": "sa", + "ミョ": "myo", + "ザ": "za", + "ﾄﾞｩ": "du", + "リョ": "ryo", + "シ": "shi", + "くぁ": "kwa", + "ジ": "ji", + "ス": "su", + "ズ": "zu", + "セ": "se", + "くぃ": "kwi", + "ゼ": "ze", + "ずぃ": "zi", + "ソ": "so", + "ｼﾞ": "ji", + "ゾ": "zo", + "タ": "ta", + "ダ": "da", + "いぇ": "ye", + "チ": "chi", + "ｦ": "wo", + "くぇ": "kwe", + "ッ": "cl", + "ツ": "tsu", + "ｸｧ": "kwa", + "くぉ": "kwo", + "ｸｨ": "kwi", + "テ": "te", + "ﾃｨ": "ti", + "デ": "de", + "ぴゃ": "pya", + "ト": "to", + "き゚": "ngi", + "ド": "do", + "みゃ": "mya", + "ギャ": "gya", + "りゃ": "rya", + "ナ": "na", + "ぴゅ": "pyu", + "ニ": "ni", + "ﾃｪ": "tye", + "ヴぁ": "va", + "ｱ": "a", + "ヌ": "nu", + "ネ": "ne", + "ｲ": "i", + "りゅ": "ryu", + "ﾃｬ": "tya", + "ギュ": "gyu", + "ぴょ": "pyo", + "ノ": "no", + "ヴぃ": "vi", + "ハ": "ha", + "バ": "ba", + "みゅ": "myu", + "ギョ": "gyo", + "りょ": "ryo", + "ｶ": "ka", + "パ": "pa", + "ヒ": "hi", + "ｷ": "ki", + "みょ": "myo", + "ビ": "bi", + "ニェ": "nye", + "ﾋﾞｬ": "bya", + "ピ": "pi", + "ｳ": "u", + "ﾃｭ": "tyu", + "フ": "hu", + "ﾋﾞｭ": "byu", + "ｸ": "ku", + "ヴぇ": "ve", + "ｻ": "sa", + "ブ": "bu", + "プ": "pu", + "ｼ": "shi", + "ｴ": "e", + "ヘ": "he", + "ｽ": "su", + "ｹ": "ke", + "ベ": "be", + "ヴぉ": "vo", + "ｾ": "se", + "ペ": "pe", + "ｼﾞｪ": "je", + "ﾋﾞｪ": "bye", + "ホ": "ho", + "ﾀ": "ta", + "ｵ": "o", + "ボ": "bo", + "ﾁ": "chi", + "ｺ": "ko", + "ポ": "po", + "ﾂ": "tsu", + "ｷﾞ": "gi", + "マ": "ma", + "ﾃ": "te", + "ｿ": "so", + "ミ": "mi", + "ﾄ": "to", + "ｼﾞｬ": "ja", + "グァ": "gwa", + "ﾅ": "na", + "ム": "mu", + "メ": "me", + "ﾆ": "ni", + "ﾍﾞ": "be", + "モ": "mo", + "ﾇ": "nu", + "ｼﾞｭ": "ju", + "ﾍﾟ": "pe", + "グィ": "gwi", + "ﾈ": "ne", + "ヤ": "ya", + "ぎゃ": "gya", + "ﾃﾞｨ": "di", + "ﾉ": "no", + "ﾊ": "ha", + "ｼﾞｮ": "jo", + "ｳｨ": "wi", + "ﾋ": "hi", + "にぇ": "nye", + "ティ": "ti", + "ユ": "yu", + "ぎゅ": "gyu", + "ヨ": "yo", + "ﾌ": "hu", + "ﾍ": "he", + "ラ": "ra", + "ｳｪ": "we", + "ﾎ": "ho", + "こ゚": "ngo", + "ﾏ": "ma", + "リ": "ri", + "ル": "ru", + "ﾐ": "mi", + "ぎょ": "gyo", + "レ": "re", + "ﾑ": "mu", + "テェ": "tye", + "ロ": "ro", + "グォ": "gwo", + "ﾒ": "me", + "ﾃﾞｪ": "de", + "ｶ゚": "nga", + "ﾓ": "mo", + "ワ": "wa", + "ﾔ": "ya", + "フャ": "fya", + "ﾋﾞｮ": "byo", + "ﾕ": "yu", + "ﾃﾞｬ": "dya", + "ｯ": "cl", + "ﾖ": "yo", + "ヲ": "wo", + "ﾗ": "ra", + "フュ": "fyu", + "ﾘ": "ri", + "ン": "N", + "ヴ": "vu", + "ﾙ": "ru", + "カ゚": "nga", + "ﾃﾞｭ": "dyu", + "ﾚ": "re", + "フョ": "fyo", + "ﾛ": "ro", + "ﾃﾞｮ": "tyo", + "ﾜ": "wa", + "ﾝ": "N", + "ﾋﾟｪ": "pye", + "ぐぁ": "gwa", + "き゚ゃ": "ngya", + "ぐぃ": "gwi", + "ﾋﾟｬ": "pya", + "ｽﾞ": "zu", + "てぃ": "ti", + "ﾋﾟｭ": "pyu", + "き゚ゅ": "ngyu", + "ぐぇ": "gwe", + "ﾋﾟｮ": "pyo", + "てぇ": "tye", + "ぐぉ": "gwo", + "き゚ょ": "ngyo", + "ふゃ": "fya", + "ﾄｩ": "tu", + "ふゅ": "fyu", + "チェ": "che", + "ふょ": "fyo", + "ケ゚": "nge", + "ｸﾞ": "gu", + "ｳﾞｧ": "va", + "ﾎﾞ": "bo", + "ウィ": "wi", + "ﾎﾟ": "po", + "ｳﾞｨ": "vi", + "ちぇ": "che", + "ディ": "di", + "ウェ": "we", + "ｳﾞｪ": "ve", + "ｳﾞｫ": "vo", + "デェ": "dye", + "ヒェ": "hye", + "ｷ゚": "ngi", + "ニャ": "nya", + "ｳﾞｬ": "vya", + "ニュ": "nyu", + "ブュ": "vyu", + "ニョ": "nyo", + "ヴゃ": "vya", + "ヴゅ": "vyu", + "うぃ": "wi", + "ｳﾞ": "vu", + "ヴょ": "vyo", + 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-> tuple[str]: +import pyopenjtalk + + +def preprocess_input(src_str, seg_syb=" "): + src_str = src_str.replace("\n", seg_syb) + src_str = src_str.replace(" ", seg_syb) + return src_str + + +def pyopenjtalk_g2p(text) -> List[str]: + with warnings.catch_warnings(record=True) as w: + warnings.simplefilter("always") + # phones is a str object separated by space + phones = pyopenjtalk.g2p(text, kana=False) + if len(w) > 0: + for warning in w: + if "No phoneme" in str(warning.message): + return False + + phones = phones.split(" ") + return phones + + +def split_pinyin(pinyin: str, zh_plan: dict) -> tuple[str]: # load pinyin dict from local/pinyin.dict pinyin = pinyin.lower() - return pinyin_dict[pinyin] + if pinyin in zh_plan["dict"]: + return zh_plan["dict"][pinyin] + elif pinyin in zh_plan["syllable_alias"]: + return zh_plan["dict"][zh_plan["syllable_alias"][pinyin]] + else: + return False + + +def get_tokenizer(lang): + if lang == "zh": + with open(os.path.join("resource/all_plans.json"), "r") as f: + all_plan_dict = json.load(f) + for plan in all_plan_dict["plans"]: + if plan["language"] == "zh": + zh_plan = plan + return lambda text: split_pinyin(text, zh_plan) + elif lang == "jp": + return pyopenjtalk_g2p + +def load_pitch_dict(file_path = "resource/midi-note.scp"): + pitch_dict = {} + with open(file_path, "r", encoding="utf-8") as f: + for line in f: + items = line.strip().split() + pitch_dict[items[0]] = int(items[1]) + pitch_dict[items[1]] = int(items[1]) + return pitch_dict +