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import os |
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import numpy as np |
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import gradio as gr |
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import pyopenjtalk |
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from util import preprocess_input, get_tokenizer, load_pitch_dict, get_pinyin |
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from espnet_model_zoo.downloader import ModelDownloader |
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from espnet2.fileio.read_text import read_label |
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from espnet2.bin.svs_inference import SingingGenerate |
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singer_embeddings = { |
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"singer1 (male)": "resource/singer/singer_embedding_ace-1.npy", |
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"singer2 (female)": "resource/singer/singer_embedding_ace-2.npy", |
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"singer3 (male)": "resource/singer/singer_embedding_ace-3.npy", |
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"singer4 (female)": "resource/singer/singer_embedding_ace-8.npy", |
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"singer4 (male)": "resource/singer/singer_embedding_ace-7.npy", |
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"singer6 (female)": "resource/singer/singer_embedding_itako.npy", |
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"singer7 (male)": "resource/singer/singer_embedding_ofuton.npy", |
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"singer8 (female)": "resource/singer/singer_embedding_kising_orange.npy", |
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"singer9 (male)": "resource/singer/singer_embedding_m4singer_Tenor-1.npy", |
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"singer10 (female)": "resource/singer/singer_embedding_m4singer_Alto-4.npy", |
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} |
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langs = { |
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"zh": 2, |
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"jp": 1, |
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} |
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def gen_song(lang, texts, durs, pitchs, spk): |
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fs = 44100 |
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tempo = 120 |
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PRETRAIN_MODEL = "TangRain/mixdata_svs_visinger2_spkembed_lang_pretrained" |
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if texts is None: |
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return (fs, np.array([0.0])), "Error: No Text provided!" |
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if durs is None: |
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return (fs, np.array([0.0])), "Error: No Dur provided!" |
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if pitchs is None: |
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return (fs, np.array([0.0])), "Error: No Pitch provided!" |
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if lang == "zh": |
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texts = preprocess_input(texts, "") |
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text_list = get_pinyin(texts) |
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elif lang == "jp": |
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texts = preprocess_input(texts, " ") |
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text_list = texts.strip().split() |
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durs = preprocess_input(durs, " ") |
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dur_list = durs.strip().split() |
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pitchs = preprocess_input(pitchs, " ") |
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pitch_list = pitchs.strip().split() |
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if len(text_list) != len(dur_list): |
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return (fs, np.array([0.0])), f"Error: len in text({len(text_list)}) mismatch with duration({len(dur_list)})!" |
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if len(text_list) != len(pitch_list): |
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return (fs, np.array([0.0])), f"Error: len in text({len(text_list)}) mismatch with pitch({len(pitch_list)})!" |
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tokenizer = get_tokenizer(lang) |
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sybs = [] |
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for text in text_list: |
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if text == "AP" or text == "SP": |
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rev = [text] |
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elif text == "-" or text == "——": |
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rev = [text] |
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else: |
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rev = tokenizer(text) |
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rev = [phn + f"@{lang}" for phn in rev] |
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if rev == False: |
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return (fs, np.array([0.0])), f"Error: text `{text}` is invalid!" |
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phns = "_".join(rev) |
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sybs.append(phns) |
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pitch_dict = load_pitch_dict() |
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labels = [] |
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notes = [] |
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st = 0 |
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pre_phn = "" |
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for phns, dur, pitch in zip(sybs, dur_list, pitch_list): |
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if phns == "-" or phns == "——": |
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phns = pre_phn |
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if pitch not in pitch_dict: |
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return (fs, np.array([0.0])), f"Error: pitch `{pitch}` is invalid!" |
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pitch = pitch_dict[pitch] |
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phn_list = phns.split("_") |
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lyric = "".join(phn_list) |
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dur = float(dur) |
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note = [st, st + dur, lyric, pitch, phns] |
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st += dur |
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notes.append(note) |
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for phn in phn_list: |
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labels.append(phn) |
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pre_phn = labels[-1] |
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phns_str = " ".join(labels) |
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batch = { |
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"score": ( |
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int(tempo), |
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notes, |
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), |
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"text": phns_str, |
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} |
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device = "cpu" |
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d = ModelDownloader() |
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pretrain_downloaded = d.download_and_unpack(PRETRAIN_MODEL) |
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svs = SingingGenerate( |
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train_config = pretrain_downloaded["train_config"], |
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model_file = pretrain_downloaded["model_file"], |
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device = device |
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) |
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lid = langs[lang] |
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spk_embed = np.load(singer_embeddings[spk]) |
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output_dict = svs(batch, lids=np.array([lid]), spembs=spk_embed) |
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wav_info = output_dict["wav"].cpu().numpy() |
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return (fs, wav_info), "success!" |
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title = "Demo of Singing Voice Synthesis in Muskits-ESPnet" |
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description = """ |
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<div style="font-size: 20px; "> |
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<p>This is the demo page of our toolkit <b>Muskits-ESPnet: A Comprehensive Toolkit for Singing Voice Synthesis in New Paradigm</b>.</p> |
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<p>Singing Voice Synthesis (SVS) takes a music score as input and generates singing vocal with the voice of a specific singer.\n |
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Music score contains information about lyrics, as well as duration and pitch of each word in lyrics.</p> |
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<h1>How to use:</h1> |
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<ol> |
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<li> <b>Choose language ID</b>: "zh" indicates lyrics input in Chinese, and "jp" indicates lyrics input in Japanese. </li> |
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<li> <b>Input lyrics</b>: |
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<ul> |
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<li> Lyrics use Chinese characters when the language is 'zh' and hiragana when the language is 'jp'. </li> |
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<li> Special characters such as 'AP' (breath), 'SP' (silence), and '-' (slur, only for 'zh') can also be used. </li> |
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<li> Lyrics sequence should be separated by either a space (' ') or a newline ('\\n'), without the quotation marks. </li> |
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</ul> |
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</li> |
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<li> <b>Input durations</b>: |
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<ul> |
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<li> Length of duration sequence should <b>be same as lyric sequence</b>, with each duration corresponding to the respective lyric. </li> |
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<li> Durations sequence should be separated by either a space (' ') or a newline ('\\n'), without the quotation marks. </li> |
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</ul> |
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</li> |
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<li> <b>Input pitches</b>: |
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<ul> |
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<li> Length of pitch sequence should <b>be same as lyric sequence</b>, with each pitch corresponding to the respective lyric. </li> |
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<li> Pitches sequence should be separated by either a space (' ') or a newline ('\\n'), without the quotation marks. </li> |
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</ul> |
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</li> |
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<li> <b>Choose one singer</b> </li> |
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<li> <b>Click submit button</b> </li> |
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</ol> |
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<h1>Notice:</h1> |
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<ul> |
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<li> Values outside this range may result in suboptimal generation quality! </li> |
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</ul> |
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</div> |
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""" |
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article = """ |
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<div style='margin:20px auto;'> |
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<p>References: <a href="https://arxiv.org/abs/2409.07226">Muskits-ESPnet paper</a> | |
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<a href="https://github.com/espnet/espnet">espnet GitHub</a> | |
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<a href="https://huggingface.co/espnet/mixdata_svs_visinger2_spkembed_lang_pretrained">pretrained model</a></p> |
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<pre> |
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@inproceedings{wu2024muskits, |
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title = {{Muskits-ESPnet}: A Comprehensive Toolkit for Singing Voice Synthesis in New Paradigm}, |
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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}, |
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booktitle={Proceedings of the 32st ACM International Conference on Multimedia}, |
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year={2024}, |
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} |
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</pre> |
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</div> |
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""" |
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examples = [ |
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["zh", "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", "singer1 (male)"], |
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["zh", "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", "singer1 (male)"], |
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["zh", "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", "singer1 (male)"], |
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["zh", "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", "singer1 (male)"], |
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["zh", "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", "singer1 (male)"], |
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["zh", "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", "singer1 (male)"], |
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["zh", "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", "singer2 (female)"], |
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["zh", "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", "singer2 (female)"], |
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["zh", "SP 你 看 着 车 窗 - SP", " 0.41 0.96 0.7 0.64 1.12 1.14 1.04 0.29", "0 60 60 62 60 64 65 0", "singer3 (male)"], |
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["jp", "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", "singer8 (female)"], |
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["jp", "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", "singer8 (female)"], |
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["jp", "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", "singer8 (female)"], |
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["jp", "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", "singer8 (female)"], |
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["jp", "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", "singer2 (female)"], |
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["jp", "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", "singer10 (female)"], |
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["jp", "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", "singer9 (male)"], |
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] |
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app = gr.Interface( |
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fn=gen_song, |
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inputs=[ |
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gr.Radio(label="language", choices=["zh", "jp"], value="zh"), |
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gr.Textbox(label="Lyrics"), |
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gr.Textbox(label="Duration"), |
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gr.Textbox(label="Pitch"), |
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gr.Radio( |
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label="Singer", |
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choices=[ |
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"singer1 (male)", |
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"singer2 (female)", |
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"singer3 (male)", |
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"singer4 (female)", |
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"singer4 (male)", |
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"singer6 (female)", |
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"singer7 (male)", |
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"singer8 (female)", |
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"singer9 (male)", |
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"singer10 (female)", |
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], |
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value="singer1 (male)", |
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), |
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], |
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outputs=[ |
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gr.Audio(label="Generated Song", type="numpy"), |
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gr.Textbox(label="Running Status"), |
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], |
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title=title, |
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description=description, |
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article=article, |
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examples=examples, |
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) |
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app.launch() |
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