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README.md

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+---
+title: YingMusic-Singer
+emoji: 🎤
+colorFrom: "#FE9EC7"
+colorTo: "#89D4FF"
+sdk: gradio
+python_version: "3.10"
+app_file: app.py
+tags:
+  - singing-voice-synthesis
+  - lyric-editing
+  - diffusion-model
+  - reinforcement-learning
+short_description: Melody-controllable singing voice synthesis with flexible lyric editing
+fullWidth: true
+---
+
+# YingMusic-Singer
+YingMusic-Singer: Controllable Singing Voice Synthesis with Flexible Lyric Manipulation and Annotation-free Melody Guidance
+
+## Environment Setup
+
+### 1. Install from Scratch
+```bash
+conda create -n YingMusic-Singer python=3.10
+conda activate YingMusic-Singer
+
+# uv is much quicker
+pip install uv
+uv pip install -r requirements.txt
+```
+
+### 2. Pre-built Conda Environment for One-Click Deployment (Nvidia / AMD CPU Only)
+
+Coming soon
+
+## License
+
+The code and model weights in this project are licensed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/), except for the following components:
+
+The VAE model weights and inference code (in `src/YingMusic-Singer/utils/stable-audio-tools`) are derived from [Stable Audio Open](https://huggingface.co/stabilityai/stable-audio-open-1.0) by Stability AI, and are licensed under the [Stability AI Community License](./LICENSE-STABILITY).

app.py

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+"""
+YingMusic Singer - Gradio Web Interface
+========================================
+基于参考音色与旋律音频的歌声合成系统，支持自动分离人声与伴奏。
+A singing voice synthesis system powered by YingMusicSinger,
+with built-in vocal/accompaniment separation via MelBandRoformer.
+"""
+
+import gradio as gr
+import torch
+import torchaudio
+import tempfile
+import os
+import numpy as np
+
+# ---------------------------------------------------------------------------
+# Model loading (lazy, singleton) / 模型懒加载（单例）
+# ---------------------------------------------------------------------------
+_model = None
+_separator = None
+
+
+def get_model(device: str = "cuda:0"):
+    """加载 YingMusicSinger 模型 / Load YingMusicSinger model."""
+    global _model
+    if _model is None:
+        from src.YingMusicSinger.infer.YingMusicSinger import YingMusicSinger
+
+        _model = YingMusicSinger(device=device)
+    return _model
+
+
+def get_separator(device: str = "cuda:0"):
+    """
+    加载 MelBandRoformer 分离模型 / Load MelBandRoformer separator.
+    Returns a Separator instance ready for inference.
+    """
+    global _separator
+    if _separator is None:
+        from src.third_party.MusicSourceSeparationTraining.inference_api import (
+            Separator,
+        )
+
+        _separator = Separator(
+            config_path="ckpts/config_vocals_mel_band_roformer_kj.yaml",
+            checkpoint_path="ckpts/MelBandRoformer.ckpt",
+            device=device,
+        )
+    return _separator
+
+
+# ---------------------------------------------------------------------------
+# Vocal separation utilities / 人声分离工具
+# ---------------------------------------------------------------------------
+def separate_vocals(
+    audio_path: str,
+    device: str = "cuda:0",
+) -> tuple:
+    """
+    使用 MelBandRoformer 将音频分离为人声和伴奏。
+    Separate audio into vocals and accompaniment using MelBandRoformer.
+
+    Returns:
+        (vocals_path, accompaniment_path)
+    """
+    separator = get_separator(device=device)
+
+    wav, sr = torchaudio.load(audio_path)
+    vocal_wav, inst_wav, out_sr = separator.separate(wav, sr)
+
+    tmp_dir = tempfile.mkdtemp()
+    vocals_path = os.path.join(tmp_dir, "vocals.wav")
+    accomp_path = os.path.join(tmp_dir, "accompaniment.wav")
+    torchaudio.save(vocals_path, torch.from_numpy(vocal_wav), out_sr)
+    torchaudio.save(accomp_path, torch.from_numpy(inst_wav), out_sr)
+
+    return vocals_path, accomp_path
+
+
+def mix_vocal_and_accompaniment(
+    vocal_path: str,
+    accomp_path: str,
+    vocal_gain: float = 1.0,
+) -> str:
+    """
+    将合成人声与伴奏混合为最终音频。
+    Mix synthesised vocals with accompaniment into a final audio file.
+    """
+    vocal_wav, vocal_sr = torchaudio.load(vocal_path)
+    accomp_wav, accomp_sr = torchaudio.load(accomp_path)
+
+    # 统一采样率至人声采样率 / Resample accompaniment to match vocal sample rate
+    if accomp_sr != vocal_sr:
+        accomp_wav = torchaudio.functional.resample(accomp_wav, accomp_sr, vocal_sr)
+
+    # 统一声道数 / Match channel count
+    if vocal_wav.shape[0] != accomp_wav.shape[0]:
+        if vocal_wav.shape[0] == 1:
+            vocal_wav = vocal_wav.expand(accomp_wav.shape[0], -1)
+        else:
+            accomp_wav = accomp_wav.expand(vocal_wav.shape[0], -1)
+
+    # 对齐长度（以较短者为准）/ Align to shorter length
+    min_len = min(vocal_wav.shape[1], accomp_wav.shape[1])
+    vocal_wav = vocal_wav[:, :min_len]
+    accomp_wav = accomp_wav[:, :min_len]
+
+    mixed = vocal_wav * vocal_gain + accomp_wav
+    # 防止 clipping / Prevent clipping
+    peak = mixed.abs().max()
+    if peak > 1.0:
+        mixed = mixed / peak
+
+    out_path = os.path.join(tempfile.mkdtemp(), "mixed_output.wav")
+    torchaudio.save(out_path, mixed, sample_rate=vocal_sr)
+    return out_path
+
+
+# ---------------------------------------------------------------------------
+# Inference wrapper / 推理入口
+# ---------------------------------------------------------------------------
+def synthesize(
+    ref_audio,
+    melody_audio,
+    ref_text,
+    target_text,
+    separate_vocals_flag,
+    mix_accompaniment_flag,
+    sil_len_to_end,
+    t_shift,
+    nfe_step,
+    cfg_strength,
+    seed,
+):
+    """
+    主合成流程 / Main synthesis pipeline.
+
+    1. (可选) 用 MelBandRoformer 分离参考音频和旋律音频的人声与伴奏
+       (Optional) Separate vocals & accompaniment from both ref and melody audio via MelBandRoformer
+    2. 送入 YingMusicSinger 合成
+       Run YingMusicSinger inference
+    3. (可选) 将合成人声与旋律音频的伴奏混合
+       (Optional) Mix synthesised vocals with melody accompaniment
+    """
+    import random
+
+    # ---- 输入校验 / Input validation -----------------------------------------
+    if ref_audio is None:
+        raise gr.Error("请上传参考音频 / Please upload Reference Audio")
+    if melody_audio is None:
+        raise gr.Error("请上传旋律音频 / Please upload Melody Audio")
+    if not ref_text.strip():
+        raise gr.Error("请输入参考音频对应的歌词 / Please enter Reference Text")
+    if not target_text.strip():
+        raise gr.Error("请输入目标合成歌词 / Please enter Target Text")
+
+    ref_audio_path = ref_audio if isinstance(ref_audio, str) else ref_audio[0]
+    melody_audio_path = (
+        melody_audio if isinstance(melody_audio, str) else melody_audio[0]
+    )
+
+    # seed = -1 means random / seed 为 -1 时随机生成
+    actual_seed = int(seed)
+    if actual_seed < 0:
+        actual_seed = random.randint(0, 2**31 - 1)
+
+    device = "cuda:0" if torch.cuda.is_available() else "cpu"
+
+    # ---- Step 1: 人声分离（参考音频 + 旋律音频）/ Vocal separation for both (optional) ----
+    melody_accomp_path = None
+    actual_ref_path = ref_audio_path
+    actual_melody_path = melody_audio_path
+
+    if separate_vocals_flag:
+        # 分离参考音频 / Separate reference audio
+        ref_vocals_path, _ = separate_vocals(ref_audio_path, device=device)
+        actual_ref_path = ref_vocals_path
+
+        # 分离旋律音频 / Separate melody audio
+        melody_vocals_path, melody_accomp_path = separate_vocals(
+            melody_audio_path, device=device
+        )
+        actual_melody_path = melody_vocals_path
+
+    # ---- Step 2: 模型推理 / Model inference ----------------------------------
+    model = get_model(device=device)
+
+    audio_tensor, sr = model(
+        ref_audio_path=actual_ref_path,
+        melody_audio_path=actual_melody_path,
+        ref_text=ref_text.strip(),
+        target_text=target_text.strip(),
+        lrc_align_mode="sentence_level",
+        sil_len_to_end=float(sil_len_to_end),
+        t_shift=float(t_shift),
+        nfe_step=int(nfe_step),
+        cfg_strength=float(cfg_strength),
+        seed=actual_seed,
+    )
+
+    # 先保存纯人声合成结果 / Save raw vocal synthesis result
+    vocal_out_path = os.path.join(tempfile.mkdtemp(), "vocal_output.wav")
+    torchaudio.save(vocal_out_path, audio_tensor, sample_rate=sr)
+
+    # ---- Step 3: 混合伴奏 / Mix accompaniment (optional) ---------------------
+    if (
+        separate_vocals_flag
+        and mix_accompaniment_flag
+        and melody_accomp_path is not None
+    ):
+        final_path = mix_vocal_and_accompaniment(vocal_out_path, melody_accomp_path)
+        return final_path
+    else:
+        return vocal_out_path
+
+
+# ---------------------------------------------------------------------------
+# Custom CSS / 自定义样式
+# ---------------------------------------------------------------------------
+CUSTOM_CSS = """
+@import url('https://fonts.googleapis.com/css2?family=DM+Sans:ital,opsz,wght@0,9..40,300;0,9..40,500;0,9..40,700;1,9..40,400&family=Playfair+Display:wght@600;800&display=swap');
+
+:root {
+    --primary: #e85d04;
+    --primary-light: #f48c06;
+    --bg-dark: #0d1117;
+    --surface: #161b22;
+    --surface-light: #21262d;
+    --text: #f0f6fc;
+    --text-muted: #8b949e;
+    --accent-glow: rgba(232, 93, 4, 0.15);
+    --border: #30363d;
+}
+
+.gradio-container {
+    font-family: 'DM Sans', sans-serif !important;
+    max-width: 1100px !important;
+    margin: auto !important;
+}
+
+/* ---------- Header / 头部 ---------- */
+#app-header {
+    text-align: center;
+    padding: 2.5rem 1rem 1.5rem;
+}
+#app-header h1 {
+    font-family: 'Playfair Display', serif !important;
+    font-size: 2.6rem !important;
+    font-weight: 800 !important;
+    background: linear-gradient(135deg, #f48c06, #e85d04, #dc2f02);
+    -webkit-background-clip: text;
+    -webkit-text-fill-color: transparent;
+    margin-bottom: 0.3rem !important;
+    letter-spacing: -0.02em;
+}
+#app-header p {
+    color: var(--text-muted);
+    font-size: 1.05rem;
+    margin-top: 0;
+}
+
+/* ---------- Section labels / 分区标题 ---------- */
+.section-title {
+    font-family: 'DM Sans', sans-serif !important;
+    font-weight: 700 !important;
+    font-size: 1rem !important;
+    letter-spacing: 0.06em;
+    text-transform: uppercase;
+    color: var(--primary-light) !important;
+    border-bottom: 2px solid var(--primary);
+    padding-bottom: 6px;
+    margin-bottom: 12px !important;
+}
+
+/* ---------- Run button / 合成按钮 ---------- */
+#run-btn {
+    background: linear-gradient(135deg, #e85d04, #dc2f02) !important;
+    border: none !important;
+    color: #fff !important;
+    font-weight: 700 !important;
+    font-size: 1.1rem !important;
+    letter-spacing: 0.04em;
+    padding: 12px 0 !important;
+    border-radius: 10px !important;
+    transition: transform 0.15s, box-shadow 0.25s !important;
+    box-shadow: 0 4px 20px rgba(232, 93, 4, 0.35) !important;
+}
+#run-btn:hover {
+    transform: translateY(-1px) !important;
+    box-shadow: 0 6px 28px rgba(232, 93, 4, 0.5) !important;
+}
+
+/* ---------- Output audio / 输出音频 ---------- */
+#output-audio {
+    border: 2px solid var(--primary) !important;
+    border-radius: 12px !important;
+    background: var(--accent-glow) !important;
+}
+"""
+
+
+# ---------------------------------------------------------------------------
+# Build the Gradio UI / 构建界面
+# ---------------------------------------------------------------------------
+def build_ui():
+    with gr.Blocks(
+        css=CUSTOM_CSS, title="YingMusic Singer", theme=gr.themes.Base()
+    ) as demo:
+        # ---- Header / 头部 ----
+        gr.HTML(
+            """
+            <div id="app-header">
+                <h1>♫ YingMusic Singer</h1>
+                <p>基于参考音色与旋律音频的歌声合成系统 &nbsp;·&nbsp; Singing Voice Synthesis</p>
+            </div>
+            """
+        )
+
+        # ================================================================
+        # ROW 1 – 音频输入 / Audio Inputs + 歌词 / Lyrics (side by side)
+        # ================================================================
+        with gr.Row(equal_height=True):
+            # ---- 左栏：音频上传 / Left column: audio uploads ----
+            with gr.Column(scale=1):
+                gr.Markdown(
+                    "#### 🎙️ 音频输入 / Audio Inputs", elem_classes="section-title"
+                )
+                ref_audio = gr.Audio(
+                    label="参考音频 / Reference Audio（提供音色 / provides timbre）",
+                    type="filepath",
+                )
+                melody_audio = gr.Audio(
+                    label="旋律音频 / Melody Audio（提供旋律与时长 / provides melody & duration）",
+                    type="filepath",
+                )
+
+            # ---- 右栏：歌词 / Right column: lyrics ----
+            with gr.Column(scale=1):
+                gr.Markdown("#### ✏️ 歌词 / Lyrics", elem_classes="section-title")
+                ref_text = gr.Textbox(
+                    label="参考音频歌词 / Reference Text",
+                    placeholder="例如 / e.g.：该体谅的不执着|如果那天我",
+                    lines=5,
+                )
+                target_text = gr.Textbox(
+                    label="目标合成歌词 / Target Text",
+                    placeholder="例如 / e.g.：好多天|看不完你",
+                    lines=5,
+                )
+
+        # ================================================================
+        # ROW 2 – 伴奏分离选项 / Vocal Separation Options
+        # ================================================================
+        gr.Markdown("#### 🎚️ 伴奏分离 / Vocal Separation", elem_classes="section-title")
+        with gr.Row():
+            separate_vocals_flag = gr.Checkbox(
+                value=True,
+                label="分离人声后过模型 / Separate vocals before synthesis",
+                info=(
+                    "从参考音频和旋律音频中分离人声，仅用人声送入模型 / "
+                    "Extract vocals from both reference and melody audio before feeding into the model"
+                ),
+            )
+            mix_accompaniment_flag = gr.Checkbox(
+                value=False,
+                interactive=True,
+                label="输出时混入伴奏 / Mix accompaniment into output",
+                info=(
+                    "将合成人声与分离出的伴奏混合输出（需先开启人声分离）/ "
+                    "Mix synthesised vocals with separated accompaniment (requires vocal separation)"
+                ),
+            )
+
+        # ================================================================
+        # ROW 3 – 高级参数 / Advanced Parameters (collapsible)
+        # ================================================================
+        with gr.Accordion("⚙️ 高级参数 / Advanced Parameters", open=False):
+            with gr.Row():
+                nfe_step = gr.Slider(
+                    minimum=4,
+                    maximum=128,
+                    value=32,
+                    step=1,
+                    label="采样步数 / NFE Steps",
+                    info="更多步数 = 更高质量，但更慢 / More steps = higher quality, but slower",
+                )
+                cfg_strength = gr.Slider(
+                    minimum=0.0,
+                    maximum=10.0,
+                    value=3.0,
+                    step=0.1,
+                    label="CFG 强度 / CFG Strength",
+                    info="Classifier‑Free Guidance 强度 / Classifier‑Free Guidance strength",
+                )
+                t_shift = gr.Slider(
+                    minimum=0.0,
+                    maximum=1.0,
+                    value=0.5,
+                    step=0.01,
+                    label="采样时间偏移 / t‑shift",
+                )
+            with gr.Row():
+                sil_len_to_end = gr.Slider(
+                    minimum=0.0,
+                    maximum=3.0,
+                    value=0.5,
+                    step=0.1,
+                    label="末尾静音时长 (秒) / Silence Padding (s)",
+                    info="参考音频末尾追加的静音 / Silence appended after reference audio",
+                )
+                seed = gr.Number(
+                    value=-1,
+                    precision=0,
+                    label="随机种子 / Random Seed",
+                    info="-1 表示随机 / -1 means random",
+                )
+
+        # ================================================================
+        # ROW 4 – 合成按钮与输出 / Run & Output
+        # ================================================================
+        run_btn = gr.Button("🎤  开始合成 / Synthesize", elem_id="run-btn", size="lg")
+
+        output_audio = gr.Audio(
+            label="合成结果 / Generated Audio",
+            type="filepath",
+            elem_id="output-audio",
+        )
+
+        # ---- 联动：未开启分离时，禁用伴奏混合 ----
+        # ---- Disable mix checkbox when separation is off ----
+        separate_vocals_flag.change(
+            fn=lambda sep: gr.update(
+                interactive=sep, value=False if not sep else False
+            ),
+            inputs=[separate_vocals_flag],
+            outputs=[mix_accompaniment_flag],
+        )
+
+        # ---- 绑定事件 / Wire up ----
+        run_btn.click(
+            fn=synthesize,
+            inputs=[
+                ref_audio,
+                melody_audio,
+                ref_text,
+                target_text,
+                separate_vocals_flag,
+                mix_accompaniment_flag,
+                sil_len_to_end,
+                t_shift,
+                nfe_step,
+                cfg_strength,
+                seed,
+            ],
+            outputs=output_audio,
+        )
+
+        # ---- 页脚 / Footer ----
+        gr.Markdown(
+            """
+            ---
+            <center style="color:#8b949e; font-size:0.85rem;">
+            YingMusic Singer &nbsp;·&nbsp; 基于 Flow Matching + VAE / Powered by Flow Matching + VAE &nbsp;·&nbsp;
+            用 <code>|</code> 分隔歌词中的乐句 / Use <code>|</code> to separate phrases in lyrics
+            </center>
+            """,
+        )
+
+    return demo
+
+
+# ---------------------------------------------------------------------------
+# Entry point / 启动入口
+# ---------------------------------------------------------------------------
+if __name__ == "__main__":
+    demo = build_ui()
+    demo.queue()
+    demo.launch(server_name="0.0.0.0", server_port=7860, share=False)

requirements.txt

@@ -0,0 +1,202 @@
+absl-py==2.3.1
+accelerate==1.12.0
+aiofiles==24.1.0
+aiohappyeyeballs==2.6.1
+aiohttp==3.12.15
+aiosignal==1.4.0
+alias-free-torch==0.0.6
+annotated-types==0.7.0
+antlr4-python3-runtime==4.9.3
+anyio==4.11.0
+argbind==0.3.9
+argparse==1.4.0
+async-timeout==5.0.1
+attrs==25.3.0
+audiobox-aesthetics==0.0.4
+audioread==3.0.1
+av==16.0.1
+beartype==0.22.2
+bitsandbytes==0.48.1
+brotli==1.1.0
+certifi==2025.8.3
+cffi==2.0.0
+chardet==5.2.0
+charset-normalizer==3.4.3
+click==8.3.0
+cloudpickle==3.1.1
+colorama==0.4.6
+coloredlogs==15.0.1
+configparser==7.2.0
+cryptography==46.0.3
+datasets==2.21.0
+dctorch==0.1.2
+decorator==5.2.1
+deprecated==1.2.18
+descript-audio-codec==1.0.0
+descript-audiotools==0.7.2
+diffusers==0.36.0
+dill==0.3.8
+distro==1.9.0
+dlinfo==2.0.0
+docstring-parser==0.17.0
+easydict==1.13
+einops==0.8.1
+einops-exts==0.0.4
+einx==0.3.0
+ema-pytorch==0.7.7
+encodec==0.1.1
+exceptiongroup==1.3.0
+fastapi==0.118.0
+ffmpy==0.6.1
+filelock==3.19.1
+fire==0.7.1
+flash-attn==2.8.3
+flatten-dict==0.4.2
+frozendict==2.4.6
+frozenlist==1.7.0
+fsspec==2024.6.1
+ftfy==6.3.1
+future==1.0.0
+gin-config==0.5.0
+gradio==5.49.0
+gradio-client==1.13.3
+grpcio==1.75.1
+h11==0.16.0
+hf-xet==1.1.10
+httpcore==1.0.9
+httpx==0.28.1
+huggingface-hub==0.35.3
+humanfriendly==10.0
+hydra-core==1.3.2
+idna==3.10
+importlib-metadata==8.7.1
+importlib-resources==6.5.2
+jinja2==3.1.6
+jiter==0.12.0
+joblib==1.5.2
+jsonmerge==1.9.2
+jsonschema==4.25.1
+jsonschema-specifications==2025.9.1
+julius==0.2.7
+k-diffusion==0.1.1.post1
+lameenc==1.8.1
+lazy-loader==0.4
+librosa==0.10.2.post1
+lightning==2.6.1
+lightning-utilities==0.15.2
+llvmlite==0.45.1
+loguru==0.7.3
+loralib==0.1.2
+markdown==3.9
+markdown-it-py==4.0.0
+markdown2==2.5.4
+markupsafe==3.0.3
+mdurl==0.1.2
+midi2audio==0.1.1
+mido==1.3.3
+ml-collections==1.1.0
+modelscope==1.32.0
+more-itertools==10.8.0
+mpmath==1.3.0
+msgpack==1.1.1
+multidict==6.6.4
+multiprocess==0.70.16
+munch==4.0.0
+muq==0.1.0
+music21==9.9.1
+mutagen==1.47.0
+networkx==3.4.2
+nnaudio==0.3.3
+numba==0.62.1
+numpy==2.2.6
+omegaconf==2.3.0
+orjson==3.11.3
+packaging==25.0
+pandas==2.2.3
+peft==0.11.1
+platformdirs==4.4.0
+pooch==1.8.2
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