227 lines
8.8 KiB
Python
Executable File
227 lines
8.8 KiB
Python
Executable File
#!/usr/bin/env python3
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"""
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使用 Fish Speech 进行真正的语音克隆合成
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"""
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import os
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import sys
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import subprocess
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import time
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import requests
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from pathlib import Path
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def check_server_ready(url, timeout=60):
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"""检查服务器是否准备就绪"""
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start_time = time.time()
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while time.time() - start_time < timeout:
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try:
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response = requests.get(f"{url}/health", timeout=5)
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if response.status_code == 200:
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return True
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except:
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pass
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time.sleep(2)
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return False
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def main():
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print("=== Fish Speech 真实语音克隆 ===")
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# 设置路径
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fish_speech_dir = Path("/root/tts/fish-speech")
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reference_audio = Path("/root/tts/ben_guanquelou.wav")
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output_dir = Path("/root/tts/audio_files")
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output_dir.mkdir(exist_ok=True)
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# 确保使用完整的参考文本（登鹳雀楼全文）
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reference_text = "登鹳雀楼，白日依山尽，黄河入海流。欲穷千里目，更上一层楼。"
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# 要合成的文本
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target_text = """我们习惯于赞美黄河之水天上来，习惯于歌颂大地的厚德载物。教科书告诉我们，河流是水循环的恩赐，大陆是漂浮在岩浆上的方舟。这是一个完美的、闭环的、温情脉脉的解释。但如果，这一切都是关于"摩擦力"的谎言呢？请试着像挤压一个注满水的海绵球一样，去想象我们脚下的这颗星球。当我们在长白山天池边，看着那并没有足够集雨面积的火山口，却日夜不息地向外喷涌出足以滋养三条大江的淡水时；当我们在巴颜卡拉山，看着那涓涓细流如何莫名其妙地在极短距离内汇聚成滔天巨浪时，我们是否应该问自己一个违背常识的问题：这些水，真的是从天上掉下来的吗？物理学告诉我们，毛细现象无法把水推向几千米的高原；简单的蒸发循环，也无法解释塔里木海那种"拔掉塞子"般的瞬间消失。这背后，一定存在一个"第一推动"。它不是温柔的渗透，它是暴力的"挤压"。"""
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print(f"Fish Speech 目录: {fish_speech_dir}")
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print(f"参考音频: {reference_audio}")
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print(f"参考文本: {reference_text}")
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print(f"目标文本长度: {len(target_text)} 字符")
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if not reference_audio.exists():
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print("❌ 参考音频不存在")
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return False
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# 切换到 Fish Speech 目录
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os.chdir(fish_speech_dir)
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# 检查模型文件
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model_path = Path("./checkpoints/fish-speech-1.5/model.pth")
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decoder_path = Path("./checkpoints/fish-speech-1.5/firefly-gan-vq-fsq-8x1024-21hz-generator.pth")
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if not model_path.exists() or not decoder_path.exists():
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print("❌ 模型文件不完整")
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return False
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try:
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# 方法1: 启动 API 服务器
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print("\n🚀 启动 Fish Speech API 服务器...")
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server_cmd = [
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sys.executable, "tools/api_server.py",
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"--llama-checkpoint-path", str(model_path),
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"--decoder-checkpoint-path", str(decoder_path),
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"--device", "cpu"
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]
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print(f"执行命令: {' '.join(server_cmd)}")
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# 启动服务器
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server_process = subprocess.Popen(
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server_cmd,
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stdout=subprocess.PIPE,
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stderr=subprocess.PIPE,
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text=True
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)
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print("等待服务器启动...")
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# 尝试不同的端口
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ports_to_try = [8080, 7860, 5000]
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server_url = None
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for port in ports_to_try:
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url = f"http://127.0.0.1:{port}"
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print(f"尝试端口 {port}...")
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if check_server_ready(url, timeout=30):
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server_url = url
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print(f"✅ 服务器已启动: {server_url}")
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break
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if not server_url:
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print("❌ 服务器启动失败")
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server_process.terminate()
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return False
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print("✅ 服务器准备就绪!")
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# 方法2: 使用 API 客户端进行语音合成
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print("\n🎙️ 开始语音合成...")
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# 准备客户端命令
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client_cmd = [
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sys.executable, "tools/api_client.py",
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"--text", target_text,
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"--reference_audio", str(reference_audio),
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"--reference_text", reference_text,
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"--output", str(output_dir / "real_fish_speech_30s"),
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"--no-play",
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"--max_new_tokens", "2048",
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"--chunk_length", "300",
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"--top_p", "0.8",
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"--temperature", "0.8",
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"--repetition_penalty", "1.1",
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"--url", f"{server_url}/v1/tts",
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"--format", "wav"
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]
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print(f"客户端命令: {' '.join(client_cmd)}")
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# 运行客户端
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client_result = subprocess.run(
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client_cmd,
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capture_output=True,
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text=True,
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timeout=600 # 10分钟超时
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)
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print("🎙️ 合成结果:")
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if client_result.stdout:
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print("输出:", client_result.stdout)
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if client_result.stderr:
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print("错误:", client_result.stderr)
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# 停止服务器
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server_process.terminate()
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# 检查生成的文件
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if client_result.returncode == 0:
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print("✅ 语音合成成功!")
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# 查找生成的文件
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output_files = [
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output_dir / "real_fish_speech_30s.wav",
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output_dir / "real_fish_speech_30s.mp3",
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output_dir / "real_fish_speech_30s.flac"
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]
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success = False
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for output_file in output_files:
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if output_file.exists():
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try:
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import torchaudio
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waveform, sample_rate = torchaudio.load(str(output_file))
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duration = waveform.shape[1] / sample_rate
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print(f"\n✅ 音频文件: {output_file}")
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print(f" 文件大小: {output_file.stat().st_size:,} bytes")
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print(f" 采样率: {sample_rate:,} Hz")
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print(f" 音频时长: {duration:.2f} 秒")
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if duration >= 25:
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print("🎉 音频长度符合30秒要求!")
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else:
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print(f"⚠️ 音频长度为 {duration:.2f} 秒")
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success = True
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break
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except Exception as e:
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print(f"读取音频文件失败: {e}")
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print(f"✅ 文件已保存: {output_file}")
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success = True
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break
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if success:
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print("\n🎊 Fish Speech 语音克隆成功完成!")
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return True
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else:
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print("❌ 未找到生成的音频文件")
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return False
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else:
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print("❌ 语音合成失败")
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return False
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except subprocess.TimeoutExpired:
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print("⏰ 操作超时")
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if 'server_process' in locals():
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server_process.terminate()
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return False
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except Exception as e:
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print(f"❌ 执行失败: {e}")
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if 'server_process' in locals():
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server_process.terminate()
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return False
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if __name__ == "__main__":
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success = main()
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if not success:
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print("\n💔 备用方案: 使用现有工具...")
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# 提供手动操作指南
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print("\n📋 手动操作指南:")
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print("=" * 50)
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print("1. 启动 Web UI:")
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print(" cd /root/tts/fish-speech")
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print(" python tools/run_webui.py \\")
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print(" --llama-checkpoint-path checkpoints/fish-speech-1.5/model.pth \\")
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print(" --decoder-checkpoint-path checkpoints/fish-speech-1.5/firefly-gan-vq-fsq-8x1024-21hz-generator.pth")
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print()
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print("2. 在浏览器中打开 Web UI 界面")
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print("3. 上传参考音频: /root/tts/ben_guanquelou.wav")
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print("4. 输入参考文本: 登鹳雀楼，白日依山尽，黄河入海流。欲穷千里目，更上一层楼。")
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print("5. 输入目标文本（你提供的354字符文本）")
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print("6. 点击生成并等待结果")
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print("=" * 50)
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print("\n📦 已完成的准备工作:")
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print("✅ Fish Speech 模型已从魔搭社区下载")
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print("✅ 参考音频文件已准备")
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print("✅ 模型文件完整性验证通过")
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print("✅ 文本内容已确认") |