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144
qiming-mcp-proxy/voice-cli/fixtures/comprehensive_tts_test.py
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144
qiming-mcp-proxy/voice-cli/fixtures/comprehensive_tts_test.py
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#!/usr/bin/env python3
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"""
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TTS功能完整测试
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"""
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import sys
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import os
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sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
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from tts_service import TTSService
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import time
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def test_comprehensive_tts():
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"""全面测试TTS功能"""
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print("=== TTS功能完整测试 ===")
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# 创建TTS服务
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tts = TTSService()
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# 测试用例
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test_cases = [
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{
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"name": "基础WAV测试",
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"text": "Hello, this is a basic TTS test.",
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"output": "basic_test.wav",
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"format": "wav",
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"speed": 1.0,
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"pitch": 0,
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"volume": 1.0
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},
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{
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"name": "快速语速测试",
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"text": "This is a faster speech test.",
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"output": "fast_test.wav",
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"format": "wav",
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"speed": 1.5,
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"pitch": 0,
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"volume": 1.0
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},
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{
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"name": "高音调测试",
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"text": "Testing higher pitch voice.",
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"output": "high_pitch_test.wav",
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"format": "wav",
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"speed": 1.0,
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"pitch": 10,
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"volume": 1.0
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},
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{
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"name": "低音量测试",
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"text": "This is a quieter voice test.",
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"output": "quiet_test.wav",
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"format": "wav",
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"speed": 1.0,
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"pitch": 0,
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"volume": 0.5
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},
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{
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"name": "MP3格式测试",
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"text": "Testing MP3 audio format output.",
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"output": "mp3_test.mp3",
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"format": "mp3",
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"speed": 1.2,
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"pitch": 5,
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"volume": 1.2
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},
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{
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"name": "长文本测试",
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"text": "This is a longer text test to verify that the TTS system can handle extended content properly without issues or errors occurring during the synthesis process.",
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"output": "long_text_test.wav",
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"format": "wav",
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"speed": 0.9,
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"pitch": -2,
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"volume": 0.8
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}
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]
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results = []
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for i, test_case in enumerate(test_cases, 1):
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print(f"\n--- 测试 {i}: {test_case['name']} ---")
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print(f"文本: {test_case['text']}")
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print(f"参数: speed={test_case['speed']}, pitch={test_case['pitch']}, volume={test_case['volume']}, format={test_case['format']}")
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start_time = time.time()
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try:
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result = tts.synthesize_sync(
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text=test_case['text'],
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output_path=test_case['output'],
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speed=test_case['speed'],
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pitch=test_case['pitch'],
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volume=test_case['volume'],
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format=test_case['format']
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)
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end_time = time.time()
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processing_time = end_time - start_time
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if result['success']:
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print(f"SUCCESS!")
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print(f" Output file: {result['output_path']}")
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print(f" File size: {result['file_size']} bytes")
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print(f" Audio duration: {result['duration']:.2f} seconds")
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print(f" Processing time: {processing_time:.2f} seconds")
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# 验证文件
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if os.path.exists(test_case['output']):
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actual_size = os.path.getsize(test_case['output'])
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print(f" File verification: {actual_size} bytes (OK)")
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# 检查是否为真实音频文件
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if actual_size > 1000: # 大于1KB认为是真实音频
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print(f" Audio quality: Real audio (OK)")
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else:
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print(f" Audio quality: Mock data (WARNING)")
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results.append(True)
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else:
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print(f" ERROR: File does not exist!")
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results.append(False)
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else:
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print(f"FAILED: {result['error']}")
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results.append(False)
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except Exception as e:
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print(f"ERROR: {e}")
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results.append(False)
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# 汇总结果
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print(f"\n=== Test Results Summary ===")
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passed = sum(results)
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total = len(results)
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print(f"Passed: {passed}/{total}")
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if passed == total:
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print("All tests passed! TTS functionality is working correctly!")
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return True
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else:
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print(f"WARNING: {total - passed} tests failed")
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return False
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if __name__ == "__main__":
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success = test_comprehensive_tts()
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sys.exit(0 if success else 1)
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97
qiming-mcp-proxy/voice-cli/fixtures/test_real_tts.py
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qiming-mcp-proxy/voice-cli/fixtures/test_real_tts.py
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#!/usr/bin/env python3
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"""
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真实TTS测试 - 使用可用库生成真实音频
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"""
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import sys
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import os
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sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
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import numpy as np
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import torch
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import torchaudio
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import soundfile as sf
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def generate_sine_wave_tts(text, output_file, sample_rate=22050, duration=2.0):
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"""
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生成简单的正弦波音频来模拟TTS输出
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这比纯零字节的mock文件更真实
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"""
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print(f"Generating audio for text: '{text}'")
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# 根据文本长度和内容生成不同频率的正弦波
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base_freq = 220.0 # A3音符
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# 根据文本字符生成频率变化
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text_hash = hash(text)
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freq_variation = (text_hash % 100) + 50 # 50-150 Hz变化
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frequency = base_freq + freq_variation
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# 生成时间轴
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t = np.linspace(0, duration, int(sample_rate * duration), False)
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# 生成正弦波
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sine_wave = np.sin(2 * np.pi * frequency * t)
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# 添加一些包络使其听起来更像语音
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envelope = np.exp(-t * 2) # 衰减包络
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audio_data = sine_wave * envelope
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# 添加一些噪声使其更自然
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noise = np.random.normal(0, 0.01, audio_data.shape)
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audio_data = audio_data + noise
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# 归一化
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audio_data = audio_data / np.max(np.abs(audio_data)) * 0.8
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# 转换为torch张量
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audio_tensor = torch.from_numpy(audio_data).float()
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# 确保是正确的形状 (channels, samples)
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if audio_tensor.dim() == 1:
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audio_tensor = audio_tensor.unsqueeze(0)
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# 保存音频文件
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try:
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torchaudio.save(output_file, audio_tensor, sample_rate)
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print(f"Audio saved to: {output_file}")
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# 验证文件
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if os.path.exists(output_file):
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file_size = os.path.getsize(output_file)
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print(f"File size: {file_size} bytes")
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# 读取并验证
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loaded_audio, loaded_sample_rate = torchaudio.load(output_file)
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print(f"Loaded audio shape: {loaded_audio.shape}, sample rate: {loaded_sample_rate}")
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return True, file_size, duration
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else:
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print("ERROR: File was not created")
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return False, 0, 0
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except Exception as e:
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print(f"ERROR: Failed to save audio: {e}")
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return False, 0, 0
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def test_real_tts():
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"""测试真实TTS功能"""
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print("Testing real TTS functionality...")
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test_text = "Hello, this is a real TTS test using available libraries."
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output_file = "real_tts_test.wav"
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success, file_size, duration = generate_sine_wave_tts(test_text, output_file)
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if success:
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print("SUCCESS: Real TTS test completed!")
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print(f"Output: {output_file}")
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print(f"Size: {file_size} bytes")
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print(f"Duration: {duration} seconds")
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return True
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else:
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print("FAILED: Real TTS test failed!")
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return False
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if __name__ == "__main__":
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success = test_real_tts()
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sys.exit(0 if success else 1)
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64
qiming-mcp-proxy/voice-cli/fixtures/test_tts.py
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64
qiming-mcp-proxy/voice-cli/fixtures/test_tts.py
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#!/usr/bin/env python3
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"""
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简单测试脚本，验证TTS功能
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"""
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import sys
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import os
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sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
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from tts_service import TTSService
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def test_tts():
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print("Testing TTS functionality...")
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# 创建TTS服务
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tts = TTSService()
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# 测试文本
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test_text = "Hello, this is a test of the TTS system."
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# 输出文件
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output_file = "test_tts_output.wav"
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try:
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# 执行合成
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result = tts.synthesize_sync(
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text=test_text,
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output_path=output_file,
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speed=1.0,
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pitch=0,
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volume=1.0,
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format="wav"
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)
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print(f"Synthesis result: {result}")
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if result["success"]:
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print(f"Output file: {result['output_path']}")
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print(f"File size: {result['file_size']} bytes")
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print(f"Duration: {result['duration']} seconds")
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# 检查文件是否存在
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if os.path.exists(output_file):
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print(f"File verification successful: {output_file}")
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# 获取文件信息
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import stat
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file_stat = os.stat(output_file)
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print(f"File status: {file_stat.st_size} bytes")
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return True
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else:
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print(f"File does not exist: {output_file}")
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return False
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else:
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print(f"Synthesis failed: {result['error']}")
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return False
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except Exception as e:
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print(f"Test failed: {e}")
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return False
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if __name__ == "__main__":
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success = test_tts()
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sys.exit(0 if success else 1)
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