Synthesia用AI生成数字人口播视频

import hashlibimport timefrom typing import List, Dict, Tuple class SynthesiaPipeline:    """模拟Synthesia数字人视频生成流水线"""     def __init__(self, avatar_id: str, language: str = 'zh-CN'):        self.avatar_id = avatar_id        self.language = language        self.fps = 30  # 帧率        self.sample_rate = 22050  # 采样率     def preprocess_text(self, script: str) -> List[Dict]:        """文本预处理：分句、标注韵律和音素"""        sentences = [s.strip() for s in script.split('。') if s.strip()]        processed = []        for i, sent in enumerate(sentences):            phonemes = self._text_to_phonemes(sent)            duration = len(sent) * 0.15  # 模拟语音时长估算            processed.append({                'index': i,                'text': sent,                'phonemes': phonemes,                'duration': round(duration, 2)            })        return processed     def _text_to_phonemes(self, text: str) -> List[str]:        """模拟文本到音素的转换"""        phoneme_map = {'你': 'n-i', '好': 'h-ao', '欢': 'h-uan',                       '迎': 'y-ing', '使': 'sh-i', '用': 'y-ong'}        return [phoneme_map.get(c, c) for c in text if c.strip()]     def synthesize_audio(self, segments: List[Dict]) -> Dict:        """模拟TTS语音合成，生成音频时间轴"""        audio_timeline = []        current_time = 0.0        for seg in segments:            audio_timeline.append({                'segment_index': seg['index'],                'start': round(current_time, 2),                'end': round(current_time + seg['duration'], 2),                'phonemes': seg['phonemes']            })            current_time += seg['duration'] + 0.3  # 句间停顿        return {'timeline': audio_timeline,                'total_duration': round(current_time, 2),                'sample_rate': self.sample_rate}     def generate_avatar_frames(self, audio_data: Dict) -> List[Dict]:        """模拟数字人视频帧生成，包含唇形同步"""        total_frames = int(audio_data['total_duration'] * self.fps)        frames = []        for frame_idx in range(total_frames):            timestamp = round(frame_idx / self.fps, 3)            active_phoneme = self._find_active_phoneme(                timestamp, audio_data['timeline'])            mouth_shape = self._phoneme_to_viseme(active_phoneme)            frame_hash = hashlib.md5(                f'{self.avatar_id}:{timestamp}:{mouth_shape}'.encode()            ).hexdigest()[:8]            frames.append({                'frame_id': frame_idx,                'timestamp': timestamp,                'mouth_shape': mouth_shape,                'expression': 'neutral',                'hash': frame_hash            })        return frames     def _find_active_phoneme(self, ts: float, timeline: List) -> str:        """根据时间戳查找当前活跃的音素"""        for entry in timeline:            if entry['start'] <= ts <= entry['end']:                phonemes = entry['phonemes']                if phonemes:                    idx = int((ts - entry['start']) * 10) % len(phonemes)                    return phonemes[idx]        return 'silence'     def _phoneme_to_viseme(self, phoneme: str) -> str:        """音素到视素（唇形）的映射"""        viseme_map = {            'silence': 'rest', 'n': 'closed', 'h': 'open_medium',            'sh': 'narrow', 'y': 'open_wide'        }        prefix = phoneme.split('-')[0] if '-' in phoneme else phoneme        return viseme_map.get(prefix, 'open_small')     def compose_video(self, frames: List[Dict],                      audio_data: Dict) -> Dict:        """模拟最终视频合成"""        return {            'status': 'completed',            'avatar_id': self.avatar_id,            'language': self.language,            'total_frames': len(frames),            'duration': audio_data['total_duration'],            'fps': self.fps,            'resolution': '1920x1080',            'format': 'mp4',            'audio_sync_offset_ms': 0        }     def generate(self, script: str) -> Dict:        """执行完整的视频生成流水线"""        print(f'[1/4] 文本预处理中...')        segments = self.preprocess_text(script)        print(f'      分句完成: {len(segments)} 个片段')        print(f'[2/4] 语音合成中...')        audio = self.synthesize_audio(segments)        print(f'      音频时长: {audio["total_duration"]}秒')        print(f'[3/4] 数字人帧生成中...')        frames = self.generate_avatar_frames(audio)        print(f'      生成帧数: {len(frames)}')        print(f'[4/4] 视频合成中...')        result = self.compose_video(frames, audio)        print(f'      视频生成完成! 时长{result["duration"]}秒')        return result  # 使用示例if False and __name__ == '__main__':    pipeline = SynthesiaPipeline(avatar_id='avatar_zh_female_01',                                 language='zh-CN')    script = '欢迎你使用Synthesia数字人视频平台。我们可以帮你快速生成专业视频。'    result = pipeline.generate(script)    print(f'生成结果: {result}')