90 lines
2.8 KiB
Python
90 lines
2.8 KiB
Python
import logging
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import base64
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from io import BytesIO
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from typing import List, Dict, Any
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logger = logging.getLogger(__name__)
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class SpeechToTextConverter:
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"""语音转文字转换器"""
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def __init__(self):
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"""初始化语音转文字转换器"""
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logger.info("初始化语音转文字转换器")
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# 这里可以加载预训练模型
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# 示例中使用简单的规则转换
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def convert(self, audios: List[str], params: Dict[str, Any] = None) -> List[Dict[str, Any]]:
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"""转换语音为文字
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Args:
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audios: 音频列表，每个音频为base64编码字符串
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params: 转换参数
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Returns:
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转换结果列表
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"""
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if params is None:
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params = {}
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language = params.get("language", "zh")
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results = []
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for audio_base64 in audios:
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# 简单的规则转换示例
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transcription = self._simple_convert(audio_base64, language)
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results.append({
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"audio": audio_base64[:100] + "..." if len(audio_base64) > 100 else audio_base64,
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"text": transcription["text"],
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"confidence": transcription["confidence"]
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})
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return results
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def _simple_convert(self, audio_base64: str, language: str) -> Dict[str, Any]:
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"""简单的语音转文字实现
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Args:
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audio_base64: base64编码的音频
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language: 语言
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Returns:
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转换结果
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"""
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# 简单的规则转换（基于音频大小和内容特征）
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try:
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# 解码base64
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audio_data = base64.b64decode(audio_base64)
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# 计算音频大小特征
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audio_size = len(audio_data)
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# 基于大小的简单转换
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if audio_size < 10240: # 小于10KB
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text = "这是一段短音频"
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elif audio_size < 102400: # 小于100KB
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text = "这是一段中等长度的音频"
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else: # 大于100KB
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text = "这是一段长音频"
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# 根据语言调整文本
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if language == "en":
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if audio_size < 10240:
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text = "This is a short audio"
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elif audio_size < 102400:
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text = "This is a medium length audio"
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else:
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text = "This is a long audio"
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return {
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"text": text,
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"confidence": 0.85
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}
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except Exception as e:
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logger.error(f"Speech to text conversion error: {str(e)}")
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return {
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"text": "",
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"confidence": 0.0
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}
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