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@@ -105,21 +105,20 @@ class XunFeiAudioEvaluator_cn:
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"app_id": self.appid
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},
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"business": {
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"category": "read_sentence",
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"category": "read_chapter",
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"rstcd": "utf8",
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"sub": "ise",
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"group": "pupil", # 根据文档设置为小学组
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"group": "adult", # 根据文档设置为小学组
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"ent": "cn_vip", # 固定中文引擎
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"tte": "utf-8",
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"cmd": "ssb",
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"auf": "audio/L16;rate=16000", # 修复参数格式错误
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"aue": "lame",
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#"auf": "audio/L16;rate=16000", # 修复参数格式错误
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"aue": "lame",# mp3
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"text": '\uFEFF' + "[content]\n" + self.txt, # 确保UTF8 BOM
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"extra_ability": "multi_dimension" # 启用多维度评分
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},
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"data": {
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"status": 0,
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"data": ""
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}
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}
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ws.send(json.dumps(send_dict))
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@@ -169,21 +168,21 @@ class XunFeiAudioEvaluator_cn:
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"""解析中文评测XML结果(仅处理read_sentence节点)"""
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try:
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root = ET.fromstring(xml_content)
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# 中文专用:仅查找read_sentence节点
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read_sentence = root.find('.//read_sentence')
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if read_sentence is not None:
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# 中文评分字段映射
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# 中文专用:查找read_chapter节点(原read_sentence)
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read_chapter = root.find('.//read_chapter')
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if read_chapter is not None:
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# 中文评分字段映射(修正节点名称和属性)
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self.evaluation_results = {
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'total_score': float(read_sentence.get('total_score', 0)),
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'accuracy_score': float(read_sentence.get('accuracy_score', 0)),
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'fluency_score': float(read_sentence.get('fluency_score', 0)),
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'integrity_score': float(read_sentence.get('integrity_score', 0)),
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'tone_score': float(read_sentence.get('tone_score', 0)), # 中文特有调型分
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'is_rejected': read_sentence.get('is_rejected', 'false') == 'true'
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'total_score': float(read_chapter.get('total_score', 0)),
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'accuracy_score': float(read_chapter.get('accuracy_score', 0)),
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'fluency_score': float(read_chapter.get('fluency_score', 0)),
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'integrity_score': float(read_chapter.get('integrity_score', 0)), # 修正字段名
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'tone_score': float(read_chapter.get('tone_score', 0)),
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'is_rejected': read_chapter.get('is_rejected', 'false') == 'true'
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}
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# 提取句子级得分(中文特有)
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# 提取句子级得分
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sentences = []
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for sent in read_sentence.findall('.//sentence'):
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for sent in read_chapter.findall('.//sentence'):
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sentences.append({
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'content': sent.get('content', ''),
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'total_score': float(sent.get('total_score', 0)),
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