中文标题#
一個具有通用和個性化分類的中文心力衰竭狀態語音數據庫
英文标题#
A Chinese Heart Failure Status Speech Database with Universal and Personalised Classification
中文摘要#
語音是一種經濟且無侵入性的數據源，可用於識別急性和慢性心力衰竭（HF）。 然而，關於中文音節是否包含與 HF 相關的信息，目前研究較少，這與其他研究較多的語言中觀察到的情況不同。 本研究提出了第一個針對 HF 患者的中文語音數據庫，包含住院前後配對的錄音。 研究結果證實了在使用標準的 “患者級” 和個性化的 “配對級” 分類方法時，中文語言在 HF 檢測中的有效性，後者可作為未來研究的理想說話人解耦基線。 統計測試和分類結果強調了個體差異是導致不準確的主要因素。 此外，提出了一種自適應頻率濾波器（AFF）用於頻率重要性分析。 數據和演示文稿已發布在https://github.com/panyue1998/Voice_HF。
英文摘要#
Speech is a cost-effective and non-intrusive data source for identifying acute and chronic heart failure (HF). However, there is a lack of research on whether Chinese syllables contain HF-related information, as observed in other well-studied languages. This study presents the first Chinese speech database of HF patients, featuring paired recordings taken before and after hospitalisation. The findings confirm the effectiveness of the Chinese language in HF detection using both standard 'patient-wise' and personalised 'pair-wise' classification approaches, with the latter serving as an ideal speaker-decoupled baseline for future research. Statistical tests and classification results highlight individual differences as key contributors to inaccuracy. Additionally, an adaptive frequency filter (AFF) is proposed for frequency importance analysis. The data and demonstrations are published at https://github.com/panyue1998/Voice_HF.
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