研究者
J-GLOBAL ID:200901079554367430   更新日: 2022年09月28日

梁 衍学

リヤン ヤンイエン | Liang Yanxue
研究キーワード (6件): the result is arbitrary filtered version of sources which dramatically decrease the performance of ASR. How to eliminate the artificial filtering effect while separating sources is my research task. ,  it is difficult to get pure speech signal when interference or reflection exist. BSS is a technique to recover the sources from mixtures without any prior information. When applied BSS to speech case ,  Pure speech signal is important for Automatic Speech Recognition (ASR) system. But in daily life ,  the result is arbitrary filtered version of sources which dramatically decrease the performance of ASR. How to eliminate the artificial filtering effect while separating sources is my research task. ,  it is difficult to get pure speech signal when interference or reflection exist. BSS is a technique to recover the sources from mixtures without any prior information. When applied BSS to speech case ,  Pure speech signal is important for Automatic Speech Recognition (ASR) system. But in daily life
競争的資金等の研究課題 (2件):
  • 2004 - 2007 Blind Source Separation based speech enhancenment
  • 2004 - 2007 Blind Source Separation based speech enhancenment
学位 (1件):
  • 修士 (上海交通大学)
経歴 (1件):
  • 東京工業大学 理工学研究科 機械物理工学専攻 理工学研究科(博士課程) 機械物理工学専攻 大学院学生(博士課程)
所属学会 (2件):
日本音響学会 ,  The Acoustic Society of Japan
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