Joint Time-Domain and Frequency-Domain Progressive Learning for Single-Channel Speech Enhancement and Recognition

Gongzhen Zou; Jun Du; Shutong Niu; Hang Chen; Yuling Ren; Qinglong Li; Ruibo Liu; Chin‐Hui Lee

doi:10.1007/978-981-97-0601-3_4

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Joint Time-Domain and Frequency-Domain Progressive Learning for Single-Channel Speech Enhancement and Recognition

Gongzhen Zou Jun Du Shutong Niu Hang Chen Yuling Ren Qinglong Li Ruibo Liu Chin‐Hui Lee

Year: 2024 Communications in computer and information science Pages: 37-52 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-97-0601-3_4

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Keywords:

Computer science Speech recognition Joint (building) PESQ Set (abstract data type) Focus (optics) Frequency domain Time domain Test set Domain (mathematical analysis) Artificial intelligence Channel (broadcasting) Speech enhancement Pattern recognition (psychology) Noise reduction Telecommunications Computer vision Engineering Mathematics

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Speech and Audio Processing

Physical Sciences → Computer Science → Signal Processing

Speech Recognition and Synthesis

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Adaptive Filtering Techniques

Physical Sciences → Engineering → Computational Mechanics

Joint Time-Domain and Frequency-Domain Progressive Learning for Single-Channel Speech Enhancement and Recognition

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