( en | de | ru )

 

Disambiguation of "Li, Shengqiang"

Author of the publication

copydeleteadd this publication to your clipboard
Multi-class AUC Optimization for Robust Small-footprint Keyword Spotting with Limited Training Data.

, , , and . INTERSPEECH, page 3278-3282. ISCA, (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Shengqiang Li

Shengqiang Zhou

Shengqiang Guo

Shengqiang Zhang

Shengqiang Zhou

 

Other publications of authors with the same name

Multi-Resolution Convolutional Residual Neural Networks for Monaural Speech Dereverberation., , , , , and . IEEE ACM Trans. Audio Speech Lang. Process., (2024)Conformer-based End-to-end Speech Recognition With Rotary Position Embedding., , and . APSIPA ASC, page 443-447. IEEE, (2021)Cryptanalysis and Improvement of a Biometrics-based Multi-server Authentication Protocol., and . ICNC, page 16-20. IEEE Computer Society, (2018)A hybrid method of blockchain and case-based reasoning for remanufacturing process planning., , , and . J. Intell. Manuf., 32 (5): 1389-1399 (2021)Efficient conformer-based speech recognition with linear attention., , and . APSIPA ASC, page 448-453. IEEE, (2021)Libri-adhoc40: A dataset collected from synchronized ad-hoc microphone arrays., , , , , , , , , and 2 other author(s). APSIPA ASC, page 1116-1120. IEEE, (2021)Fast-U2++: Fast and Accurate End-to-End Speech Recognition in Joint CTC/Attention Frames., , , , , , , and . ICASSP, page 1-5. IEEE, (2023)Transformer-Based End-to-End Speech Recognition with Local Dense Synthesizer Attention., , and . ICASSP, page 5899-5903. IEEE, (2021)Construction of Pseudo-random Binary Sequences from Elliptic Curves by Using Discrete Logarithm., , and . SETA, volume 4086 of Lecture Notes in Computer Science, page 285-294. Springer, (2006)Multi-class AUC Optimization for Robust Small-footprint Keyword Spotting with Limited Training Data., , , and . INTERSPEECH, page 3278-3282. ISCA, (2022)