Lin Liu

Affiliations:
  • iFLYTEK Co. Ltd, iFLYTEK Research, Hefei, China


According to our database1, Lin Liu authored at least 11 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
AST-SED: An Effective Sound Event Detection Method Based on Audio Spectrogram Transformer.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Class-Aware Distribution Alignment based Unsupervised Domain Adaptation for Speaker Verification.
Proceedings of the Interspeech 2022, 2022

Frontend Attributes Disentanglement for Speech Emotion Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2022

Domain Robust Deep Embedding Learning for Speaker Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2022

Self-Supervised Representation Learning for Unsupervised Anomalous Sound Detection Under Domain Shift.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
An Effective Mutual Mean Teaching Based Domain Adaptation Method for Sound Event Detection.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

A Weight Moving Average Based Alternate Decoupled Learning Algorithm for Long-Tailed Language Identification.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

An Improved Mean Teacher Based Method for Large Scale Weakly Labeled Semi-Supervised Sound Event Detection.
Proceedings of the IEEE International Conference on Acoustics, 2021

An Effective Deep Embedding Learning Method Based on Dense-Residual Networks for Speaker Verification.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
An Effective Perturbation Based Semi-Supervised Learning Method for Sound Event Detection.
Proceedings of the Interspeech 2020, 2020

An Effective Speaker Recognition Method Based on Joint Identification and Verification Supervisions.
Proceedings of the Interspeech 2020, 2020


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