Qiang Huang

Neural Networks, 2021

Improving Audio Anomalies Recognition Using Temporal Convolutional Attention Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

T-vectors: Weakly Supervised Speaker Identification Using Hierarchical Transformer Model.

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[DOI]

CoRR, 2020

Improving Audio Anomalies Recognition Using Temporal Convolutional Attention Network.

[BibT_eX]

[DOI]

CoRR, 2020

Robust Speaker Recognition Using Speech Enhancement And Attention Model.

[BibT_eX]

[DOI]

Proceedings of the Odyssey 2020: The Speaker and Language Recognition Workshop, 2020

Weakly Supervised Training of Hierarchical Attention Networks for Speaker Identification.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2020, 2020

Speaker Re-Identification with Speaker Dependent Speech Enhancement.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2020, 2020

Exploration of Audio Quality Assessment and Anomaly Localisation Using Attention Models.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2020, 2020

H-Vectors: Utterance-Level Speaker Embedding Using a Hierarchical Attention Model.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Contextual Joint Factor Acoustic Embeddings.

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[DOI]

CoRR, 2019

Improving Robustness In Speaker Identification Using A Two-Stage Attention Model.

[BibT_eX]

[DOI]

CoRR, 2019

Detecting Mismatch Between Speech and Transcription Using Cross-Modal Attention.

[BibT_eX]

[DOI]