Brecht Desplanques

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Conference Paper
P1
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SoftVAD in iVector-based acoustic scene classification for robustness to foreground speech

Siyuan Song (UGent) , Brecht Desplanques (UGent) , Kris Demuynck (UGent) and Nilesh Madhu (UGent)

(2022) 2022 30th European Signal Processing Conference (EUSIPCO). In European Signal Processing Conference p.404-408

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P1
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Tackling the score shift in cross-lingual speaker verification by exploiting language information

Jenthe Thienpondt (UGent) , Brecht Desplanques (UGent) and Kris Demuynck (UGent)

(2022) 2022 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP). In International Conference on Acoustics Speech and Signal Processing ICASSP p.7187-7191

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Conference Paper
C3
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Foreground speech robustness for audio scene classification

Siyuan Song (UGent) , Brecht Desplanques and Nilesh Madhu (UGent)

(2021) 2022 Speech in Noise Workshop, Abstracts. p.39-39

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Robust acoustic scene classification in the presence of active foreground speech

Siyuan Song (UGent) , Brecht Desplanques, Celest De Moor, Kris Demuynck (UGent) and Nilesh Madhu (UGent)

(2021) 2021 29th European Signal Processing Conference (EUSIPCO). In European Signal Processing Conference p.995-999

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ECAPA-TDNN embeddings for speaker diarization

Nauman Dawalatabad, Mirco Ravanelli, François Grondin, Jenthe Thienpondt (UGent) , Brecht Desplanques (UGent) and Hwidong Na

(2021) INTERSPEECH 2021. In Interspeech p.3560-3564

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Integrating frequency translational invariance in TDNNs and frequency positional information in 2D ResNets to enhance speaker verification

Jenthe Thienpondt (UGent) , Brecht Desplanques (UGent) and Kris Demuynck (UGent)

(2021) INTERSPEECH 2021. In Interspeech p.2302-2306

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The Idlab voxsrc-20 submission : large margin fine-tuning and quality-aware score calibration in DNN based speaker verification

Jenthe Thienpondt (UGent) , Brecht Desplanques (UGent) and Kris Demuynck (UGent)

(2021) ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing p.5814-5818

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ECAPA-TDNN : Emphasized Channel Attention, Propagation and Aggregation in TDNN based speaker verification

Brecht Desplanques (UGent) , Jenthe Thienpondt (UGent) and Kris Demuynck (UGent)

(2020) INTERSPEECH 2020. In Interspeech p.3830-3834

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Cross-lingual speaker verification with domain-balanced hard prototype mining and language-dependent score normalization

Jenthe Thienpondt (UGent) , Brecht Desplanques (UGent) and Kris Demuynck (UGent)

(2020) INTERSPEECH 2020. In Interspeech p.756-760

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Cross-lingual speech emotion recognition through factor analysis

Brecht Desplanques (UGent) and Kris Demuynck (UGent)

(2018) 19TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2018), VOLS 1-6: SPEECH RESEARCH FOR EMERGING MARKETS IN MULTILINGUAL SOCIETIES. In Interspeech p.3648-3652

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Journal Article
A1
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Adaptive speaker diarization of broadcast news based on factor analysis

Brecht Desplanques (UGent) , Kris Demuynck (UGent) and Jean-Pierre Martens (UGent)

(2017) COMPUTER SPEECH AND LANGUAGE. 46. p.72-93

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Conference Paper
C1
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Soft VAD in factor analysis based speaker segmentation of broadcast news

Brecht Desplanques (UGent) , Kris Demuynck (UGent) and Jean-Pierre Martens (UGent)

(2016) p.158-165

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P1
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STON efficient subtitling in Dutch using state-of-the-art tools

Lyan Verwimp, Brecht Desplanques, Kris Demuynck (UGent) , Joris Pelemans, Mariek Lycke and Patrick Wambacq

(2016) 17TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2016), VOLS 1-5: UNDERSTANDING SPEECH PROCESSING IN HUMANS AND MACHINES. In Interspeech p.780-781

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Factor analysis for speaker segmentation and improved speaker diarization

Brecht Desplanques, Kris Demuynck (UGent) and Jean-Pierre Martens (UGent)

(2015) 16th Annual conference of the International Speech Communication Association (INTERSPEECH 2015), vols 1-5. p.3081-3085

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Conference Paper
C1
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Robust language recognition via adaptive language factor extraction

Brecht Desplanques, Kris Demuynck (UGent) and Jean-Pierre Martens (UGent)

(2014) 15th Annual Conference of the International Speech Communication Association, Proceedings. p.2160-2164

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Conference Paper
C1
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Combining joint factor analysis and iVectors for robust language recognition

Brecht Desplanques, Kris Demuynck (UGent) and Jean-Pierre Martens (UGent)

(2014) Odyssey 2014 : The Speaker and Language Recognition Workshop, Proceedings. p.73-80

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Model-based speech/non-speech segmentation of a heterogeneous multilingual TV broadcast collection

Brecht Desplanques and Jean-Pierre Martens (UGent)

(2013) International Symposium on Intelligent Signal Processing and Communication Systems ISPACS. p.55-60

Academic Bibliography

Brecht Desplanques

SoftVAD in iVector-based acoustic scene classification for robustness to foreground speech

Tackling the score shift in cross-lingual speaker verification by exploiting language information

Foreground speech robustness for audio scene classification

Robust acoustic scene classification in the presence of active foreground speech

ECAPA-TDNN embeddings for speaker diarization

Integrating frequency translational invariance in TDNNs and frequency positional information in 2D ResNets to enhance speaker verification

The Idlab voxsrc-20 submission : large margin fine-tuning and quality-aware score calibration in DNN based speaker verification

ECAPA-TDNN : Emphasized Channel Attention, Propagation and Aggregation in TDNN based speaker verification

Cross-lingual speaker verification with domain-balanced hard prototype mining and language-dependent score normalization

Cross-lingual speech emotion recognition through factor analysis

Adaptive speaker diarization of broadcast news based on factor analysis

Soft VAD in factor analysis based speaker segmentation of broadcast news

STON efficient subtitling in Dutch using state-of-the-art tools

Factor analysis for speaker segmentation and improved speaker diarization

Robust language recognition via adaptive language factor extraction

Combining joint factor analysis and iVectors for robust language recognition

Model-based speech/non-speech segmentation of a heterogeneous multilingual TV broadcast collection

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