1.5k citations · 1.8k across the 13 of their papers we have counts for
14 papers
Weakly Supervised Phonological Features for Pathological Speech Analysis
Jenthe Thienpondt, Geoffroy Vanderreydt, Abdessalem Hammami +1
Paralinguistic properties of speech are essential in analyzing and choosing optimal treatment options for patients with speech disorders. However, automatic modeling of these chara…
Speaker Embeddings With Weakly Supervised Voice Activity Detection For Efficient Speaker Diarization
Jenthe Thienpondt, Kris Demuynck
Current speaker diarization systems rely on an external voice activity detection model prior to speaker embedding extraction on the detected speech segments. In this paper, we esta…
ECAPA2: A Hybrid Neural Network Architecture and Training Strategy for Robust Speaker Embeddings
Jenthe Thienpondt, Kris Demuynck
In this paper, we present ECAPA2, a novel hybrid neural network architecture and training strategy to produce robust speaker embeddings. Most speaker verification models are based…
Behavioral Analysis of Pathological Speaker Embeddings of Patients During Oncological Treatment of Oral Cancer
Jenthe Thienpondt, Caroline M. Speksnijder, Kris Demuynck
In this paper, we analyze the behavior of speaker embeddings of patients during oral cancer treatment. First, we found that pre- and post-treatment speaker embeddings differ signif…
Margin-Mixup: A Method for Robust Speaker Verification in Multi-Speaker Audio
Jenthe Thienpondt, Nilesh Madhu, Kris Demuynck
This paper is concerned with the task of speaker verification on audio with multiple overlapping speakers. Most speaker verification systems are designed with the assumption of a s…
Transfer Learning for Robust Low-Resource Children's Speech ASR with Transformers and Source-Filter Warping
Jenthe Thienpondt, Kris Demuynck
Automatic Speech Recognition (ASR) systems are known to exhibit difficulties when transcribing children's speech. This can mainly be attributed to the absence of large children's s…
Tackling the Score Shift in Cross-Lingual Speaker Verification by Exploiting Language Information
Jenthe Thienpondt, Brecht Desplanques, Kris Demuynck
This paper contains a post-challenge performance analysis on cross-lingual speaker verification of the IDLab submission to the VoxCeleb Speaker Recognition Challenge 2021 (VoxSRC-2…
The IDLAB VoxCeleb Speaker Recognition Challenge 2021 System Description
Jenthe Thienpondt, Brecht Desplanques, Kris Demuynck
This technical report describes the IDLab submission for track 1 and 2 of the VoxCeleb Speaker Recognition Challenge 2021 (VoxSRC-21). This speaker verification competition focuses…
ECAPA-TDNN Embeddings for Speaker Diarization
Nauman Dawalatabad, Mirco Ravanelli, François Grondin +3
Learning robust speaker embeddings is a crucial step in speaker diarization. Deep neural networks can accurately capture speaker discriminative characteristics and popular deep emb…
Integrating Frequency Translational Invariance in TDNNs and Frequency Positional Information in 2D ResNets to Enhance Speaker Verification
Jenthe Thienpondt, Brecht Desplanques, Kris Demuynck
This paper describes the IDLab submission for the text-independent task of the Short-duration Speaker Verification Challenge 2021 (SdSVC-21). This speaker verification competition…
The IDLAB VoxCeleb Speaker Recognition Challenge 2020 System Description
Jenthe Thienpondt, Brecht Desplanques, Kris Demuynck
In this technical report we describe the IDLAB top-scoring submissions for the VoxCeleb Speaker Recognition Challenge 2020 (VoxSRC-20) in the supervised and unsupervised speaker ve…
The IDLAB VoxSRC-20 Submission: Large Margin Fine-Tuning and Quality-Aware Score Calibration in DNN Based Speaker Verification
Jenthe Thienpondt, Brecht Desplanques, Kris Demuynck
In this paper we propose and analyse a large margin fine-tuning strategy and a quality-aware score calibration in text-independent speaker verification. Large margin fine-tuning is…
Cross-Lingual Speaker Verification with Domain-Balanced Hard Prototype Mining and Language-Dependent Score Normalization
Jenthe Thienpondt, Brecht Desplanques, Kris Demuynck
In this paper we describe the top-scoring IDLab submission for the text-independent task of the Short-duration Speaker Verification (SdSV) Challenge 2020. The main difficulty of th…
ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification
Brecht Desplanques, Jenthe Thienpondt, Kris Demuynck
Current speaker verification techniques rely on a neural network to extract speaker representations. The successful x-vector architecture is a Time Delay Neural Network (TDNN) that…