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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…
Simultaneously Learning Robust Audio Embeddings and balanced Hash codes for Query-by-Example
Anup Singh, Kris Demuynck, Vipul Arora
Audio fingerprinting systems must efficiently and robustly identify query snippets in an extensive database. To this end, state-of-the-art systems use deep learning to generate com…
Attention-Based Audio Embeddings for Query-by-Example
Anup Singh, Kris Demuynck, Vipul Arora
An ideal audio retrieval system efficiently and robustly recognizes a short query snippet from an extensive database. However, the performance of well-known audio fingerprinting sy…
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…
Robust Acoustic Scene Classification in the Presence of Active Foreground Speech
Siyuan Song, Brecht Desplanques, Celest De Moor +2
We present an iVector based Acoustic Scene Classification (ASC) system suited for real life settings where active foreground speech can be present. In the proposed system, each rec…
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…
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…