mlsanityData to 19 Oct 2026

Team HYU ASML ROBOVOX SP Cup 2024 System Description

arXiv 2407.11365 ↗First posted 16 Jul 2024eess.AScited by 1

On the map: Speech and audio language models → Speaker recognition and diarization

Abstract (arXiv)

This report describes the submission of HYU ASML team to the IEEE Signal Processing Cup 2024 (SP Cup 2024). This challenge, titled "ROBOVOX: Far-Field Speaker Recognition by a Mobile Robot," focuses on speaker recognition using a mobile robot in noisy and reverberant conditions. Our solution combines the result of deep residual neural networks and time-delay neural network-based speaker embedding models. These models were trained on a diverse dataset that includes French speech. To account for the challenging evaluation environment characterized by high noise, reverberation, and short speech conditions, we focused on data augmentation and training speech duration for the speaker embedding model. Our submission achieved second place on the SP Cup 2024 public leaderboard, with a detection cost function of 0.5245 and an equal error rate of 6.46%.

Key facts. Cited by 1 paper in the map (data through 19 Oct 2026). Placed in Speaker recognition and diarization, one of 11 directions in Speech and audio language models. Builds on 26 of its 38 references that are in the map. First posted on arXiv 16 Jul 2024.

Builds on

26 of 38 references.

Closest ancestors · 8

Same direction, newest first

  1. 2023The ID R&D VoxCeleb Speaker Recognition Challenge 2023 System Description16 Aug
  2. 2022The SpeakIn Speaker Verification System for Far-Field Speaker Verification Challenge 202223 Sep
  3. 2022The Kriston AI System for the VoxCeleb Speaker Recognition Challenge 202223 Sep
  4. 2022Non-Contrastive Self-Supervised Learning of Utterance-Level Speech Representations10 Aug
  5. 2022Self-Supervised Speaker Verification Using Dynamic Loss-Gate and Label Correction3 Aug
  6. 2022MFA-Conformer: Multi-scale Feature Aggregation Conformer for Automatic Speaker Verification29 Mar
  7. 2021Multi-query multi-head attention pooling and Inter-topK penalty for speaker verification11 Oct
  8. 2021RSKNet-MTSP: Effective and Portable Deep Architecture for Speaker Verification30 Aug

Other references · 18

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,456
  2. 2014Adam: A Method for Stochastic Optimizationcited by 38,210
  3. 2019SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognitioncited by 1,636
  4. 2018VoxCeleb2: Deep Speaker Recognitioncited by 1,166
  5. 2017VoxCeleb: a large-scale speaker identification datasetcited by 985
  6. 2020ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verificationcited by 980
  7. 2015MUSAN: A Music, Speech, and Noise Corpuscited by 694
  8. 2020MLS: A Large-Scale Multilingual Dataset for Speech Researchcited by 589
  9. 2021SpeechBrain: A General-Purpose Speech Toolkitcited by 532
  10. 2019pyannote.audio: neural building blocks for speaker diarizationcited by 217
  11. 2019CN-CELEB: a challenging Chinese speaker recognition datasetcited by 123
  12. 2021The Multilingual TEDx Corpus for Speech Recognition and Translationcited by 106
6 more
  1. 2020The IDLAB VoxSRC-20 Submission: Large Margin Fine-Tuning and Quality-Aware Score Calibration in DNN Based Speaker Verificationcited by 69
  2. 2018ArcFace: Additive Angular Margin Loss for Deep Face Recognitioncited by 62
  3. 2019A Multi Purpose and Large Scale Speech Corpus in Persian and English for Speaker and Speech Recognition: the DeepMine Databasecited by 18
  4. 2018A Novel Learnable Dictionary Encoding Layer for End-to-End Language Identificationcited by 11
  5. 2021VACE-WPE: Virtual Acoustic Channel Expansion Based On Neural Networks for Weighted Prediction Error-Based Speech Dereverberationcited by 1
  6. 2021Task-specific Optimization of Virtual Channel Linear Prediction-based Speech Dereverberation Front-End for Far-Field Speaker Verificationcited by 1

Built on by

Cited by year

Citing papers per year: 2025: 1.

1 paper.

  1. 2025Trainable Adaptive Score Normalization for Automatic Speaker Verificationcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2024oboVox Far Field Speaker Recognition: A Novel Data Augmentation Approach with Pretrained Models
  2. 2023Hybrid ASR for Resource-Constrained Robots: HMM - Deep Learning Fusion
  3. 2025Analysis of ABC Frontend Audio Systems for the NIST-SRE24
  4. 2023The DKU-MSXF Speaker Verification System for the VoxCeleb Speaker Recognition Challenge 2023
  5. 2025CL-UZH submission to the NIST SRE 2024 Speaker Recognition Evaluation
  6. 2021The HCCL Speaker Verification System for Far-Field Speaker Verification Challenge
  7. 2022SpeechNet: Weakly Supervised, End-to-End Speech Recognition at Industrial Scale
  8. 2026Casting Everything to Online API Services? A Survey of Integrating Localized Speech Recognition Models in Robotic Systems