4 citations · 8 across the 9 of their papers we have counts for
10 papers
Phonetically Explainable Speech Deepfake Detection
Manasi Chhibber, Jagabandhu Mishra, Tomi H. Kinnunen
Speech deepfake detection is predominantly treated as an opaque classification task where all temporal frames are aggregated equally. This ignores that different phonetic categorie…
Kinship Verification Using Voice
Jagabandhu Mishra, Tomi H. Kinnunen
Kinship verification (KV) from voice, the task of determining whether two speakers are biologically related, has received only little attention. Our work establishes a foundational…
Joint Optimization of ASV and CM tasks: BTUEF Team's Submission for WildSpoof Challenge
Oguzhan Kurnaz, Jagabandhu Mishra, Tomi Kinnunen +1
Spoofing-aware speaker verification (SASV) jointly addresses automatic speaker verification and spoofing countermeasures to improve robustness against adversarial attacks. In this…
Joint Optimization of Speaker and Spoof Detectors for Spoofing-Robust Automatic Speaker Verification
Oğuzhan Kurnaz, Jagabandhu Mishra, Tomi H. Kinnunen +1
Spoofing-robust speaker verification (SASV) combines the tasks of speaker and spoof detection to authenticate speakers under adversarial settings. Many SASV systems rely on fusion…
Advancing Zero-Shot Open-Set Speech Deepfake Source Tracing
Manasi Chhibber, Jagabandhu Mishra, Tomi H. Kinnunen
We propose a novel zero-shot source tracing framework inspired by speaker verification. We adapt SSL-AASIST for attack classification, enhancing embeddings with AAM loss and RegMix…
Towards Explainable Spoofed Speech Attribution and Detection:a Probabilistic Approach for Characterizing Speech Synthesizer Components
Jagabandhu Mishra, Manasi Chhibber, Hye-jin Shim +1
We propose an explainable probabilistic framework for characterizing spoofed speech by decomposing it into probabilistic attribute embeddings. Unlike raw high-dimensional counterme…
An Explainable Probabilistic Attribute Embedding Approach for Spoofed Speech Characterization
Manasi Chhibber, Jagabandhu Mishra, Hyejin Shim +1
We propose a novel approach for spoofed speech characterization through explainable probabilistic attribute embeddings. In contrast to high-dimensional raw embeddings extracted fro…
Spoofing-Robust Speaker Verification Using Parallel Embedding Fusion: BTU Speech Group's Approach for ASVspoof5 Challenge
Oğuzhan Kurnaz, Selim Can Demirtaş, Aykut Büker +2
This paper introduces the parallel network-based spoofing-aware speaker verification (SASV) system developed by BTU Speech Group for the ASVspoof5 Challenge. The SASV system integr…
Optimizing a-DCF for Spoofing-Robust Speaker Verification
Oğuzhan Kurnaz, Jagabandhu Mishra, Tomi H. Kinnunen +1
Automatic speaker verification (ASV) systems are vulnerable to spoofing attacks. We propose a spoofing-robust ASV system optimized directly for the recently introduced architecture…
Implicit Self-supervised Language Representation for Spoken Language Diarization
Jagabandhu Mishra, S. R. Mahadeva Prasanna
In a code-switched (CS) scenario, the use of spoken language diarization (LD) as a pre-possessing system is essential. Further, the use of implicit frameworks is preferable over th…