Scholar
Éva Székely
Google Scholar ID: 5thOtuwAAAAJ
Assistant Professor, KTH Royal Institute of Technology
speech technology
speech synthesis
deep learning
generative modelling
bias detection
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Citations & Impact
All-time
Citations
1,065
H-index
17
i10-index
25
Publications
20
Co-authors
14
list available
Publications
13 items
Distributional Metrics for Evaluating Spoken Conversational Systems
2026
Cited
0
Is Natural Always Appropriate? Investigating Naturalness and Appropriateness Across Different Domains for TTS Evaluation
2026
Cited
0
The Voice Behind the Words: Quantifying Intersectional Bias in SpeechLLMs
2026
Cited
0
What Counts as Real? Speech Restoration and Voice Quality Conversion Pose New Challenges to Deepfake Detection
2026
Cited
0
Lost in Phonation: Voice Quality Variation as an Evaluation Dimension for Speech Foundation Models
2025
Cited
0
When Voice Matters: Evidence of Gender Disparity in Positional Bias of SpeechLLMs
2025
Cited
0
Speak Your Mind: The Speech Continuation Task as a Probe of Voice-Based Model Bias
2025
Cited
0
Do Bias Benchmarks Generalise? Evidence from Voice-based Evaluation of Gender Bias in SpeechLLMs
2025
Cited
0
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Co-authors
9 total
Gustav Eje Henter
KTH Royal Institute of Technology, Stockholm, Sweden
Jonas Beskow
Professor, KTH Speech, Music and Hearing
Shivam Mehta
Research Scientist Netflix - PhD @ KTH Royal Institute of Technology & WASP AI
Siyang Wang
PhD Student, KTH Royal Institute of Technology
Zeeshan Ahmed
Research Scientist, Meta Inc.
Jens Edlund
KTH Speech, Music and Hearing/Språkbanken Tal
Petra Wagner
Bielefeld University
Simon Alexanderson
KTH Royal Institute of Technology
