Éva Székely
Scholar

Éva Székely

Google Scholar ID: 5thOtuwAAAAJ
Assistant Professor, KTH Royal Institute of Technology
speech technologyspeech synthesisdeep learninggenerative modellingbias 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
Contact
No contact links provided.
Publications
10 items
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
Who Gets the Mic? Investigating Gender Bias in the Speaker Assignment of a Speech-LLM
2025
Cited
0
Improved Dysarthric Speech to Text Conversion via TTS Personalization
2025
Cited
0
Resume (English only)
Co-authors
14 total
Co-author 1
Co-author 1
Gustav Eje Henter
Gustav Eje Henter
KTH Royal Institute of Technology, Stockholm, Sweden
Jonas Beskow
Jonas Beskow
Professor, KTH Speech, Music and Hearing
Shivam Mehta
Shivam Mehta
Research Scientist Netflix - PhD @ KTH Royal Institute of Technology & WASP AI
Siyang Wang
Siyang Wang
PhD Student, KTH Royal Institute of Technology
Co-author 6
Co-author 6
Zeeshan Ahmed
Zeeshan Ahmed
Research Scientist, Meta Inc.
Co-author 8
Co-author 8