124 citations · 127 across the 15 of their papers we have counts for
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Loud and Clear: Dynamic Activation Steering for Improving Speech Intelligibility in Noisy Environments
Seymanur Akti, Alexander Waibel
Speech becomes less intelligible in noisy environments, and humans naturally adapt their voice to compensate. Inspired by this behavior, we investigate whether a text-to-speech (TT…
Synthesizing the Lombard Effect: Multi-Level Control of Speech Clarity and Vocal Effort in TTS
Seymanur Akti, Alexander Waibel
Humans tend to speak louder and clearer in challenging environments, such as noisy conditions or when addressing hearingimpaired listeners, which is called Lombard effect. To simul…
KIT's Submission to Cross-Lingual Voice Cloning in IWSLT 2026
Seymanur Akti, Alexander Waibel
Cross-lingual voice cloning aims to generate speech in a target language while preserving speaker identity from a source-language reference. This task is central to speech translat…
Multilingual Long-Form Speech Instruction Following: KIT's Submission to IWSLT 2026
Enes Yavuz Ugan, Maike Züfle, Yuka Ko +5
With the advent of Large Language Models, single-task and token-based multi-task models have evolved into instruction-based systems that infer task and target language implicitly f…
Zero-Shot Lombard Speech Synthesis with Controllable Style Embeddings
Seymanur Akti, Alexander Waibel
The Lombard effect plays a key role in natural communication, particularly in noisy environments or when addressing hearing-impaired listeners. We present a controllable text-to-sp…