And after ICASSP, Johan. Lukas, Alex, Martas and Santosh even made it to the local newspapers after their visit to the Ramappa Temple UNESCO heritage site!

A lot of interesting discussions happened during and after the presentations, and also during the amazing lunch at ITC Peshawar. We thank Meeami for hosting us.

Santosh presented the team's work on Aligning foundation models for (1) speech to text translation (2) dialogue state tracking from speech.

Alex presented the team's work on (1) Target speaker ASR with Whisper, (2) Robust ASR via internal language model regularisation, (3) Speech foundation models for European languages using open and legally accessible datasets.

Leveraging Self-Supervised Learning for Speaker Diarization, by Jiangyu Han et al. ieeexplore.ieee.org/stamp/stamp....
utilizes SSL models to alleviate the problem of data scarcity for neural speaker diarization.
Apr 9: 5:00 pm - 6:30 pm, Lecture, Room: MRG.04, Johan Rohdin

🔗 Competition details: www.nexdata.ai/competition/...
This work builds on DiCoW, our diarization-conditioned ASR model—learn more in our paper:
🔗 arxiv.org/abs/2501.00114
🖥️ Codebase available on GitHub:
🔗 github.com/BUTSpeechFIT...
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🔍 Why should you try it?
✅ Strong starting point for multilingual conversational ASR research
✅ Open for experimentation, adaptation, and fine-tuning
✅ Join us in pushing the boundaries of robust, multilingual speech recognition
🚀 Test and improve multilingual conversational ASR
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📊 Baseline WER (No Domain Adaptation Yet, Oracle diarization):
🇺🇸 English (American): 9.4%
🇮🇳 English (Indian): 15.1%
🇵🇭 English (Filipino): 11.3%
🇩🇪 German: 19.7%
🆕 Now supports transcription of multiple speakers speaking different languages! 🌍🗣️
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