Papers by Thomas Reitmaier
Spoken Document Retrieval for an Unwritten Language: A Case Study on Gormati (2025.findings-emnlp)
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Sanjay Booshanam, Kelly Chen, Ondrej Klejch, Thomas Reitmaier, Dani Kalarikalayil Raju, Electra Wallington, Nina Markl, Jennifer Pearson, Matt Jones, Simon Robinson, Peter Bell
| Challenge: | Speakers of unwritten languages have the potential to benefit from speech-based automatic information retrieval systems. |
| Approach: | They propose a speech embedding technique that facilitates a zero-shot speech-based automatic information retrieval system for unwritten languages. |
| Outcome: | The proposed method achieves a Top 5 retrieval rate of 87.9% on a corpus of Gormati, an unwritten language, that was collected in partnership with an agrarian Banjara community in Maharashtra State, India. |