Papers by Sabato Marco Siniscalchi
Speech Analysis of Language Varieties in Italy (2024.lrec-main)
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| Challenge: | Recent advances in self-supervised learning provide new opportunities to analyze Italy’s linguistic varieties using speech data alone. |
| Approach: | They propose to automatically identify the geographic region of origin of speech samples drawn from Italy's diverse language varieties. |
| Outcome: | The proposed model can identify regions from speech recording and improve classification accuracy and yields embeddings that distinctly separate regional varieties. |
MISP-Meeting: A Real-World Dataset with Multimodal Cues for Long-form Meeting Transcription and Summarization (2025.acl-long)
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| Challenge: | Existing systems that can recognize spoken content, extract key information, and produce concise summaries are lacking in meeting transcription and summarization. |
| Approach: | They propose a multimodal dataset that integrates information from speech, vision, and text modalities to facilitate automatic meeting transcription and summarization (AMTS). |
| Outcome: | The proposed dataset reduces the character error rate (CER) by 36.60% to 20.27% and improves speech recognition and large language models. |