Echo: A crowd-sourced Romanian speech dataset.
Romanian is the seventh most popular European language, with around 30 million speakers worldwide. Despite its popularity, the available speech resources are limited. As a result, there are few models that transcribe Romanian well, most of them being multilingual models that also cover less popular languages. Echo is a crowd-sourcing platform that has collected more than 300 hours of speech from various contributors. In this study, we document how a large speech dataset enables researchers to train automatic speech recognition, speaker verification, and diarization models to automatically process students’ notes. We publicly release both the dataset and the Whisper-based baseline model as open-source.
Authors
- Remus-Dan Ungureanu
- Mihai Dascălu (ORCID: https://orcid.org/0000-0002-4815-9227)
Publication Details
- Journal
- Interaction design & architecture(s)/ID&A Interaction design & architecture(s)
- Published
- 2024-11-30
- DOI
- https://doi.org/10.55612/s-5002-062-009
- Citations
- 1
- Primary Topic
- Speech Recognition and Synthesis
- Type
- article
- Field-Weighted Citation Impact
- 0.35