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 pop...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
ASLERD
2024-11-01
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| Series: | Interaction Design and Architecture(s) |
| Online Access: | https://ixdea.org/62_9/ |
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| Summary: | 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. |
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| ISSN: | 2283-2998 |