Work

Echo: A crowd-sourced Romanian speech dataset.

Year: 2024

Type: article

Abstract: 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.

Source: Interaction design & architecture(s)/ID&A Interaction design & architecture(s)

DOI: 10.55612/s-5002-062-009

Authors: Remus-Dan Ungureanu, Mihai Dascalu

Language: English

Topic: Speech Recognition and Synthesis

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4406834043

FWCI: 0.304

Cites: 7

Cited by: 2

Related to: 10