Brazilian Portuguese-Russian (BraPoRus) corpus: automatic transcription and acoustic quality of elderly speech during the COVID-19 pandemic-Reference-Cited by-同舟云学术

Brazilian Portuguese-Russian (BraPoRus) corpus: automatic transcription and acoustic quality of elderly speech during the COVID-19 pandemic

Published:2023-05-23 Issue:s4 Volume:9 Page:375-388
ISSN:2199-174X
Container-title:Linguistics Vanguard
language:en
Short-container-title:

Author:

Sekerina Irina A.¹^ORCID,Smirnova Henriques Anna²^ORCID,Skorobogatova Aleksandra S.³^ORCID,Tyulina Natalia⁴^ORCID,Kachkovskaia Tatiana V.⁵^ORCID,Ruseishvili Svetlana⁶^ORCID,Madureira Sandra²^ORCID

Affiliation:

1. Department of Psychology , College of Staten Island , Staten Island , NY , USA

2. Laboratório Integrado de Análise Acústica e Cognição/LIAAC, Programa de Estudos Pós-Graduados/PEPG em Linguística Aplicada e Estudos da Linguagem/LAEL , Pontifícia Universidade Católica de São Paulo , São Paulo , SP , Brazil

3. Faculdade de Filosofia, Letras e Ciências Humanas (FFLCH) , Universidade de São Paulo , São Paulo , SP , Brazil

4. Ph.D. Program in Linguistics , City University of New York The Graduate Center , New York , NY , USA

5. Department of Phonetics , Saint Petersburg State University Faculty of Philology , Sankt-Peterburg , Russian Federation

6. Departamento de Sociologia , Universidade Federal de São Carlos , Sao Carlos , SP , Brazil

Abstract

Abstract This article presents the Brazilian Portuguese-Russian (BraPoRus) corpus, whose goal is to collect, analyze, and preserve for posterity the spoken heritage Russian still used today in Brazil by approximately 1,500 elderly bilingual heritage Russian–Brazilian Portuguese speakers. Their unique 100-year-old variety of moribund Russian is disappearing because it has not been passed to their descendants born in Brazil. During the COVID-19 pandemic, we remotely collected 170 h of speech samples in heritage Russian from 26 participants (M age = 75.7 years) in naturalistic settings using Zoom or a phone call. To estimate the quality of collected data, we focus on two methodological challenges, automatic transcription and acoustic quality of remote recordings. First, we find that among commercially available transcription programs, Sonix far outperforms Google Transcribe and Vocalmatic on the measure of word error rate (WER). Second, we also establish that the acoustic quality of the remote recordings was adequate for intonational and speech rate analysis. Moreover, this remote method of collecting and analyzing speech samples works successfully with elderly bilingual participants who speak a heritage language different from their dominant societal language, and it can become a new norm when face-to-face communication with elderly participants is not possible.

Publisher

Walter de Gruyter GmbH

Subject

Linguistics and Language,Language and Linguistics

Link

https://www.degruyter.com/document/doi/10.1515/lingvan-2021-0149/pdf

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