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20222026
most citedText-To-Speech Data Augmentation for Low Resource Speech Recognition

4 citations · 8 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.CL2025

Optimizing ASR for Catalan-Spanish Code-Switching: A Comparative Analysis of Methodologies

Carlos Mena, Pol Serra, Jacobo Romero +6

Code-switching (CS), the alternating use of two or more languages, challenges automatic speech recognition (ASR) due to scarce training data and linguistic similarities. The lack o…

cs.CL2023★ 1 cited

Evaluating Self-Supervised Speech Representations for Indigenous American Languages

Chih-Chen Chen, William Chen, Rodolfo Zevallos +1

The application of self-supervision to speech representation learning has garnered significant interest in recent years, due to its scalability to large amounts of unlabeled data.…

cs.CL2022

Huqariq: A Multilingual Speech Corpus of Native Languages of Peru for Speech Recognition

Rodolfo Zevallos, Luis Camacho, Nelsi Melgarejo

The Huqariq corpus is a multilingual collection of speech from native Peruvian languages. The transcribed corpus is intended for the research and development of speech technologies…

cs.CL2022

Preparing an Endangered Language for the Digital Age: The Case of Judeo-Spanish

Alp Öktem, Rodolfo Zevallos, Yasmin Moslem +2

We develop machine translation and speech synthesis systems to complement the efforts of revitalizing Judeo-Spanish, the exiled language of Sephardic Jews, which survived for centu…

cs.CL2022★ 4 cited

Text-To-Speech Data Augmentation for Low Resource Speech Recognition

Rodolfo Zevallos

Nowadays, the main problem of deep learning techniques used in the development of automatic speech recognition (ASR) models is the lack of transcribed data. The goal of this resear…