Bilingual ASR model with language identification for Brazilian Portuguese and South-American Spanish
Year: 2023

Creating accurate and reliable low-resource automatic speech recognition (ASR) models remains challenging due to limited curated data.This work proposes a bilingual ASR model for Brazilian Portuguese and Latin-American Spanish implemented with the Wav2Vec2.0architecture and trained on multiple speech datasets.It combines Language Identification and Speech Recognition, employing a joint feature encoder and task-specific context encoders.Evaluation in the Multilingual Librispeech dataset demonstra