Multilingual Neural Network Acoustic Modelling for ASR of Under-Resourced English-isiZulu Code-Switched Speech

Multilingual Bottleneck Features for Improving ASR Performance of Code-Switched Speech in Under-Resourced Languages

In this work, we explore the benefits of using multilingual bottleneck features (mBNF) in acoustic m

Semi-supervised Development of ASR Systems for Multilingual Code-switched Speech in Under-resourced Languages

This paper reports on the semi-supervised development of acoustic and language models for under-resourced, code-switched speech in five South African languages. Two approaches are considered. The first constructs four separate bilingual automatic speech recognisers

Semi-supervised acoustic and language model training for English-isiZulu code-switched speech recognition

We present an analysis of semi-supervised acoustic and language model training for English-isiZulu c

English-IsiZulu Code-Switched Speech Recognition Dataset

Dataset for semi-supervised acoustic and language model training for English-isiZulu code-switched s

Neural-based NLP systems for code-switched Arabic-English speech

In the ever-evolving language landscape, code-switching has emerged as an interesting linguistic phe

Automatic Speech Recognition of English-isiZulu Code-switched Speech from South African Soap Operas