10 citations · 28 across the 9 of their papers we have counts for
9 papers
Automatically assessing oral narratives of Afrikaans and isiXhosa children
Retief Louw, Emma Sharratt, Febe de Wet +3
Developing narrative and comprehension skills in early childhood is critical for later literacy. However, teachers in large preschool classrooms struggle to accurately identify stu…
Feature-based analysis of oral narratives from Afrikaans and isiXhosa children
Emma Sharratt, Annelien Smith, Retief Louw +3
Oral narrative skills are strong predictors of later literacy development. This study examines the features of oral narratives from children who were identified by experts as requi…
Speech Recognition for Automatically Assessing Afrikaans and isiXhosa Preschool Oral Narratives
Christiaan Jacobs, Annelien Smith, Daleen Klop +3
We develop automatic speech recognition (ASR) systems for stories told by Afrikaans and isiXhosa preschool children. Oral narratives provide a way to assess children's language dev…
Multilingual Bottleneck Features for Improving ASR Performance of Code-Switched Speech in Under-Resourced Languages
Trideba Padhi, Astik Biswas, Febe De Wet +2
In this work, we explore the benefits of using multilingual bottleneck features (mBNF) in acoustic modelling for the automatic speech recognition of code-switched (CS) speech in Af…
Semi-supervised acoustic modelling for five-lingual code-switched ASR using automatically-segmented soap opera speech
N. Wilkinson, A. Biswas, E. Yılmaz +3
This paper considers the impact of automatic segmentation on the fully-automatic, semi-supervised training of automatic speech recognition (ASR) systems for five-lingual code-switc…
Semi-supervised acoustic and language model training for English-isiZulu code-switched speech recognition
A. Biswas, F. de Wet, E. van der Westhuizen +1
We present an analysis of semi-supervised acoustic and language model training for English-isiZulu code-switched ASR using soap opera speech. Approximately 11 hours of untranscribe…
Semi-supervised Development of ASR Systems for Multilingual Code-switched Speech in Under-resourced Languages
Astik Biswas, Emre Yılmaz, Febe de Wet +2
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…
Semi-supervised acoustic model training for five-lingual code-switched ASR
Astik Biswas, Emre Yılmaz, Febe de Wet +2
This paper presents recent progress in the acoustic modelling of under-resourced code-switched (CS) speech in multiple South African languages. We consider two approaches. The firs…
Building a Unified Code-Switching ASR System for South African Languages
Emre Yılmaz, Astik Biswas, Ewald van der Westhuizen +2
We present our first efforts towards building a single multilingual automatic speech recognition (ASR) system that can process code-switching (CS) speech in five languages spoken w…