33 citations · 61 across the 9 of their papers we have counts for
10 papers
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…
Identification/Segmentation of Indian Regional Languages with Singular Value Decomposition based Feature Embedding
Anirban Bhowmick, Astik Biswas
language identification (LID) is identifing a language in a given spoken utterance. Language segmentation is equally inportant as language identification where language boundaries…
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…
Improved low-resource Somali speech recognition by semi-supervised acoustic and language model training
Astik Biswas, Raghav Menon, Ewald van der Westhuizen +1
We present improvements in automatic speech recognition (ASR) for Somali, a currently extremely under-resourced language. This forms part of a continuing United Nations (UN) effort…
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…
Automatic Speech Recognition for Humanitarian Applications in Somali
Raghav Menon, Astik Biswas, Armin Saeb +2
We present our first efforts in building an automatic speech recognition system for Somali, an under-resourced language, using 1.57 hrs of annotated speech for acoustic model train…
Spoken Language Identification Using Hybrid Feature Extraction Methods
Pawan Kumar, Astik Biswas, A . N. Mishra +1
This paper introduces and motivates the use of hybrid robust feature extraction technique for spoken language identification (LID) system. The speech recognizers use a parametric f…