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Found 6 papers, 1 papers with code
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 modelling for the automatic speech recognition of code-switched (CS) speech in African languages.
Semi-supervised Acoustic Modelling for Five-lingual Code-switched ASR using Automatically-segmented Soap Opera Speech
Automatic segmentation was applied in combination with automaticspeaker diarization.
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 code-switched (CS) ASR using soap opera speech.
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.
Semi-supervised acoustic model training for five-lingual code-switched ASR
Furthermore, because English is common to all language pairs in our data, it dominates when training a unified language model, leading to improved English ASR performance at the expense of the other languages.
Building a Unified Code-Switching ASR System for South African Languages
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 within the same population.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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