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Semi-Supervised Acoustic Model Training for Five-Lingual Code-Switched ASR.

, , , , and . INTERSPEECH, page 3745-3749. ISCA, (2019)

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Performance evaluation of front end speech enhancement techniques., , , and . ICACCI, page 885-889. IEEE, (2014)Multilingual Neural Network Acoustic Modelling for ASR of Under-Resourced English-isiZulu Code-Switched Speech., , , , and . INTERSPEECH, page 2603-2607. ISCA, (2018)Semi-supervised Acoustic Modelling for Five-lingual Code-switched ASR using Automatically-segmented Soap Opera Speech., , , , , and . SLTU-CCURL@LREC, page 70-78. European Language Resources association, (2020)Semi-Supervised Acoustic Model Training for Five-Lingual Code-Switched ASR., , , , and . INTERSPEECH, page 3745-3749. ISCA, (2019)Semi-supervised acoustic and language model training for English-isiZulu code-switched speech recognition., , , and . CodeSwitch@LREC, page 52-56. European Language Resources Association, (2020)Automatic Speech Recognition for Humanitarian Applications in Somali., , , , and . SLTU, page 20-24. ISCA, (2018)Spoken Language Identification Using Hybrid Feature Extraction Methods, , , and . CoRR, (2010)Semi-supervised Development of ASR Systems for Multilingual Code-switched Speech in Under-resourced Languages., , , , and . LREC, page 3468-3474. European Language Resources Association, (2020)VidTIMIT audio visual phoneme recognition using AAM visual features and human auditory motivated acoustic wavelet features., , , and . ReTIS, page 428-433. IEEE, (2015)Multilingual Bottleneck Features for Improving ASR Performance of Code-Switched Speech in Under-Resourced Languages., , , , and . CoRR, (2020)