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ORCIDThomas Niesler
Thomas R. Niesler
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- affiliation: University of Stellenbosch, South Africa
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2020 – today
- 2024
[c61]Joshua Miles Jansen van Vüren, Febe de Wet, Thomas Niesler:
Automatic Partitioning of a Code-Switched Speech Corpus Using Mixed-Integer Programming. LREC/COLING 2024: 1944-1952- [i26]Christiaan M. Geldenhuys, Thomas R. Niesler:
Learning to rumble: Automated elephant call classification, detection and endpointing using deep architectures. CoRR abs/2410.12082 (2024) - 2023
- [j20]Madhurananda Pahar
, Igor D. S. Miranda, Andreas H. Diacon, Thomas Niesler:
Accelerometer-Based Bed Occupancy Detection for Automatic, Non-Invasive Long-Term Cough Monitoring. IEEE Access 11: 30739-30752 (2023) - [j19]Rynhardt Kruger, Febe de Wet, Thomas Niesler:
Mathematical Content Browsing for Print-disabled Readers Based on Virtual-world Exploration and Audio-visual Sensory Substitution. ACM Trans. Access. Comput. 16(2): 12:1-12:27 (2023) - [c60]Kimsey Zajac, Aycan Aslan, Maike Greve, Lutz M. Kolbe, Grant Theron, Thomas Niesler, Marisa Klopper, Frank Cobelens:
Bridging Healthcare Barriers with mHealth: A Systematic Review of Tuberculosis Applications and their Limitations. AMCIS 2023 - [c59]Joshua Jansen van Vüren, Thomas Niesler:
Improving Under-Resourced Code-Switched Speech Recognition: Large Pre-trained Models or Architectural Interventions. INTERSPEECH 2023: 1439-1443 - [i25]Geoffrey T. Frost, Emily Morris, Joshua Jansen van Vüren, Thomas Niesler:
Fine-Tuned Self-Supervised Speech Representations for Language Diarization in Multilingual Code-Switched Speech. CoRR abs/2312.09645 (2023) - 2022
- [j18]Madhurananda Pahar, Marisa Klopper, Robin Warren, Thomas Niesler:
COVID-19 detection in cough, breath and speech using deep transfer learning and bottleneck features. Comput. Biol. Medicine 141: 105153 (2022) - [j17]Astik Biswas, Emre Yilmaz, Ewald van der Westhuizen, Febe de Wet, Thomas Niesler:
Code-switched automatic speech recognition in five South African languages. Comput. Speech Lang. 71: 101262 (2022) - [j16]Ewald van der Westhuizen, Herman Kamper, Raghav Menon, John A. Quinn, Thomas Niesler:
Feature learning for efficient ASR-free keyword spotting in low-resource languages. Comput. Speech Lang. 71: 101275 (2022) - [j15]Madhurananda Pahar, Igor D. S. Miranda, Andreas H. Diacon, Thomas Niesler:
Automatic Non-Invasive Cough Detection based on Accelerometer and Audio Signals. J. Signal Process. Syst. 94(8): 821-835 (2022) - [c58]Madhurananda Pahar, Marisa Klopper, Byron Reeve, Rob Warren, Grant Theron, Andreas H. Diacon, Thomas Niesler:
Wake-Cough: cough spotting and cougher identification for personalised long-term cough monitoring. EUSIPCO 2022: 185-189 - [c57]Geoffrey T. Frost, Grant Theron, Thomas Niesler:
TB or not TB? Acoustic cough analysis for tuberculosis classification. INTERSPEECH 2022: 2448-2452 - [c56]Geoffrey T. Frost, Emily Morris, Joshua Jansen van Vüren, Thomas Niesler:
Fine-Tuned Self-supervised Speech Representations for Language Diarization in Multilingual Code-Switched Speech. SACAIR 2022: 246-259 - [c55]Joshua Jansen van Vüren, Thomas Niesler:
Code-Switched Language Modelling Using a Code Predictive Lstm in Under-Resourced South African Languages. SLT 2022: 785-791 - [i24]Rynhardt Kruger, Febe de Wet, Thomas Niesler:
Mathematical Content Browsing for Print-Disabled Readers Based on Virtual-World Exploration and Audio-Visual Sensory substitution. CoRR abs/2202.01639 (2022) - [i23]Madhurananda Pahar, Igor D. S. Miranda, Andreas H. Diacon, Thomas Niesler:
Accelerometer-based Bed Occupancy Detection for Automatic, Non-invasive Long-term Cough Monitoring. CoRR abs/2202.03936 (2022) - [i22]Madhurananda Pahar, Marisa Klopper, Byron Reeve, Rob Warren, Grant Theron, Andreas H. Diacon, Thomas Niesler:
Automatic Tuberculosis and COVID-19 cough classification using deep learning. CoRR abs/2205.05480 (2022) - [i21]Geoffrey T. Frost, Grant Theron, Thomas Niesler:
TB or not TB? Acoustic cough analysis for tuberculosis classification. CoRR abs/2209.00934 (2022) - 2021
- [j14]Madhurananda Pahar, Marisa Klopper, Robin Warren, Thomas Niesler:
COVID-19 cough classification using machine learning and global smartphone recordings. Comput. Biol. Medicine 135: 104572 (2021) - [c54]Igor D. S. Miranda, Gildeberto Cardoso, Madhurananda Pahar, Gabriel Oliveira, Thomas Niesler:
Machine Learning Prediction of Hospitalization due to COVID-19 based on Self-Reported Symptoms: A Study for Brazil. BHI 2021: 1-5 - [c53]Nicholas Wilkinson, Thomas Niesler:
A Hybrid CNN-BiLSTM Voice Activity Detector. ICASSP 2021: 6803-6807 - [c52]Madhurananda Pahar, Igor D. S. Miranda, Andreas H. Diacon, Thomas Niesler:
Deep Neural Network Based Cough Detection Using Bed-Mounted Accelerometer Measurements. ICASSP 2021: 8002-8006 - [c51]Joshua Jansen van Vueren, Thomas Niesler:
Optimised Code-Switched Language Model Data Augmentation in Four Under-Resourced South African Languages. SPECOM 2021: 303-316 - [c50]Ewald van der Westhuizen, Trideba Padhi, Thomas Niesler:
Multilingual Training Set Selection for ASR in Under-Resourced Malian Languages. SPECOM 2021: 749-760 - [i20]Madhurananda Pahar, Igor D. S. Miranda, Andreas H. Diacon, Thomas Niesler:
Deep Neural Network based Cough Detection using Bed-mounted Accelerometer Measurements. CoRR abs/2102.04997 (2021) - [i19]Madhurananda Pahar, Marisa Klopper, Byron Reeve, Grant Theron, Rob Warren, Thomas Niesler:
Automatic Cough Classification for Tuberculosis Screening in a Real-World Environment. CoRR abs/2103.13300 (2021) - [i18]Madhurananda Pahar, Thomas Niesler:
Machine Learning based COVID-19 Detection from Smartphone Recordings: Cough, Breath and Speech. CoRR abs/2104.02477 (2021) - [i17]Madhurananda Pahar, Igor D. S. Miranda, Andreas H. Diacon, Thomas Niesler:
Automatic non-invasive Cough Detection based on Accelerometer and Audio Signals. CoRR abs/2109.00103 (2021) - [i16]Madhurananda Pahar, Marisa Klopper, Byron Reeve, Rob Warren, Grant Theron, Andreas H. Diacon, Thomas Niesler:
Wake-Cough: cough spotting and cougher identification for personalised long-term cough monitoring. CoRR abs/2110.03771 (2021) - 2020
- [c49]Astik Biswas, Febe de Wet, Ewald van der Westhuizen, Thomas Niesler:
Semi-supervised acoustic and language model training for English-isiZulu code-switched speech recognition. CodeSwitch@LREC 2020: 52-56 - [c48]Rynhardt Kruger, Febe de Wet, Thomas Niesler:
Interactive Image Exploration for Visually Impaired Readers using Audio-augmented Touch Gestures. IV 2020: 544-549 - [c47]Astik Biswas, Emre Yilmaz, Febe de Wet, Ewald van der Westhuizen, Thomas Niesler:
Semi-supervised Development of ASR Systems for Multilingual Code-switched Speech in Under-resourced Languages. LREC 2020: 3468-3474 - [c46]Morgan O'Kennedy, Thomas Niesler, Riaan Wolhuter, Nathalie Mitton:
Practical evaluation of carrier sensing for a LoRa wildlife monitoring network. Networking 2020: 614-618 - [c45]Nick Wilkinson, Astik Biswas, Emre Yilmaz, Febe de Wet, Ewald van der Westhuizen, Thomas Niesler:
Semi-supervised Acoustic Modelling for Five-lingual Code-switched ASR using Automatically-segmented Soap Opera Speech. SLTU-CCURL@LREC 2020: 70-78 - [i15]Astik Biswas, Emre Yilmaz, Febe de Wet, Ewald van der Westhuizen, Thomas Niesler:
Semi-supervised Development of ASR Systems for Multilingual Code-switched Speech in Under-resourced Languages. CoRR abs/2003.03135 (2020) - [i14]Astik Biswas, Febe de Wet, Ewald van der Westhuizen, Thomas R. Niesler:
Semi-supervised acoustic and language model training for English-isiZulu code-switched speech recognition. CoRR abs/2004.04054 (2020) - [i13]Nick Wilkinson, Astik Biswas, Emre Yilmaz, Febe de Wet, Ewald van der Westhuizen, Thomas R. Niesler:
Semi-supervised acoustic modelling for five-lingual code-switched ASR using automatically-segmented soap opera speech. CoRR abs/2004.06480 (2020) - [i12]Trideba Padhi, Astik Biswas, Febe de Wet, Ewald van der Westhuizen, Thomas Niesler:
Multilingual Bottleneck Features for Improving ASR Performance of Code-Switched Speech in Under-Resourced Languages. CoRR abs/2011.03118 (2020) - [i11]Madhurananda Pahar, Marisa Klopper, Robin Warren, Thomas Niesler:
COVID-19 Cough Classification using Machine Learning and Global Smartphone Recordings. CoRR abs/2012.01926 (2020)
2010 – 2019
- 2019
- [j13]Ewald van der Westhuizen, Thomas Niesler:
Synthesised bigrams using word embeddings for code-switched ASR of four South African language pairs. Comput. Speech Lang. 54: 151-175 (2019) - [j12]Wiehan Agenbag, Thomas Niesler:
Automatic sub-word unit discovery and pronunciation lexicon induction for ASR with application to under-resourced languages. Comput. Speech Lang. 57: 20-40 (2019) - [j11]Lerato Lerato, Thomas Niesler:
Feature trajectory dynamic time warping for clustering of speech segments. EURASIP J. Audio Speech Music. Process. 2019: 6 (2019) - [c44]Igor D. S. Miranda, Andreas H. Diacon, Thomas R. Niesler:
A Comparative Study of Features for Acoustic Cough Detection Using Deep Architectures. EMBC 2019: 2601-2605 - [c43]Astik Biswas, Raghav Menon, Ewald van der Westhuizen, Thomas Niesler:
Improved Low-Resource Somali Speech Recognition by Semi-Supervised Acoustic and Language Model Training. INTERSPEECH 2019: 3008-3012 - [c42]Raghav Menon, Herman Kamper, Ewald van der Westhuizen, John A. Quinn, Thomas Niesler:
Feature Exploration for Almost Zero-Resource ASR-Free Keyword Spotting Using a Multilingual Bottleneck Extractor and Correspondence Autoencoders. INTERSPEECH 2019: 3475-3479 - [c41]Wiehan Agenbag, Thomas Niesler:
Improving Automatically Induced Lexicons for Highly Agglutinating Languages Using Data-Driven Morphological Segmentation. INTERSPEECH 2019: 3515-3519 - [c40]Astik Biswas, Emre Yilmaz, Febe de Wet, Ewald van der Westhuizen, Thomas Niesler:
Semi-Supervised Acoustic Model Training for Five-Lingual Code-Switched ASR. INTERSPEECH 2019: 3745-3749 - [i10]Astik Biswas, Emre Yilmaz, Febe de Wet, Ewald van der Westhuizen, Thomas Niesler:
Semi-supervised acoustic model training for five-lingual code-switched ASR. CoRR abs/1906.08647 (2019) - [i9]Astik Biswas, Raghav Menon, Ewald van der Westhuizen, Thomas Niesler:
Improved low-resource Somali speech recognition by semi-supervised acoustic and language model training. CoRR abs/1907.03064 (2019) - 2018
- [c39]Emre Yilmaz, Astik Biswas, Ewald van der Westhuizen, Febe de Wet, Thomas Niesler:
Building a Unified Code-Switching ASR System for South African Languages. INTERSPEECH 2018: 1923-1927 - [c38]Astik Biswas, Febe de Wet, Ewald van der Westhuizen, Emre Yilmaz, Thomas Niesler:
Multilingual Neural Network Acoustic Modelling for ASR of Under-Resourced English-isiZulu Code-Switched Speech. INTERSPEECH 2018: 2603-2607 - [c37]Raghav Menon, Herman Kamper, John A. Quinn, Thomas Niesler:
Fast ASR-free and Almost Zero-resource Keyword Spotting Using DTW and CNNs for Humanitarian Monitoring. INTERSPEECH 2018: 2608-2612 - [c36]Ewald van der Westhuizen, Thomas Niesler:
A First South African Corpus of Multilingual Code-switched Soap Opera Speech. LREC 2018 - [c35]Raghav Menon, Astik Biswas, Armin Saeb, John A. Quinn, Thomas Niesler:
Automatic Speech Recognition for Humanitarian Applications in Somali. SLTU 2018: 20-24 - [c34]Astik Biswas, Ewald van der Westhuizen, Thomas Niesler, Febe de Wet:
Improving ASR for Code-Switched Speech in Under-Resourced Languages Using Out-of-Domain Data. SLTU 2018: 122-126 - [c33]Raghav Menon, Herman Kamper, Emre Yilmaz, John A. Quinn, Thomas Niesler:
ASR-Free CNN-DTW Keyword Spotting Using Multilingual Bottleneck Features for Almost Zero-Resource Languages. SLTU 2018: 182-186 - [i8]Raghav Menon, Herman Kamper, John A. Quinn, Thomas Niesler:
Fast ASR-free and almost zero-resource keyword spotting using DTW and CNNs for humanitarian monitoring. CoRR abs/1806.09374 (2018) - [i7]Raghav Menon, Herman Kamper, Emre Yilmaz, John A. Quinn, Thomas Niesler:
ASR-free CNN-DTW keyword spotting using multilingual bottleneck features for almost zero-resource languages. CoRR abs/1807.08666 (2018) - [i6]Raghav Menon, Astik Biswas, Armin Saeb, John A. Quinn, Thomas Niesler:
Automatic Speech Recognition for Humanitarian Applications in Somali. CoRR abs/1807.08669 (2018) - [i5]Emre Yilmaz, Astik Biswas, Ewald van der Westhuizen, Febe de Wet, Thomas Niesler:
Building a Unified Code-Switching ASR System for South African Languages. CoRR abs/1807.10949 (2018) - [i4]Lerato Lerato, Thomas Niesler:
Feature Trajectory Dynamic Time Warping for Clustering of Speech Segments. CoRR abs/1810.12722 (2018) - [i3]Lerato Lerato, Thomas Niesler:
Cluster Size Management in Multi-Stage Agglomerative Hierarchical Clustering of Acoustic Speech Segments. CoRR abs/1810.12744 (2018) - [i2]Rudolf Byker, Thomas Niesler:
Direction of Arrival Estimation of Wide-band Signals with Planar Microphone Arrays. CoRR abs/1811.06756 (2018) - [i1]Raghav Menon, Herman Kamper, John A. Quinn, Thomas Niesler:
Almost Zero-Resource ASR-free Keyword Spotting using Multilingual Bottleneck Features and Correspondence Autoencoders. CoRR abs/1811.08284 (2018) - 2017
- [j10]Rensu P. Theart, Ben Loos, Thomas R. Niesler:
Virtual reality assisted microscopy data visualization and colocalization analysis. BMC Bioinform. 18(S-2): 64:1-64:16 (2017) - [c32]Jonathan Wotherspoon, Riaan Wolhuter, Thomas Niesler:
Choosing an integrated radio-frequency module for a wildlife monitoring wireless sensor network. AFRICON 2017: 314-319 - [c31]Raghav Menon, Armin Saeb, Hugh Cameron, William Kibira, John A. Quinn, Thomas Niesler:
Radio-browsing for developmental monitoring in Uganda. ICASSP 2017: 5795-5799 - [c30]Solomon le Roux, Riaan Wolhuter, Thomas Niesler, Nobby Stevens:
Energy benefits of on-board behaviour classification for animal-borne sensor applications. IEEE SENSORS 2017: 1-3 - [c29]Ewald van der Westhuizen, Thomas Niesler:
Synthesising isiZulu-English Code-Switch Bigrams Using Word Embeddings. INTERSPEECH 2017: 72-76 - [c28]Armin Saeb, Raghav Menon, Hugh Cameron, William Kibira, John A. Quinn, Thomas Niesler:
Very Low Resource Radio Browsing for Agile Developmental and Humanitarian Monitoring. INTERSPEECH 2017: 2118-2122 - 2016
- [c27]Ewald van der Westhuizen, Thomas Niesler:
The Effect of Postlexical Deletion on Automatic Speech Recognition in Fast Spontaneously Spoken Zulu. INTERSPEECH 2016: 3559-3563 - [c26]Wiehan Agenbag, Thomas Niesler:
Refining Sparse Coding Sub-word Unit Inventories with Lattice-constrained Viterbi Training. SLTU 2016: 87-94 - [c25]Ewald van der Westhuizen, Thomas Niesler:
Automatic Speech Recognition of English-isiZulu Code-switched Speech from South African Soap Operas. SLTU 2016: 121-127 - 2015
- [c24]Christiaan Rademan, Thomas Niesler:
Improved visual speech synthesis using dynamic viseme k-means clustering and decision trees. AVSP 2015: 169-174 - [c23]Van Zyl van Vuuren, Louis ten Bosch, Thomas Niesler:
Unconstrained Speech Segmentation using Deep Neural Networks. ICPRAM (1) 2015: 248-254 - [c22]Wiehan Agenbag, Thomas Niesler:
Automatic segmentation and clustering of speech using sparse coding and metaheuristic search. INTERSPEECH 2015: 3184-3188 - 2014
- [j9]Herman Kamper, Febe de Wet, Thomas Hain, Thomas Niesler:
Capitalising on North American speech resources for the development of a South African English large vocabulary speech recognition system. Comput. Speech Lang. 28(6): 1255-1268 (2014) - [c21]Lehlohonolo Mohasi, Milan Secujski, Robert Mak, Thomas Niesler:
A Comparison of Two Prosody Modelling Approaches for Sesotho and Serbian. SPECOM 2014: 34-41 - 2013
- [c20]Van Zyl van Vuuren, Louis ten Bosch, Thomas Niesler:
A dynamic programming framework for neural network-based automatic speech segmentation. INTERSPEECH 2013: 2287-2291 - 2012
- [j8]Herman Kamper, Félicien Jeje Muamba Mukanya, Thomas Niesler:
Multi-accent acoustic modelling of South African English. Speech Commun. 54(6): 801-813 (2012) - [c19]Herman Kamper, Febe de Wet, Thomas Hain, Thomas Niesler:
Resource development and experiments in automatic south african broadcast news transcription. SLTU 2012: 102-106 - 2011
- [j7]Linsen Loots, Thomas Niesler:
Automatic conversion between pronunciations of different English accents. Speech Commun. 53(1): 75-84 (2011) - [c18]Lehlohonolo Mohasi, Hansjörg Mixdorff, Thomas Niesler:
An Acoustic Analysis of Tone in Sesotho. ICPhS 2011: 1402-1405 - [c17]Hansjörg Mixdorff, Lehlohonolo Mohasi, Malillo Machobane, Thomas Niesler:
A Study on the Perception of Tone and Intonation in Sesotho. INTERSPEECH 2011: 3181-3184 - [c16]Herman Kamper, Thomas Niesler:
Multi-Accent Speech Recognition of Afrikaans, Black and White Varieties of South African English. INTERSPEECH 2011: 3189-3192 - [c15]Febe de Wet, Pieter Müller, Christa van der Walt, Thomas Niesler:
Readability index as a design criterion for elicited imitation tasks in automatic oral proficiency assessment. SLaTE 2011: 105-108
2000 – 2009
- 2009
- [j6]Thomas Niesler, Febe de Wet:
The effect of code-mixing on accent identification accuracy. Comput. Speech Lang. 23(4): 435-443 (2009) - [j5]Febe de Wet, Christa van der Walt, Thomas Niesler:
Automatic assessment of oral language proficiency and listening comprehension. Speech Commun. 51(10): 864-874 (2009) - [c14]Linsen Loots, Thomas Niesler:
Data-driven phonetic comparison and conversion between south african, british and american English pronunciations. INTERSPEECH 2009: 196-199 - [c13]Pieter Müller, Febe de Wet, Christa van der Walt, Thomas Niesler:
Automatically assessing the oral proficiency of proficient L2 speakers. SLaTE 2009: 29-32 - 2008
- [c12]Thomas Niesler, Febe de Wet:
Accent identification in the presence of code-mixing. Odyssey 2008: 27 - 2007
- [j4]Thomas Niesler:
Language-dependent state clustering for multilingual acoustic modelling. Speech Commun. 49(6): 453-463 (2007) - [c11]Febe de Wet, Christa van der Walt, Thomas Niesler:
Automatic large-scale oral language proficiency assessment. INTERSPEECH 2007: 218-221 - 2004
- [j3]Thomas Niesler, Philippa H. Louw:
Comparative phonetic analysis and phoneme recognition for Afrikaans, English and Xhosa using the African Speech Technology telephone speech databases. South Afr. Comput. J. 32: 3-12 (2004) - [c10]Justus C. Roux, Philippa H. Louw, Thomas Niesler:
The African Speech Technology Project: An Assessment. LREC 2004 - 2003
- [j2]Thomas Niesler, Daniel Willett:
Unsupervised adaptation of statistical language models for speech recognition. South Afr. Comput. J. 30: 52-59 (2003) - [c9]Daniel Willett, Thomas Niesler, Erik McDermott, Yasuhiro Minami, Shigeru Katagiri:
Pervasive unsupervised adaptation for lecture speech transcription. ICASSP (1) 2003: 292-295 - 2002
- [c8]Thomas Niesler, Daniel Willett:
Unsupervised language model adaptation for lecture speech transcription. INTERSPEECH 2002: 1413-1416
1990 – 1999
- 1999
- [j1]Thomas Niesler, Philip C. Woodland:
Variable-length categoryn-gram language models. Comput. Speech Lang. 13(1): 99-124 (1999) - [c7]Thomas Hain, Philip C. Woodland, Thomas Niesler, Edward W. D. Whittaker:
The 1998 HTK system for transcription of conversational telephone speech. ICASSP 1999: 57-60 - [c6]Philip C. Woodland, J. J. Odell, Thomas Hain, Gareth L. Moore, Thomas Niesler, Andreas Tuerk, Edward W. D. Whittaker:
Improvements in accuracy and speed in the HTK broadcast news transcription system. EUROSPEECH 1999: 1043-1046 - 1998
- [c5]Thomas Niesler, Edward W. D. Whittaker, Philip C. Woodland:
Comparison of part-of-speech and automatically derived category-based language models for speech recognition. ICASSP 1998: 177-180 - [c4]Philip C. Woodland, Thomas Hain, Sue E. Johnson, Thomas Niesler, Andreas Tuerk, Steve J. Young:
Experiments in broadcast news transcription. ICASSP 1998: 909-912 - 1997
- [c3]Thomas Niesler, Philip C. Woodland:
Modelling word-pair relations in a category-based language model. ICASSP 1997: 795-798 - 1996
- [c2]Thomas Niesler, Philip C. Woodland:
A variable-length category-based n-gram language model. ICASSP 1996: 164-167 - [c1]Thomas Niesler, Philip C. Woodland:
Combination of word-based and category-based language models. ICSLP 1996: 220-223
Coauthor Index
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