## Appendix B
(2016) [PERSON]; [PERSON]; [PERSON] [PERSON] Disfluency detection using a bidirectional LSTM. In Proceedings of the Annual Conference of the International Speech Communication Association (INTERSPEECH), San Francisco, CA, USA, 8-12 September 2016; pp. 2523-2527. * [PERSON] et al. (2019) [PERSON]; [PERSON]; [PERSON] Fluent translations from disfluent speech in end-to-end speech translation. In Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), Minneapolis, MN, USA, 2-7 June 2019; pp. 2786-2792. * [PERSON] and [PERSON] (2014) [PERSON]; [PERSON] Big data deep learning: Challenges and perspectives. _IEEE Access_**2014**, \(2\), 514-525. [CrossRef]
* [PERSON] et al. (2004) [PERSON]; [PERSON]; [PERSON] The Fisher corpus: A resource for the next generations of speech-to-text. In Proceedings of the 4 th International Conference of the Language Resources and Evaluation (LREC), Baltimore, MD, USA, 24-30 May 2004; pp. 69-71. * [PERSON] and [PERSON] (2014) [PERSON]; [PERSON]; [PERSON] Enhancing the TED-LIUM corpus with selected data for language modeling and more TED talks. In Proceedings of the 9 th International Conference of the Language Resources and Evaluation (LREC), Reykjavik, Iceland, 26-31 May 2014; pp. 3935-3939. * [PERSON] et al. (2018) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] TED-LIUM 3: Twice as much data and corpus repartition for experiments on speaker adaptation. In Proceedings of the International Conference on Speech and Computer (SPECOM), Leipzig, Germany, 18-22 September 2018; pp. 198-208. * [PERSON] et al. (2006) [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] _HKUST/MTS: A Very Large Scale Mandarin Telephone Speech Corpus_; Springer: Berlin/Heidelberg, Germany, 2006; Volume 4274, pp. 724-735. * [PERSON] et al. (2000) [PERSON]; [PERSON]; [PERSON]; [PERSON] Spontaneous Speech Corpus of Japanese. In Proceedings of the 2 nd International Conference of the Language Resources and Evaluation (LREC), Athens, Greece, 31 May-2 June 2000; pp. 947-9520. * [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] Massively Multilingual ASR: 50 languages, 1 model, 1 billion parameters. _arXiv_**2020**, arXiv:2007.03001. * Zeroth Project Homepage. Available online: [[https://github.com/goodatlas/zeroth](https://github.com/goodatlas/zeroth)]([https://github.com/goodatlas/zeroth](https://github.com/goodatlas/zeroth)) (accessed on 5 August 2020). * [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; et al. ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers. _arXiv_**2020**, arXiv:2004.09367. * (22) AIHub Homepage. Available online: [[http://www.aihub.or.kr/aidata/105](http://www.aihub.or.kr/aidata/105)]([http://www.aihub.or.kr/aidata/105](http://www.aihub.or.kr/aidata/105)) (accessed on 5 August 2020). * (23) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; et al. ESPnet: End-to-end speech processing toolkit. In Proceedings of the Annual Conference of the International Speech Communication Association (INTERSPEECH), Hyderabad, India, 2-6 September 2018; pp. 2207-2211. * (24) [PERSON]; [PERSON]; [PERSON] [PERSON] Joint CTC-attention based end-to-end speech recognition using multi-task learning. In Proceedings of the 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, LA, USA, 5-9 March 2017; pp. 4835-4839. * (25) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON] Hybrid CTC/attention architecture for end-to-end speech recognition. _JSTSP_**2017**, _11_, 1240-1253. [CrossRef]
* (26) [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON] Improving Transformer-based end-to-end speech recognition with connectionist temporal classification and language model integration.