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2021 | OriginalPaper | Chapter

Design of Text and Voice Machine Translation Tool for Presentations

Authors : Thi-My-Thanh Nguyen, Xuan-Dung Phan, Ngoc-Bich Le, Xuan-Quy Dao

Published in: Recent Challenges in Intelligent Information and Database Systems

Publisher: Springer Singapore

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Abstract

In this paper, a machine translation tool for presentations was presented. This virtual translation tool is a novel approach for generating text or voice in other languages. The proposed system is expected to assists audiences in understanding foreign language content in the live presentations. In this study, the conventional translator was taken over by neural machine translation and human-machine interaction was improved significantly by using text to speech and speech recognition. Experimental results in Vietnamese-English pair showed the effectiveness of the proposed system design and deployment approach.

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Literature
1.
2.
3.
Aiken, M., Wong, Z.: An updated evaluation of Google translate accuracy. Stud. Linguist. Lit. 3(3), 253–260 (2019)CrossRef
4.
Bahdanau, D., Cho, K., Bengio, Y.: Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:​1409.​0473 (2014)
5.
Chan, W., Jaitly, N., Le, Q., Vinyals, O.: Listen, attend and spell: a neural network for large vocabulary conversational speech recognition. In: 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 4960–4964. IEEE (2016)
6.
7.
Chiu, C.C., et al.: State-of-the-art speech recognition with sequence-to-sequence models. In: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 4774–4778. IEEE (2018)
8.
Chorowski, J.K., Bahdanau, D., Serdyuk, D., Cho, K., Bengio, Y.: Attention-based models for speech recognition. In: Advances in Neural Information Processing Systems, pp. 577–585 (2015)
9.
10.
Guo, J., Sainath, T.N., Weiss, R.J.: A spelling correction model for end-to-end speech recognition. In: 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ICASSP 2019, pp. 5651–5655. IEEE (2019)
11.
Hatim, B., Munday, J.: Translation: An Advanced Resource Book. Psychology Press (2004)
12.
Jia, Y., et al.: Transfer learning from speaker verification to multispeaker text-to-speech synthesis. In: Advances in Neural Information Processing Systems, pp. 4480–4490 (2018)
13.
Këpuska, V., Bohouta, G.: Comparing speech recognition systems (Microsoft API, Google API and CMU Sphinx). Int. J. Eng. Res. Appl. 7(03), 20–24 (2017)
14.
Nguyen, T., Diep, H., Le, B., Dao, Q.: Comparing Vietnamese speech recognitions. In: 2021 5th International Conference on Machine Learning and Soft Computing (ICMLSC). ACM (2021, accepted)
15.
16.
Prabhavalkar, R., Rao, K., Sainath, T.N., Li, B., Johnson, L., Jaitly, N.: A comparison of sequence-to-sequence models for speech recognition. In: Interspeech, pp. 939–943 (2017)
17.
Prabhavalkar, R., et al.: Minimum word error rate training for attention-based sequence-to-sequence models. In: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 4839–4843. IEEE (2018)
18.
Salimans, T., Karpathy, A., Chen, X., Kingma, D.P.: PixelCNN++: improving the pixelcnn with discretized logistic mixture likelihood and other modifications. arXiv preprint arXiv:​1701.​05517 (2017)
19.
Shen, J., et al.: Natural TTS synthesis by conditioning WaveNet on Mel spectrogram predictions. In: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 4779–4783. IEEE (2018)
20.
Sutskever, I., Vinyals, O., Le, Q.V.: Sequence to sequence learning with neural networks. In: Advances in Neural Information Processing Systems, pp. 3104–3112 (2014)
21.
Trang, N.T.T., Tung, N.X.: Text-to-speech shared task in VLSP campaign 2019: evaluating Vietnamese speech synthesis on common datasets. In: Vietnamese Language Signal Processing. VLSP (2019)
22.
Vaswani, A., et al.: Attention is all you need. In: Advances in Neural Information Processing Systems, pp. 5998–6008 (2017)
23.
Waibel, A.: Organic machine learning (2021)
24.
Wang, Y., Fan, X., Chen, I.F., Liu, Y., Chen, T., Hoffmeister, B.: End-to-end anchored speech recognition. In: 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ICASSP 2019, pp. 7090–7094. IEEE (2019)
25.
Wu, Y., et al.: Google’s neural machine translation system: bridging the gap between human and machine translation. arXiv preprint arXiv:​1609.​08144 (2016)
Metadata
Title
Design of Text and Voice Machine Translation Tool for Presentations
Authors
Thi-My-Thanh Nguyen
Xuan-Dung Phan
Ngoc-Bich Le
Xuan-Quy Dao
Copyright Year
2021
Publisher
Springer Singapore
Book
Recent Challenges in Intelligent Information and Database Systems

Print ISBN: 978-981-16-1684-6

Electronic ISBN: 978-981-16-1685-3

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-16-1685-3_11

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