Design and Evaluation of Voice User Interfaces: What Should One Consider?

Author:

Klein Andreas M.ORCID,Kölln KristinaORCID,Deutschländer JanaORCID,Rauschenberger MariaORCID

Publisher

Springer Nature Switzerland

Reference98 articles.

1. Abushariah, M., Sawalha, M.: The effects of speakers’ gender, age, and region on overall performance of Arabic automatic speech recognition systems using the phonetically rich and balanced modern standard Arabic speech corpus. In: Proceedings of the 2nd Workshop of Arabic Corpus Linguistics WACL-2 (2013)

2. Ali, A.: Multi-dialect Arabic broadcast speech recognition. Ph.D. thesis, The University of Edinburgh (2018). https://core.ac.uk/display/429725521?source=2. Accessed 09 Feb 2023

3. Alsharhan, E., Ramsay, A.: Investigating the effects of gender, dialect, and training size on the performance of Arabic speech recognition. Nat. Lang. Eng. 54(4), 975–998 (2020). https://doi.org/10.1007/s10579-020-09505-5

4. Ammari, T., Kaye, J., Tsai, J.Y., Bentley, F.: Music, Search, and IoT. ACM Trans. Comput.-Hum. Interact. 26, 1–28 (2019). https://doi.org/10.1145/3311956

5. Bhalla, A.: An exploratory study understanding the appropriated use of voice-based search and assistants. In: Proceedings of the 9th Indian Conference on Human Computer Interaction, pp. 90–94. Association for Computing Machinery, New York (2018). https://doi.org/10.1145/3297121.3297136

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