Towards inclusive automatic speech recognition

Author:

Feng Siyuan,Halpern Bence Mark,Kudina Olya,Scharenborg OdetteORCID

Publisher

Elsevier BV

Subject

Human-Computer Interaction,Theoretical Computer Science,Software

Reference40 articles.

1. Abu Shariah, M., Sawalha, M., 2013. 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.

2. Adda-Decker, M., Lamel, L., 2005. Do speech recognizers prefer female speakers?. In: Proc. INTERSPEECH.

3. Investigating the effects of gender, dialect, and training size on the performance of Arabic speech recognition;Alsharhan;Lang. Resour. Eval.,2020

4. Semantics derived automatically from language corpora contain human-like biases;Caliskan;Science,2017

5. Speech enhancement and recognition using multi-task learning of long short-term memory recurrent neural networks;Chen,2015

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