Programming by Voice: Exploring User Preferences and Speaking Styles

Author:

Nowrin Sadia1ORCID,Vertanen Keith1ORCID

Affiliation:

1. Computer Science, Michigan Technological University, United States

Publisher

ACM

Reference25 articles.

1. Programming by voice, VocalProgramming

2. Alexei Baevski , Yuhao Zhou , Abdelrahman Mohamed , and Michael Auli . 2020. wav2vec 2.0: A framework for self-supervised learning of speech representations. Advances in neural information processing systems 33 ( 2020 ), 12449–12460. Alexei Baevski, Yuhao Zhou, Abdelrahman Mohamed, and Michael Auli. 2020. wav2vec 2.0: A framework for self-supervised learning of speech representations. Advances in neural information processing systems 33 (2020), 12449–12460.

3. Spoken Programs

4. Andrew Begel and Susan  L Graham . 2006. An Assessment of a Speech-Based Programming Environment . In Visual LAnguages and Human-Centric Computing (VL/HCC’06) . IEEE , 116–120. Andrew Begel and Susan L Graham. 2006. An Assessment of a Speech-Based Programming Environment. In Visual LAnguages and Human-Centric Computing (VL/HCC’06). IEEE, 116–120.

5. Tom Brown , Benjamin Mann , Nick Ryder , Melanie Subbiah , Jared  D Kaplan , Prafulla Dhariwal , Arvind Neelakantan , Pranav Shyam , Girish Sastry , Amanda Askell , 2020. Language models are few-shot learners. Advances in neural information processing systems 33 ( 2020 ), 1877–1901. Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, 2020. Language models are few-shot learners. Advances in neural information processing systems 33 (2020), 1877–1901.

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