The Speech Accent Archive: towards a typology of English accents

By S. Weinberger, Stephen A. Kunath. 2011

107 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Experimental and Cognitive Psychology, Language and Linguistics, Speech & Audio

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. James R. Glass
2. Yoshua Bengio
3. Hung-yi Lee
4. Mohit Bansal
5. Dong Yu
6. Quoc V. Le
7. Graham Neubig
8. Shinji Watanabe

In Experimental and Cognitive Psychology

1. Hung-yi Lee
2. Chris Dyer
3. Shinji Watanabe
4. Karen Livescu
5. Abdel-rahman Mohamed

In Speech & Audio

1. Abdel-rahman Mohamed
2. Hung-yi Lee
3. Shinji Watanabe
4. Tara N. Sainath
5. Jinyu Li
6. Shang-Wen Li
7. Karen Livescu
8. Wei-Ning Hsu

Citations in the corpus

• Learning Robust and Multilingual Speech Representations (2020, positive): “In addition we used the audio from TIMIT (Garofolo, 1993) and the Speech Accent Archive (Weinberger and Kunath, 2009), ignoring the transcrip-”
• Self-Supervised Speech Representation Learning: A Review (2022, background): “18 A collection of AudioSet, AVSpeech, CV-dataset, LS, WSJ, TIMIT, Speech Accent Archive (SSA) [253], TED3, and SWB. SSA is a growing annotated corpus of English speech with various accents.”