Papers by Reva Schwartz
Pre-trained Speech Processing Models Contain Human-Like Biases that Propagate to Speech Emotion Recognition (2023.findings-emnlp)
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| Challenge: | Existing work has established that a person’s demographics and speech style affect how well speech processing models perform for them. |
| Approach: | They propose a method to detect bias in pre-trained models by using word embedding association tests in natural language processing to quantify bias in models' representations of different concepts. |
| Outcome: | The proposed method detects bias in pre-trained models and can have real-world effects. |