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# EDEN ASR Dataset
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A subset of this data was used to support the development of empathetic feedback modules in [EDEN](https://arxiv.org/abs/2406.17982) and [its prior work](https://arxiv.org/abs/2404.13764).
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# EDEN ASR Dataset
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A subset of this data was used to support the development of empathetic feedback modules in [EDEN](https://arxiv.org/abs/2406.17982) and [its prior work](https://arxiv.org/abs/2404.13764).
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To create data for testing various modules, we utilized audio clips of native Mandarin speakers conversing with a chatbot collected from an [English practice platform](https://dl.acm.org/doi/abs/10.1145/3491140.3528329?casa_token=ER-mfy0xauQAAAAA:FyDgmH0Y0ke7a6jpOnuycP1HRfeV1B5qaq5JWM5OV5dB9fLFL_vzVRUacZ4fUMRBDl71UeWMIA9Z).
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3081 audio clips from 613 conversations and 163 users remained after filtering.
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The filtering process removes audio clips containing only Mandarin, duplicates, and a subset of self-introductions from the users.
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Each audio clip ranges from one second to two minutes. We did not collect demographic information for user identity protection.
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In our original work, we directly transcribed the speech with Whisper Medium. However, since the audio clips are accented speech, there exist instances of ASR error in these transcripts. We have **manually verified** the original transcripts to ensure they are high-quality.
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## Dataset Columns
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* **audio_url**: The URL to the audio clips; you can download them using wget to your local machines.
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* **emotion_label**: We manually labeled a subset of the clips as **Neutral** (neutral emotions), **Negative** (the speaker is displaying negative emotions), or **Pauses** (there are a lot of pauses in the speech, potentially signaling language anxiety). The process is documented in [EDEN's prior work](https://arxiv.org/abs/2404.13764). When this field is empty, it means that the clip was not labeled.
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* **corrected_whisper_transcript**: The high-quality transcript we have verified; the person performing verification is a native English speaker.
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## Intended Use
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This set of data can be used for Accented ASR research!
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