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01Hani89 /medical_asr_recording_datasetData Source Kaggle Medical Speech, Transcription, and Intent Context 8.5 hours of audio utterances paired with text for common medical symptoms. Content This data contains thousands of audio utterances for common medical symptoms like “knee pain” or “headache,” totaling more than 8 hours in aggregate. Each utterance was created by individual human contributors based on a given symptom. These audio snippets can be used to train conversational agents in the medical field. This Figure Eight… See the full description on the dataset page: https://huggingface.co/datasets/Hani89/medical_asr_recording_dataset.textautomatic-speech-recognition1K<n<10K11 likes182 downloads3y agoHugging Face02real-recordings /LibriReplay-DOA LibriReplay-DOA (Anonymous Submission) Overview LibriReplay-DOA is a multi-channel multi-speaker replay dataset designed for evaluating robust speech processing systems under realistic room playback conditions. The dataset contains replay recordings captured in real rooms under multiple playback configurations (DOA settings). Each session includes multiple overlapping speakers. This dataset is released for peer-review purposes. Dataset Structure The dataset… See the full description on the dataset page: https://huggingface.co/datasets/real-recordings/LibriReplay-DOA.audioautomatic-speech-recognition1K<n<10K1 likes10 downloads7mo agoHugging Face03KrugDen /Recording_reports_on_work_done Dataset Card for Dataset Name This dataset card aims to be a base template for new datasets. It has been generated using this raw template. Dataset Details Dataset Description Curated by: [More Information Needed] Funded by [optional]: [More Information Needed] Shared by [optional]: [More Information Needed] Language(s) (NLP): [More Information Needed] License: [More Information Needed] Dataset Sources [optional]… See the full description on the dataset page: https://huggingface.co/datasets/KrugDen/Recording_reports_on_work_done.audioautomatic-speech-recognitionn<1K0 likes5 downloads11mo agoHugging Face

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