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Creating a novel dataset to improve the SOTA in co-speech gesture prediction in two ways (1) personalizing gesture generation to a specific speaker (2) showing mental state influences gesture generation

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deniz-birlikci/co-speech-gesture-dataset

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Data_Processing_Pipeline.ipynb
Data_Processing_Pipeline.ipynb
 
 
README.md
README.md
 
 
[Research]_YouTube_Scraper.ipynb
[Research]_YouTube_Scraper.ipynb
 
 
audio_clipping.py
audio_clipping.py
 
 
audio_diarization.py
audio_diarization.py
 
 
audio_retrieval.py
audio_retrieval.py
 
 
audio_transcriber.py
audio_transcriber.py
 
 
check_status.py
check_status.py
 
 
gpu_availability.py
gpu_availability.py
 
 
landmark.py
landmark.py
 
 
mediapipe_gpu.sh
mediapipe_gpu.sh
 
 
pipeline.py
pipeline.py
 
 
requirements.txt
requirements.txt
 
 
run_job.sbatch
run_job.sbatch
 
 
segment_and_transcribe.py
segment_and_transcribe.py
 
 
test_landmark.py
test_landmark.py
 
 
test_script.py
test_script.py
 
 
transcriber_script.py
transcriber_script.py
 
 
video_landmarker.py
video_landmarker.py
 
 
video_landmarker_with_log.py
video_landmarker_with_log.py
 
 

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co-speech-gesture-dataset

Creating a novel dataset to improve the SOTA in co-speech gesture prediction in two ways (1) personalizing gesture generation to a specific speaker (2) showing mental state influences gesture generation

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Creating a novel dataset to improve the SOTA in co-speech gesture prediction in two ways (1) personalizing gesture generation to a specific speaker (2) showing mental state influences gesture generation

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