EmotionalConversionStarGAN
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glam-imperial
This repository contains code to replicate results from the ICASSP 2020 paper "StarGAN for Emotional Speech Conversion: Validated by Data Augmentation of End-to-End Emotion Recognition".
I have run this code and planed to covert some samples,but I found the converted audios were noisy. Because I didn't change the code,so does "" mean "./checkpoints/model_step2/30000",when perform conversion.
Hello. I ran the same code as the dataset, but I have a problem with the pronunciation part. Unlike the example voice you uploaded, your pronunciation is crushed and you...
Traceback (most recent call last): File "/disk2/zhh/EmotionalConversionStarGAN-master/run_preprocessing.py", line 214, in run_preprocessing(args) File "/disk2/zhh/EmotionalConversionStarGAN-master/run_preprocessing.py", line 199, in run_preprocessing generate_world_features(audio_filenames, data_dir) File "/disk2/zhh/EmotionalConversionStarGAN-master/run_preprocessing.py", line 87, in generate_world_features wav, labels = get_wav_and_labels(f, data_dir)...
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This repository contains code to replicate results from the ICASSP 2020 paper "StarGAN for Emotional Speech Conversion: Validated by Data Augmentation of End-to-End Emotion Recognition".