Datasets:
				
			
			
	
			
			
	
		
		
		Training Data
		
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    | @@ -59,7 +59,7 @@ The dataset is labeled and organized based on the emotion expressed in each audi | |
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            ### This is just an example of the data
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            Leave a request on [**https://trainingdata.pro/ | 
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            # Content
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            # Audio with emotions might be collected in accordance with your requirements.
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            ## [TrainingData](https://trainingdata.pro/ | 
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            More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**
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            TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**
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            ### This is just an example of the data
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            Leave a request on [**https://trainingdata.pro/datasets**](https://trainingdata.pro/datasets?utm_source=huggingface&utm_medium=cpc&utm_campaign=speech-emotion-recognition-dataset) to discuss your requirements, learn about the price and buy the dataset.
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            # Content
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            # Audio with emotions might be collected in accordance with your requirements.
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            ## [TrainingData](https://trainingdata.pro/datasets?utm_source=huggingface&utm_medium=cpc&utm_campaign=speech-emotion-recognition-dataset) provides high-quality data annotation tailored to your needs
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            More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**
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            TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**
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            *keywords: voice assistants speech processing, ser, audio signals, artificial intelligence, ai, emotion recognition, emotional data, recognize human emotions, conversational analytics, speech features, computational paralinguistics, dataset, speech-to-text dataset, speech recognition dataset, audio dataset, automatic speech recognition dataset, voice dataset, human speech recognition, audio recording of human voices, speech recognition russian, stt/asr, deep speech, deep learning, machine learning, human-labeled sound, sound vocabulary, voice dataset, audio data*
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