The dataset viewer is not available for this dataset.
Error code: ConfigNamesError
Exception: RuntimeError
Message: Dataset scripts are no longer supported, but found speech-emotion-recognition-dataset.py
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
config_names = get_dataset_config_names(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
dataset_module = dataset_module_factory(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1031, in dataset_module_factory
raise e1 from None
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 989, in dataset_module_factory
raise RuntimeError(f"Dataset scripts are no longer supported, but found {filename}")
RuntimeError: Dataset scripts are no longer supported, but found speech-emotion-recognition-dataset.pyNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Emotions on Audio Dataset
The audio dataset consists of a collection of texts spoken with four distinct emotions. These texts are spoken in English and represent four different emotional states: euphoria, joy, sadness and surprise. Each audio clip captures the tone, intonation, and nuances of speech as individuals convey their emotions through their voice.
The dataset includes a diverse range of speakers, ensuring variability in age, gender, and cultural backgrounds, allowing for a more comprehensive representation of the emotional spectrum.
The dataset is labeled and organized based on the emotion expressed in each audio sample, making it a valuable resource for emotion recognition and analysis. Researchers and developers can utilize this dataset to train and evaluate machine learning models and algorithms, aiming to accurately recognize and classify emotions in speech.
The audio dataset also provides an opportunity for various applications:
- sentiment analysis
- automatic emotion detection
- emotional speech synthesis.
- voice assistants
- customer service
- mental health analysis
- entertainment industries
Get the dataset
This is just an example of the data
Leave a request on https://trainingdata.pro/datasets to discuss your requirements, learn about the price and buy the dataset.
Content
- files: includes folders corresponding to people and containing text spoken in English in 4 different manners: euphoric, joyfully, sad and surprised
- .csv file: contains information about people in the dataset
File with the extension .csv
includes the following information for each set of media files:
- set_id: link to the set of audio files,
- text: text spoken in the audio set,
- gender: gender of the person,
- age: age of the person,
- country: country of the person
Audio with emotions might be collected in accordance with your requirements.
TrainingData
More datasets in TrainingData's Kaggle account: https://www.kaggle.com/trainingdatapro/datasets
TrainingData's GitHub: https://github.com/Trainingdata-datamarket/TrainingData_All_datasets
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