set_id
string
euphoric
audio
joyfully
audio
sad
audio
surprised
audio
text
string
gender
string
age
int8
18
42
country
string
"00026029e0--64991b6eef1fe70609d48edc"
"The delicious aroma of freshly baked bread filled the bakery."
"MALE"
29
"ZA"
"00026029e0--64991b72e0daf97163c09c66"
"I enjoy taking long walks in the peaceful countryside."
"FEMALE"
42
"NG"
"00026029e0--64991b7fd94c0d5726dec353"
"The suspenseful novel kept me on the edge of my seat."
"FEMALE"
29
"VN"
"00026029e0--64991b907f82d9763944eba2"
"They celebrated their anniversary with a romantic candlelit dinner."
"FEMALE"
20
"PK"
"00026029e0--64991bf2ffab6240f9f2418b"
"The diligent student earned top marks for her exceptional work."
"MALE"
30
"PK"
"00026029e0--64991bfc63d8b20f56d0e1fb"
"The rhythmic beat of the drums echoed through the concert hall."
"MALE"
18
"IN"
"00026029e0--64991c0dd94c0d5726df032a"
"The curious child eagerly explored the vast museum exhibits."
"MALE"
21
"MX"
"00026029e0--64991c3e63d8b20f56d0eeba"
"The innovative design of the new smartphone impressed tech enthusiasts."
"FEMALE"
20
"PK"
"00026029e0--64991c9e7f82d97639452402"
"The innovative design of the new smartphone impressed tech enthusiasts."
"MALE"
34
"NG"
"00026029e0--64992031e0daf97163c20229"
"The breathtaking view from the mountaintop took my breath away."
"FEMALE"
31
"KE"
"00026029e0--64992044d94c0d5726dfffc7"
"His charismatic personality made him a natural leader among his peers."
"FEMALE"
24
"KE"
"00026029e0--6499205bea5ed167d5bc8a8c"
"The delicious aroma of freshly baked bread filled the bakery."
"FEMALE"
22
"KE"
"00026029e0--64992099ffab6240f9f3521f"
"The vibrant colors of the sunset painted the sky with beauty."
"MALE"
19
"MY"
"00026029e0--649920f4ffab6240f9f3677a"
"The heartfelt apology melted away the tension in the room."
"MALE"
21
"KE"
"00026029e0--64992143ffab6240f9f3787a"
"She wore a stunning gown that dazzled everyone at the party."
"FEMALE"
30
"KE"
"00026029e0--64992161e0daf97163c2535a"
"They celebrated their anniversary with a romantic candlelit dinner."
"MALE"
20
"PK"
"00026029e0--6499219aea5ed167d5bccf6f"
"The curious child eagerly explored the vast museum exhibits."
"FEMALE"
22
"KE"
"00026029e0--64992202ea5ed167d5bce5d3"
"The starry night sky filled their hearts with a sense of wonder."
"FEMALE"
31
"KE"
"00026029e0--6499226eef1fe70609d66276"
"The athlete's dedication and hard work led to her victory."
"MALE"
20
"PK"
"00026029e0--6499261299d64c4c5d32c8e2"
"The talented musician captivated the audience with his mesmerizing performance."
"FEMALE"
22
"NG"

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/data-market 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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