annotations_creators:
- expert-generated
language:
- en
license: cc-by-nc-4.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
task_categories:
- audio-classification
pretty_name: TESS
dataset_info:
features:
- name: path
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 24400
- name: speaker_id
dtype: string
- name: speaker_age
dtype: int8
- name: text
dtype: string
- name: word
dtype: string
- name: label
dtype:
class_label:
names:
'0': neutral
'1': happy
'2': sad
'3': angry
'4': fear
'5': disgust
'6': ps
splits:
- name: train
num_bytes: 1027470
num_examples: 2800
download_size: 224036453
dataset_size: 1027470
Dataset Card for Toronto emotional speech set (TESS)
Dataset Description
- Homepage: https://doi.org/10.5683/SP2/E8H2MF
- Point of Contact: Pichora-Fuller, M. Kathleen (University of Toronto Mississauga)
Dataset Summary
These stimuli were modeled on the Northwestern University Auditory Test No. 6 (NU-6; Tillman & Carhart, 1966). A set of 200 target words were spoken in the carrier phrase "Say the word _____' by two actresses (aged 26 and 64 years) and recordings were made of the set portraying each of seven emotions (anger, disgust, fear, happiness, pleasant surprise, sadness, and neutral). There are 2800 stimuli in total. Two actresses were recruited from the Toronto area. Both actresses speak English as their first language, are university educated, and have musical training. Audiometric testing indicated that both actresses have thresholds within the normal range. (2010-06-21)
Languages
English
Dataset Structure
Data Instances
{
'path': '.../.cache/huggingface/datasets/downloads/extracted/.../tess/OAF_back_angry.wav',
'audio': {
'path': '.../.cache/huggingface/datasets/downloads/extracted/.../tess/OAF_back_angry.wav',
'array': array([
-1.35336370e-06,
-1.84488497e-04,
-2.73496640e-04,
1.40174336e-04,
8.33026352e-05,
0.00000000e+00
]),
'sampling_rate': 24400
},
'speaker_id': 'OAF',
'text': 'back',
'label': 3
}
Usage
This repo uses custom code which must be executed to correctly load the dataset. You can, and should, inspect the loading script.
from datasets import load_dataset
dataset = load_dataset("myleslinder/tess", split="train", trust_remote_code=True)
Additional Information
Citation Information
@data{SP2/E8H2MF_2020,
author = {Pichora-Fuller, M. Kathleen and Dupuis, Kate},
publisher = {Borealis},
title = {{Toronto emotional speech set (TESS)}},
year = {2020},
version = {DRAFT VERSION},
doi = {10.5683/SP2/E8H2MF},
url = {https://doi.org/10.5683/SP2/E8H2MF}
}