datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Pathological-child-voice
Speech Dataset for AI-Based Language Assessment in Children
The "Speech Database of Typically Developing and Speech-Impaired Children" is an open speech dataset designed to support the development of AI-based language assessment systems. It contains speech samples from children aged 2 to 9 who are either typically developing or have reduced consonant articulation accuracy.
This dataset is based on standardized Korean articulation tools:
APAC (Articulation and Phonology… See the full description on the dataset page: https://huggingface.co/datasets/K-University-AIED/Pathological-child-voice.Damascus_University_Audiokorean_monosyllabic_speech
Korean Monosyllabic Speech Perception Test Dataset
「Korean Monosyllabic Speech Perception Test Database」set is an open speech dataset created for evaluating monosyllables (meaningless, meaningful) and researching error patterns in elderly individuals with mild to moderate hearing loss. This dataset selected only monosyllables with a correct response rate of 80~100% out of 3192 possible Korean consonant-vowel combination sounds.
The dataset is distributed under the CC BY NC ND 4.0… See the full description on the dataset page: https://huggingface.co/datasets/K-University-AIED/korean_monosyllabic_speech.hallym_AI_OpenDataset
Hallym Adult and Child Speech Dataset
This dataset contains speech recordings and transcriptions collected from adult and child speakers for AI-based speech and language research.
Dataset Overview
Total Records: 2,714
Speakers: 49 (adult: 25, child: 24)
Groups: adult, child
File Format: WAV (audio) + TXT (transcription)
Speaker Statistics
Group
Count
Gender
Age Range
Adult
25명
남/여
50~78세
Child
24명
남/여
3~8세
Dataset Fields… See the full description on the dataset page: https://huggingface.co/datasets/K-University-AIED/hallym_AI_OpenDataset.Damascus_University_Audio_ShahedDamascus_University_Audio_MahdiDamascus_University_Audio_Danialkorea-university-lecture