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Deeply Parent-Child Vocal Interaction Dataset

Summary

The interaction of 24 pairs of parent and child(total 48 speakers), such as , is recorded. The recordings took place in , which are an anechoic chamber, studio apartment, and dance studio, of which the level of reverberation differs. And in order to examine the effect of the distance of mic from the source and device, every experiment is recorded at with , iPhone X, and Galaxy S7.

There were a parent and his/her child in a group, and each group was distinguished by a unique key(subject ID). Two speakers(speaker a(parent), speaker b(child)) were sitting on the floor(purple area in the pictures below), and asked to do 3 types of interactions, singing children's song, reading fairy tales, and singing lullabies.

Studio Apartment	Dance studio	Anechoic Chamber
https://github.com/deeplyinc/Parent-Child-Vocal-Interaction-Dataset/blob/main/etc/StudioApartment.jpeg?raw=true" alt="Studio">	https://github.com/deeplyinc/Parent-Child-Vocal-Interaction-Dataset/blob/main/etc/DanceStudio.jpeg?raw=true" alt="Dacne studio">	https://github.com/deeplyinc/Parent-Child-Vocal-Interaction-Dataset/blob/main/etc/AnechoicChamber.jpeg?raw=true" alt="Studio">

Refer to the dataset descriptions in 'docs' for detailed description and statistics of the full set of the dataset.

The dataset is a subset(approximately 1%) of a much bigger dataset which were recorded under the same circumstances as these open source datasets. Please contact us(contact@deeplyinc.com) for the full set with the commercial license.

Dataset statistics

The illustrations below are the statistics about the Deeply Parent-Child Vocal Interaction Dataset. The first two are from the sample dataset, And the others are from the full dataset. To attain more insight about the dataset, please refer to the detailed description in 'docs' and 'Korea_Read_Speech_Corpus.json' in 'dataset'.

The sample is a partial set of recordings from a single subject group(sub3004), which consists of 39-year-old female(parent, speaker a) and 5-year-old male(child, speaker b).

https://github.com/deeplyinc/Parent-Child-Vocal-Interaction-Dataset/blob/main/etc/fig0.png?raw=true"> https://github.com/deeplyinc/Parent-Child-Vocal-Interaction-Dataset/blob/main/etc/fig1.png?raw=true">

https://github.com/deeplyinc/Parent-Child-Vocal-Interaction-Dataset/blob/main/etc/fig2.png?raw=true"> https://github.com/deeplyinc/Parent-Child-Vocal-Interaction-Dataset/blob/main/etc/fig3.png?raw=true">

https://github.com/deeplyinc/Parent-Child-Vocal-Interaction-Dataset/blob/main/etc/fig4.png?raw=true"> https://github.com/deeplyinc/Parent-Child-Vocal-Interaction-Dataset/blob/main/etc/fig5.png?raw=true">

Structure

├── dataset
│  ├── AirbnbStudio
│  │  ├── sub30040a00000.wav
│  |  └── ...
│  ├── AnechoicChamber
│  │  ├── sub30042a00000.wav
│  |  └── ...
│  └── DanceStudio
│    ├── sub30041a00000.wav
│    └── ...
└── docs
  ├── Deeply Parent-Child Vocal Interaction Dataset_Eng.pdf
  └── Deeply Parent-Child Vocal Interaction Dataset_Kor.pdf

Parent_Child_Vocal_Interaction.json

{'AirbnbStudio': 
        {'sub30040a00000': {'label': 2,
                  'subjectID': 'sub3004',
                  'speaker': 'a',
                  'age': 39,
                  'sex': 0,
                  'noise': 0,
                  'location': 0,
                  'distance': 0,
                  'device': 0,
                  'rms': 0.005859313067048788,
                  'length': 1.521},
         ...
         },
...
}

How to decode

label: {speaker a(parent): {0: singing, 1: reading, 2: other utterances},
speaker b(child): {0: singing, 1: reading, 2: crying, 3: refusing, 4: other utterances}}

Subject ID: Unique 'sub + 4-digit' key allocated to each subject group

Speaker: unique key allocated to each indiivdual in the subject group.

Sex: {0: Female, 1: Male}

Noise: {0: Noiseless, 1: Indoor noise, 2: Outdoor noise, 3: Both indoor/outdoor noise}

Location:...

The global smartphone penetration in was forecast to continuously increase between 2024 and 2029 by in total 20.3 percentage points. After the fifteenth consecutive increasing year, the penetration is estimated to reach 74.98 percent and therefore a new peak in 2029. Notably, the smartphone penetration of was continuously increasing over the past years.The penetration rate refers to the share of the total population.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the smartphone penetration in countries like North America and the Americas.

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