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Deeply Parent-Child Vocal Interaction Dataset - AI & ML Training Da...
Deeply Parent-Child Vocal Interaction Dataset - AI & ML Training Data, South ...
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Deeply Parent-Child Vocal Interaction Dataset - AI & ML Training Data, South Korea

Deeply
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Volume
360K
records
Data Quality
95%
Accuracy
Avail. Formats
.json and .csv
File
Coverage
1
Country

Description

The parent-child vocal interaction, such as reading fairy tales, singing children’s songs, conversing, is recorded. Recorded at 3 types of places, of which the level of reverberation differs. Also, the experiment was designed to examine the effect of the distance from the source and the device.
□ Recording contents A parent and his/her child interacting(singing children’s songs, reading fairytales, conversing, …) □ Recording environments Anechoic Chamber (no reverb), Studio apartment (moderate reverb), Dance studio (high reverb) □ Device iPhone X (iOS), Samsung Galaxy S7 (Android) □ Distance from the source 0.4m, 2.0m, 4.0m □ Volume ~ 282 hours, ~ 360,000 utterances, ~ 109 GB □ Format wav(44100Hz, 16-bit, mono), or h5(16000Hz, 16-bit, mono) □ Language Korean □ Demographics 24 parents, with 17% males and 83% females, and 12.5% parents are in 20s, 62.5% in 30s, and 25% in 40s. 24 children, with 46% males and 54% females, and 21% children are in the age group of 1-2, 54% in 3-4, and 25% in 5-6. The interaction of 24 pairs of parent and child(total 48 speakers), such as reading fairy tales, singing children’s songs, conversing, and others, is recorded. The recordings took place in 3 different types of places, 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 3 distinct distances with 
2 types of smartphone, iPhone X, and Galaxy S7. The Family interaction dataset consists of 281.3 hours of audio clips of the different types of interactions between a parent and his/her child. The participants are encouraged to record repetitively in all 3 types of place (anechoic chamber, studio apartment, dance studio), and every recording is conducted systematically at 3 ordinal distances(0.4m, 2.0m, 4.0m) with 2 types of device(iPhone X and Galaxy S7). The dataset also includes metadata such as a speaker, age, sex, noise, type of place, distance, and device. The type of utterances is categorized as follow: that of the parents is categorized into 3 groups, ‘singing’, ‘reading’, and ‘other utterances’, the singing category includes singing a children’s song and a lullaby, and other utterances literally contain all the other utterances than reading and singing, mostly spontaneous speech with his/her child. However, that of children is categorized into 5 groups, ‘singing’, ‘reading’, ‘crying', ‘refusing', and ‘other utterances’. Children’s singing category also includes singing a children’s song and a lullaby, refusing is an utterance caused when the children didn’t like the subject, wanted to do different stuff, or so, and other utterances are same as the parents. The impulse responses of each type of place are available upon request.

Geography

Asia (1)
Korea (Republic of)

Volume

360,000 records
232 Hours of Audio
109 GB

Pricing

Free sample available
Deeply has not published pricing information for this product yet. You can request detailed pricing information below.
Request detailed pricing

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Quality

Self-reported by the provider
95%
Accuracy

Delivery

Frequency
on-demand
Format
.json
.csv

Use Cases

Artificial Intelligence (AI)
Machine Learning (ML)
Automatic Speech Recognition
Room Acoustics
Dereverberation

Categories

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Frequently asked questions

What is Deeply Parent-Child Vocal Interaction Dataset - AI & ML Training Data, South Korea?

The parent-child vocal interaction, such as reading fairy tales, singing children’s songs, conversing, is recorded. Recorded at 3 types of places, of which the level of reverberation differs. Also, the experiment was designed to examine the effect of the distance from the source and the device.

What is Deeply Parent-Child Vocal Interaction Dataset - AI & ML Training Data, South Korea used for?

This product has 5 key use cases. Deeply recommends using the data for Artificial Intelligence (AI), Machine Learning (ML), Automatic Speech Recognition, Room Acoustics, and Dereverberation. Global businesses and organizations buy AI & ML Training Data from Deeply to fuel their analytics and enrichment.

Who can use Deeply Parent-Child Vocal Interaction Dataset - AI & ML Training Data, South Korea?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for AI & ML Training Data. Get in touch with Deeply to see what their data can do for your business and find out which integrations they provide.

Which countries does Deeply Parent-Child Vocal Interaction Dataset - AI & ML Training Data, South Korea cover?

This product includes data covering 1 country like South Korea. Deeply is headquartered in Korea (Republic of).

How much does Deeply Parent-Child Vocal Interaction Dataset - AI & ML Training Data, South Korea cost?

Pricing information for Deeply Parent-Child Vocal Interaction Dataset - AI & ML Training Data, South Korea is available by getting in contact with Deeply. Connect with Deeply to get a quote and arrange custom pricing models based on your data requirements.

How can I get Deeply Parent-Child Vocal Interaction Dataset - AI & ML Training Data, South Korea?

Depending on your data requirements and subscription budget, Deeply can deliver this product in .json and .csv format.

What is the data quality of Deeply Parent-Child Vocal Interaction Dataset - AI & ML Training Data, South Korea?

Deeply has reported that this product has the following quality and accuracy assurances: 95% Accuracy. You can compare and assess the data quality of Deeply using Datarade’s data marketplace.

What are similar products to Deeply Parent-Child Vocal Interaction Dataset - AI & ML Training Data, South Korea?

This Tabular Data has 3 related products. These alternatives include Nexdata Multilingual Children Speech Data 10,000 Hours AI & ML Training Data Speech Recognition Data Audio Data, Pixta AI Imagery Data Global 10,000 Stock Images Annotation and Labelling Services Provided Traffic scenes from low view for AI & ML, and 30000 Images+ Face Detection Dataset Facial Features Metadata Face Recognition & Analysis. You can compare the best AI & ML Training Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request

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