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친구가 사탕을 줘서 고마웠다

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모니터 하단 - 검색창 - '캡처 도구' 검색

새 캡처 + 후

우측 상단에 다른 이름으로 저장

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Create your own ML-powered opera song! by David Li with Google Arts & Culture

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Music is for everyone. Play with simple experiments that let anyone, of any age, explore how music works.

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노래

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듣다보면 당신도 빠져든다다다ㅏㅏㅏㅏ

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애가 노랠 잘하는거야....

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동생이 나에게 슈크림빵을 주엇다<

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동생이 나에게 슈크림빵을 주엇다

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엄마가 학교까지 데려다 줬다

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엄마가 학교까지 데려다 줬다

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아빠가 용돈 주었을 떄

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엄마가 오랜만에 아침을 차려주셨다.

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엄마가 게임시간을 줬닿 그래서 기분이 좋다ㅏ

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엄마가 내가 갖고싶은 피규어를 사주셨다

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용돈

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돈을 받았다

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오빠가 나한태 꽃을 주는장면

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AI가을지는학생

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Create your own ML-powered opera song! by David Li with Google Arts & Culture

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오페라

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Blob Opera is a machine learning experiment by David Li in collaboration with Google Arts and Culture.
This experiment pays tribute to and explores the original musical instrument: the voice. Play four opera voices in real time. No singing skills required!

We developed a machine learning model trained on the voices of four opera singers in order to create an interactive experiment anyone can enjoy, regardless of musical skills.

Tenor, Christian Joel, bass Frederick Tong, mezzo-soprano Joanna Gamble and soprano Olivia Doutney recorded 16 hours of singing. In the experiment you don't hear their voices, but the machine learning model's understanding of what opera singing sounds like, based on what it learnt from them.

How it works:
Drag the blobs up and down to change pitch. Or forwards and backwards for different vowel sounds. Another machine learning model lets the blobs respond to and harmonise your input in real time.

With special thanks to:
Tenor Christian Joel, bass Frederick Tong, mezzo-soprano Joanna Gamble and soprano Olivia Doutney. Additional singing from Ingunn Gyda Hrafnkelsdottir and John Holland-Avery.

Blob Opera is an experiment using the latest web audio technology and may not perform optimally on older devices.

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Create your own ML-powered opera song! by David Li with Google Arts & Culture

# data[].attributes.body
기부니 좋타....

# data[].attributes.attachment_link.readable_text
Blob Opera is a machine learning experiment by David Li in collaboration with Google Arts and Culture.
This experiment pays tribute to and explores the original musical instrument: the voice. Play four opera voices in real time. No singing skills required!

We developed a machine learning model trained on the voices of four opera singers in order to create an interactive experiment anyone can enjoy, regardless of musical skills.

Tenor, Christian Joel, bass Frederick Tong, mezzo-soprano Joanna Gamble and soprano Olivia Doutney recorded 16 hours of singing. In the experiment you don't hear their voices, but the machine learning model's understanding of what opera singing sounds like, based on what it learnt from them.

How it works:
Drag the blobs up and down to change pitch. Or forwards and backwards for different vowel sounds. Another machine learning model lets the blobs respond to and harmonise your input in real time.

With special thanks to:
Tenor Christian Joel, bass Frederick Tong, mezzo-soprano Joanna Gamble and soprano Olivia Doutney. Additional singing from Ingunn Gyda Hrafnkelsdottir and John Holland-Avery.

Blob Opera is an experiment using the latest web audio technology and may not perform optimally on older devices.

# data[].attributes.attachment_link.description
Create your own ML-powered opera song! by David Li with Google Arts & Culture

# data[].attributes.body
오페라라라라

# data[].attributes.attachment_link.readable_text
Blob Opera is a machine learning experiment by David Li in collaboration with Google Arts and Culture.
This experiment pays tribute to and explores the original musical instrument: the voice. Play four opera voices in real time. No singing skills required!

We developed a machine learning model trained on the voices of four opera singers in order to create an interactive experiment anyone can enjoy, regardless of musical skills.

Tenor, Christian Joel, bass Frederick Tong, mezzo-soprano Joanna Gamble and soprano Olivia Doutney recorded 16 hours of singing. In the experiment you don't hear their voices, but the machine learning model's understanding of what opera singing sounds like, based on what it learnt from them.

How it works:
Drag the blobs up and down to change pitch. Or forwards and backwards for different vowel sounds. Another machine learning model lets the blobs respond to and harmonise your input in real time.

With special thanks to:
Tenor Christian Joel, bass Frederick Tong, mezzo-soprano Joanna Gamble and soprano Olivia Doutney. Additional singing from Ingunn Gyda Hrafnkelsdottir and John Holland-Avery.

Blob Opera is an experiment using the latest web audio technology and may not perform optimally on older devices.

# data[].attributes.attachment_link.description
Create your own ML-powered opera song! by David Li with Google Arts & Culture

# data[].attributes.attachment_link.description
Create your own ML-powered opera song! by David Li with Google Arts & Culture

# data[].attributes.attachment_link.description
Create your own ML-powered opera song! by David Li with Google Arts & Culture

# data[].attributes.attachment_link.description
Create your own ML-powered opera song! by David Li with Google Arts & Culture

# data[].attributes.attachment_link.description
Create your own ML-powered opera song! by David Li with Google Arts & Culture

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Our systems have detected unusual traffic from your computer network. This page checks to see if it’s really you sending the requests, and not a robot. Why did this happen?

# data[].attributes.attachment_link.description
Create your own ML-powered opera song! by David Li with Google Arts & Culture

# data[].attributes.attachment_link.readable_text
Blob Opera is a machine learning experiment by David Li in collaboration with Google Arts and Culture.
This experiment pays tribute to and explores the original musical instrument: the voice. Play four opera voices in real time. No singing skills required!

We developed a machine learning model trained on the voices of four opera singers in order to create an interactive experiment anyone can enjoy, regardless of musical skills.

Tenor, Christian Joel, bass Frederick Tong, mezzo-soprano Joanna Gamble and soprano Olivia Doutney recorded 16 hours of singing. In the experiment you don't hear their voices, but the machine learning model's understanding of what opera singing sounds like, based on what it learnt from them.

How it works:
Drag the blobs up and down to change pitch. Or forwards and backwards for different vowel sounds. Another machine learning model lets the blobs respond to and harmonise your input in real time.

With special thanks to:
Tenor Christian Joel, bass Frederick Tong, mezzo-soprano Joanna Gamble and soprano Olivia Doutney. Additional singing from Ingunn Gyda Hrafnkelsdottir and John Holland-Avery.

Blob Opera is an experiment using the latest web audio technology and may not perform optimally on older devices.

# data[].attributes.attachment_link.description
Create your own ML-powered opera song! by David Li with Google Arts & Culture

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330점!!

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또 330점?

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김진하

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540점!!