User: Hello
Agent: say(speaker="navigator", utterance="Hi")
User: Please provide me with the latest three journals from Bioacoustics on PlosOne.
Agent: say(speaker="navigator", utterance="Sure")
Agent: load(url="https://www.google.com/search?q=plos+one&rlz=1C1UEAD_enIN1020IN1020&oq=plos+one&aqs=chrome..69i57j0i512j0i131i433i512j0i512l7.8915j0j4&sourceid=chrome&ie=UTF-8")
Agent: click(x=900, y=207, tag="button", attrs={})
Agent: click(x=474, y=475, tag="a", attrs={})
Agent: click(x=636, y=585, tag="a", attrs={})
Agent: click(x=762, y=368, tag="a", attrs={})
Agent: click(x=192, y=416, tag="div", attrs={})
Agent: copy(text="An automatic music generation and evaluation method based on transfer learning")
Agent: scroll(x=0, y=129)
Agent: click(x=186, y=436, tag="div", attrs={})
Agent: click(x=123, y=396, tag="body", attrs={})
Agent: copy(text="Intelligent auxiliary system for music performance under edge computing and long short-term recurrent neural networks")
Agent: click(x=197, y=587, tag="div", attrs={})
Agent: copy(text="The influence of executive functions on eye-hand span and piano performance during sight-reading")
Agent: say(speaker="navigator", utterance="Here are the journals:\n\t1. An automatic music generation and evaluation method based on transfer learning\n\t2. Intelligent auxiliary system for music performance under edge computing and long short-...")
User: Open the second one.
Agent: say(speaker="navigator", utterance="Okay")
Agent: click(x=387, y=444, tag="a", attrs={})
User: Who is the author?
Agent: copy(text="Yi Wang ")
Agent: say(speaker="navigator", utterance="Yi Wang")
User: What is the published date?
Agent: click(x=185, y=498, tag="li", attrs={})
Agent: copy(text="Published: May 8, 2023\n")
Agent: say(speaker="navigator", utterance="Published: May 8, 2023")
User: Please provide me with the summary of the Conclusion.
Agent: say(speaker="navigator", utterance="Sure")
Agent: click(x=246, y=373, tag="a", attrs={})
Agent: tabswitch(origin=2011629575, target=2011629577)
Agent: scroll(x=0, y=456)
[[tag]] li
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[[text]] This paper focuses on the problem of motion generation in music performances.
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[[text]] 
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[[text]] 
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[[text]] 
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[[text]] 
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[[text]] 
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[[children]] div [[tag]] div
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[[attributes]] tabindex='0' class='gb_d' aria-expanded='false' role='button' aria-label='Google apps' data-webtasks-id='d433e4d5-78e6-4fdf' href='https://www.google.co.in/intl/en/about/products'
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[[text]] 
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[[text]]  Reset chat 
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[[text]] history
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[[text]]  Bard Activity 
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[[text]]  FAQ 
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[[text]]  Updates 
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[[text]] 
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[[children]] mat-icon span [[tag]] mat-icon
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[[text]] sms_failed
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[[text]] 
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[[xpath]] /html/body/chat-app/side-navigation/mat-sidenav-container/mat-sidenav/div/mat-nav-list/button[3]/span/span[1]
[[text]]  Help 
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[[text]] 
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[[text]] 
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[[text]] dark_mode
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[[text]] 
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[[text]] 
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[[text]] circle
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[[xpath]] /html/body/chat-app/side-navigation/mat-sidenav-container/mat-sidenav/div/mat-nav-list/location-footer/div/div
[[text]] 
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[[xpath]] /html/body/chat-app/side-navigation/mat-sidenav-container/mat-sidenav/div/mat-nav-list/location-footer/div/div/span[1]
[[text]] 
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[[xpath]] /html/body/chat-app/side-navigation/mat-sidenav-container/mat-sidenav/div/mat-nav-list/location-footer/div/div/span[1]/span[1]
[[text]]  Vasai-Virar, Maharashtra, India 
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[[xpath]] /html/body/chat-app/side-navigation/mat-sidenav-container/mat-sidenav/div/mat-nav-list/location-footer/div/div/span[1]/span[2]
[[text]]  From your IP address 
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[[xpath]] /html/body/chat-app/side-navigation/mat-sidenav-container/mat-sidenav/div/mat-nav-list/location-footer/div/div/span[2]
[[text]]  • 
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[[children]]  [[tag]] span
[[xpath]] /html/body/chat-app/side-navigation/mat-sidenav-container/mat-sidenav/div/mat-nav-list/location-footer/div/div/span[3]
[[text]]  Update location 
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[[text]] 
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[[text]] 
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[[children]] router-outlet chat-window [[tag]] chat-window
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[[text]] 
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[[text]] 
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[[children]] user-query model-response [[tag]] user-query
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[[text]] 
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[[text]] 
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[[text]] 
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[[children]] h2 [[tag]] h2
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[[text]] This paper focuses on the problem of motion generation in music performances. The rhythm of music ...neration of intelligent and humanized music performance actions.

Summarize the above in few lines.
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[[text]] 
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[[text]] 
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[[children]] mat-expansion-panel [[tag]] mat-expansion-panel
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[[text]] 
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[[children]] mat-expansion-panel-header div [[tag]] mat-expansion-panel-header
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[[text]] 
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[[text]] 
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[[children]] mat-panel-title [[tag]] mat-panel-title
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[[text]] 
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[[children]] span [[tag]] span
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[[text]] 
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[[children]] span span [[tag]] span
[[xpath]] /html/body/chat-app/side-navigation/mat-sidenav-container/mat-sidenav-content/main/chat-window/div[1]/div[1]/div/div/model-response/div/response-container/div/div[1]/mat-expansion-panel/mat-expansion-panel-header/span[1]/mat-panel-title/span/span[1]
[[text]]  View other drafts 
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[[children]]  [[tag]] span
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[[text]] 
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[[children]]  [[tag]] div
[[xpath]] /html/body/chat-app/side-navigation/mat-sidenav-container/mat-sidenav-content/main/chat-window/div[1]/div[1]/div/div/model-response/div/response-container/div/div[1]/mat-expansion-panel/div/div
[[text]] 
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[[children]] div [[tag]] div
[[xpath]] /html/body/chat-app/side-navigation/mat-sidenav-container/mat-sidenav-content/main/chat-window/div[1]/div[1]/div/div/model-response/div/response-container/div/div[1]/mat-expansion-panel/div/div/div
[[text]] 
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[[children]] button [[tag]] button
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[[text]] 
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[[text]] 
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[[children]]  [[tag]] span
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[[text]] 
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[[attributes]] class='mdc-button__label' data-webtasks-id='b47de7b4-d2ce-4add'
[[children]] div span [[tag]] span
[[xpath]] /html/body/chat-app/side-navigation/mat-sidenav-container/mat-sidenav-content/main/chat-window/div[1]/div[1]/div/div/model-response/div/response-container/div/div[1]/mat-expansion-panel/div/div/div/button[1]/span[2]/span
[[text]] 
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[[children]] span [[tag]] span
[[xpath]] /html/body/chat-app/side-navigation/mat-sidenav-container/mat-sidenav-content/main/chat-window/div[1]/div[1]/div/div/model-response/div/response-container/div/div[1]/mat-expansion-panel/div/div/div/button[1]/span[2]/span/span
[[text]]  Draft 1 
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[[children]]  [[tag]] message-content
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[[text]] 
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[[children]] div [[tag]] div
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[[text]] 
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[[text]] Sure, here is the summary of the paper:
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[[text]] 

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[[text]] This paper focuses on the problem of motion generation in music performances.
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[[text]] A new network model is constructed based on the attention mechanism and the long and short-term RNN.
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[[text]] The model is trained and tested on videos from Music&Dance2019.
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[[text]] The results show that the model can generate harmonious and rich performance action sequences.
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[[text]] However, the model still needs further improvement in terms of music beat recognition, dance move smoothness, database matching, and action character design.
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[[text]] This research is expected to contribute to the development of intelligent and humanized music performance actions.
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[[text]] Here are some additional details:
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[[text]] 
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[[text]] 
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[[text]] 
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[[text]] 
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[[text]] 
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[[text]]  Draft 2 
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[[text]] 
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[[text]] 
[[bbox]] x=677 y=167 width=226 height=96
[[attributes]] _ngcontent-ng-c2447686168='' dir='ltr' class='markdown' data-webtasks-id='525ad743-73f6-48e2'
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[[text]] Sure, here is a summary of the paper:
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[[text]] 

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[[text]] The paper proposes a new network model for motion generation in music performances.
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[[text]] The model is based on the attention mechanism and the long and short-term RNN.
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[[text]] The model is trained and tested on videos from the Music&Dance2019 dataset.
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[[text]] The results show that the model can generate harmonious and rich performance action sequences.
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[[attributes]] data-webtasks-id='88890f9a-a513-4291'
[[children]]  [[tag]] li
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[[text]] However, the model still has some limitations, such as the recognition of music beats and the design of dance moves.
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[[text]] The authors hope that future research can address these limitations and improve the performance of the model.
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[[text]] Here are some additional details about the paper:
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[[text]] 
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[[text]] 
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[[text]] 
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[[text]] 
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[[text]] 
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[[text]] 
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[[text]]  Draft 3 
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[[children]]  [[tag]] message-content
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[[text]] 
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[[attributes]] _ngcontent-ng-c772920666='' _nghost-ng-c2447686168='' aria-hidden='true' data-webtasks-id='85e232a5-ed38-423c' class='model-response-preview-text'
[[children]] div [[tag]] div
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[[text]] 
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[[attributes]] _ngcontent-ng-c2447686168='' dir='ltr' class='markdown' data-webtasks-id='01dd0e61-a13a-4059'
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[[text]] Sure, here is a summary of the paper in a few lines:
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[[text]] 

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[[children]] li li [[tag]] li
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[[text]] The paper focuses on the problem of motion generation in music performances.
[[bbox]] x=989 y=231 width=190 height=48
[[attributes]] data-webtasks-id='c4e54f7d-911d-41bd'
[[children]]  [[tag]] li
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[[text]] A new network model is constructed based on the attention mechanism and the long and short-term RNN.
[[bbox]] x=989 y=289 width=190 height=64
[[attributes]] data-webtasks-id='bf2312d2-a68b-44eb'
[[children]]  [[tag]] li
[[xpath]] /html/body/chat-app/side-navigation/mat-sidenav-container/mat-sidenav-content/main/chat-window/div[1]/div[1]/div/div/model-response/div/response-container/div/div[1]/mat-expansion-panel/div/div/div/button[3]/span[2]/message-content/div/ul/li[3]
[[text]] The model is trained and tested on videos from Music&Dance2019.
[[bbox]] x=989 y=363 width=190 height=48
[[attributes]] data-webtasks-id='bf07818b-71fb-4377'
[[children]]  [[tag]] li
[[xpath]] /html/body/chat-app/side-navigation/mat-sidenav-container/mat-sidenav-content/main/chat-window/div[1]/div[1]/div/div/model-response/div/response-container/div/div[1]/mat-expansion-panel/div/div/div/button[3]/span[2]/message-content/div/ul/li[4]
[[text]] The results show that the model can generate harmonious and rich performance action sequences.
[[bbox]] x=989 y=421 width=190 height=48
[[attributes]] data-webtasks-id='171d9962-5160-4bfd'
[[children]]  [[tag]] li
[[xpath]] /html/body/chat-app/side-navigation/mat-sidenav-container/mat-sidenav-content/main/chat-window/div[1]/div[1]/div/div/model-response/div/response-container/div/div[1]/mat-expansion-panel/div/div/div/button[3]/span[2]/message-content/div/ul/li[5]
[[text]] However, the research content is still limited and needs further improvement.
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[[text]] Future research should focus on improving the recognition of music beats, making the dance moves more smooth and varied, and establishing a database of dance moves to match with music.
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[[text]] 
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[[text]] 
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[[text]] 
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[[text]] refresh
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[[text]] 
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[[text]] 
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[[text]] 
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[[text]] 
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[[text]] 
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[[text]] 
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[[text]] 
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[[text]] 
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[[text]] Sure, here is the summary of the paper:
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[[text]] 

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[[text]] A new network model is constructed based on the attention mechanism and the long and short-term RNN.
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[[text]] The model is trained and tested on videos from Music&Dance2019.
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[[text]] The results show that the model can generate harmonious and rich performance action sequences.
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[[text]] However, the model still needs further improvement in terms of music beat recognition, dance move smoothness, database matching, and action character design.
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[[text]] This research is expected to contribute to the development of intelligent and humanized music performance actions.
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[[text]] Here are some additional details:
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[[text]] 

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[[text]] The new network model uses an attention mechanism to focus on important parts of the music. This helps the model to generate actions that are more consistent with the music.
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[[text]] The long and short-term RNN is used to learn the temporal relationships between actions. This helps the model to generate smooth and natural-looking sequences of actions.
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[[text]] The model was trained on a dataset of videos from Music&Dance2019. This dataset contains a variety of music styles and dance moves.
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[[text]] 
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[[text]] 
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[[text]] 
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[[text]] 
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[[text]] 
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[[text]] 
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[[text]] mic
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[[children]]  [[tag]] mat-icon
[[xpath]] /html/body/chat-app/side-navigation/mat-sidenav-container/mat-sidenav-content/main/chat-window/div[1]/div[2]/input-area/div/div/button/mat-icon
[[text]] send_spark
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[[children]]  [[tag]] span
[[xpath]] /html/body/chat-app/side-navigation/mat-sidenav-container/mat-sidenav-content/main/chat-window/div[1]/div[2]/input-area/div/div/button/span[2]
[[text]] 
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[[children]]  [[tag]] span
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[[text]] 
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[[children]]  [[tag]] div
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[[text]] 
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[[children]] p [[tag]] p
[[xpath]] /html/body/chat-app/side-navigation/mat-sidenav-container/mat-sidenav-content/main/chat-window/div[1]/div[3]/p
[[text]]  Bard may display inaccurate or offensive information that doesn’t represent Google’s views. 
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[[children]] 
user
Hello
agent
say(speaker="navigator", utterance="Hi")
user
Please provide me with the latest three journals from Bioacoustics on PlosOne.
agent
say(speaker="navigator", utterance="Sure")
agent
load(url="https://www.google.com/search?q=plos+one&rlz=1C1UEAD_enIN1020IN1020&oq=plos+one&aqs=chrome..69i57j0i512j0i131i433i512j0i512l7.8915j0j4&sourceid=chrome&ie=UTF-8")
agent
click(x=900, y=207, tag="button", attrs={})
agent
click(x=474, y=475, tag="a", attrs={})
agent
click(x=636, y=585, tag="a", attrs={})
agent
click(x=762, y=368, tag="a", attrs={})
agent
click(x=192, y=416, tag="div", attrs={})
agent
copy(text="An automatic music generation and evaluation method based on transfer learning")
agent
scroll(x=0, y=129)
agent
click(x=186, y=436, tag="div", attrs={})
agent
click(x=123, y=396, tag="body", attrs={})
agent
copy(text="Intelligent auxiliary system for music performance under edge computing and long short-term recurrent neural networks")
agent
click(x=197, y=587, tag="div", attrs={})
agent
copy(text="The influence of executive functions on eye-hand span and piano performance during sight-reading")
agent
say(speaker="navigator", utterance="Here are the journals:\n\t1. An automatic music generation and evaluation method based on transfer learning\n\t2. Intelligent auxiliary system for music performance under edge computing and long short-...")
user
Open the second one.
agent
say(speaker="navigator", utterance="Okay")
agent
click(x=387, y=444, tag="a", attrs={})
user
Who is the author?
agent
copy(text="Yi Wang ")
agent
say(speaker="navigator", utterance="Yi Wang")
user
What is the published date?
agent
click(x=185, y=498, tag="li", attrs={})
agent
copy(text="Published: May 8, 2023\n")
agent
say(speaker="navigator", utterance="Published: May 8, 2023")
user
Please provide me with the summary of the Conclusion.
agent
say(speaker="navigator", utterance="Sure")
agent
click(x=246, y=373, tag="a", attrs={})
agent
tabswitch(origin=2011629575, target=2011629577)
agent
scroll(x=0, y=456)