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艺术的声音
案例简介：EntrySummary 人们平均只花 17 秒看一件艺术品。 简要解释 沃森使用数据制作艺术作品，与拉丁美洲两个主要博物馆的游客进行真正的交谈; 圣保罗的皮纳科蒂卡和墨西哥的人类学博物馆通过游客与应用程序的互动, 沃森 “倾听” 用户的询问，并将音频转换成文本,使用一个名为语音到文本的 API。这篇文章被发送给一位经理，在那里 IBM 团队绘制问题的意图，并在墨西哥皮纳科特卡博物馆和人类学博物馆的馆长和教育工作者的帮助下学习答案。在收集了所有这些数据后，沃森使用了另一个名为机器学习的 API，将问题与所有答案进行比较，并为特定情况找到最佳答案。最后，它将文本转换回音频，并使艺术与访问者交谈。
艺术的声音
案例简介：EntrySummary People spend only 17 seconds on average looking at an art-piece. BriefExplanation Watson used data to make art pieces literally talk to visitors to two majors museums in Latin America; Pinacoteca of São Paulo and The Anthropology Museum of Mexico Through the interaction of visitors with the application, Watson "listens" to what the user asks and turns that audio into text, using an API called Speech to Text. This text is sent to a manager where the IBM team maps the intentions of the questions and learns the answers with the help of curators and educators of the Pinacoteca Museum and Anthropology Museum of Mexico. With all this data already collected, Watson uses another API, called Machine Learning, that compares the question with all the answers and finds the best one for that particular situation. Finally, it converts the text back into audio, and makes the art talk to the visitor.
The Voice of Art
案例简介：EntrySummary 人们平均只花 17 秒看一件艺术品。 简要解释 沃森使用数据制作艺术作品，与拉丁美洲两个主要博物馆的游客进行真正的交谈; 圣保罗的皮纳科蒂卡和墨西哥的人类学博物馆通过游客与应用程序的互动, 沃森 “倾听” 用户的询问，并将音频转换成文本,使用一个名为语音到文本的 API。这篇文章被发送给一位经理，在那里 IBM 团队绘制问题的意图，并在墨西哥皮纳科特卡博物馆和人类学博物馆的馆长和教育工作者的帮助下学习答案。在收集了所有这些数据后，沃森使用了另一个名为机器学习的 API，将问题与所有答案进行比较，并为特定情况找到最佳答案。最后，它将文本转换回音频，并使艺术与访问者交谈。
The Voice of Art
案例简介：EntrySummary People spend only 17 seconds on average looking at an art-piece. BriefExplanation Watson used data to make art pieces literally talk to visitors to two majors museums in Latin America; Pinacoteca of São Paulo and The Anthropology Museum of Mexico Through the interaction of visitors with the application, Watson "listens" to what the user asks and turns that audio into text, using an API called Speech to Text. This text is sent to a manager where the IBM team maps the intentions of the questions and learns the answers with the help of curators and educators of the Pinacoteca Museum and Anthropology Museum of Mexico. With all this data already collected, Watson uses another API, called Machine Learning, that compares the question with all the answers and finds the best one for that particular situation. Finally, it converts the text back into audio, and makes the art talk to the visitor.
艺术的声音
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The Voice of Art
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