给小朋友做的AI工具：把喜欢的书读出来

跟李沐学AI · Summary by Tubewise · Watch on YouTube

TL;DR

This video explores how AI can be used to create interactive digital reading experiences for children by converting physical books into playable formats, highlighting the capabilities and limitations of current AI models in processing visual and textual data from books.

Key insights

AI can transform physical books into interactive digital experiences.

The speaker demonstrates a tool that converts books into a digital, playable format.
This technology allows for features like text-to-speech, making books more accessible and engaging for children.
The process involves scanning book pages and using AI to create a digital version with interactive elements.

AI models are improving in their ability to understand and process visual and textual data from books.

AI can now recognize text in various formats, including curved text and images with varying resolutions.
Advanced models can differentiate between text and images, and even interpret the context of visual elements.
The accuracy of AI in tasks like OCR (Optical Character Recognition) is crucial for digitizing books effectively.

The development of AI tools for children's education is a growing area with significant potential.

AI can personalize the reading experience for children, adapting to their learning pace and preferences.
Tools that offer interactive storytelling and pronunciation assistance can enhance early literacy skills.
The speaker highlights the need for AI to be user-friendly and engaging for young audiences.

Fine-tuning AI models is key to achieving optimal performance for specific tasks.

While general AI models are powerful, fine-tuning them with specific datasets (like children's books) can yield better results.
The speaker experimented with different models, noting that custom-trained models often outperform general ones for specific applications.
This fine-tuning process can improve accuracy in tasks like text recognition and voice synthesis.

Key moments

00:00Introduction to the topic: using AI to make books interactive for children.
00:10The speaker poses the question of how AI can solve problems in daily life, specifically related to reading with children.
00:14The speaker addresses those without children, suggesting they might think reading books with children is a warm experience.
00:22Children often have favorite books and will read them repeatedly.
00:37The speaker explains that a person can become 'overfit' to a language model by reading a book multiple times.
01:06The second pain point is related to the vocabulary difference between professional English and children's stories.
01:19Children's books often contain unfamiliar adjectives and proper nouns that even adults might not recognize.
01:37The speaker used a tool for two months to solve this problem, which completely resolved the pain point.
01:43The tool can also explain the technology behind it and how it works.
01:50The basic form of the tool is to turn a book into a playable digital version.
02:04Leveraging AI's rapid development, the speaker can create interactive experiences beyond just reading.
02:11OpenAI's new advanced voice feature allows interaction with children and can even help them understand what they are doing.
02:21The speaker's child uses this feature to have the AI read to her, allowing her to lie on the sofa or bed and listen.
02:34The speaker has this book and can directly let the child read it on the tablet.
02:41The child recently started liking the 'Fly Guy' series.
02:48This also solved a small pain point.
03:00Instead of wasting time and effort picking out books, the AI tool can help.
03:11When there are many books in the digital library, children can find their favorites.
03:23Many parents are concerned about children's screen time.
03:30The speaker tried an e-paper version and found the effect to be acceptable.
03:37The speaker consulted an ophthalmologist.
03:40The doctor's advice is that whether reading a book or looking at a screen, it's all about looking at something close up.
03:47If you're looking at a screen for a long time, especially with animated content, there might be two additional issues.
03:52First, the content itself might be too stimulating.
03:55Second, the child's eyes might be strained from looking at moving images.
04:04If the content is similar to a book, it might not be fundamentally different.
04:14The speaker suggests setting a timer for 20-30 minutes and then taking a break.
04:25This is a good product design that aims to make users addicted.
04:37The speaker hopes to find a way for children to read books on tablets without needing to look at them up close.
04:45The speaker will explain the technologies used, which are mainly three.
04:48First, how to turn a book into a high-quality digital version.
04:51Second, how to extract content from the digital version.
04:54Third, the AI's voice and interactive features.
05:01Turning a book into a digital version is simple: take a photo of each page with your phone.
05:07Phones have high resolution and advanced technology to enhance image quality.
05:14The speaker shares how they scanned thousands of books.
05:24The tool uses two cameras to scan each page quickly and effectively.
05:31All books are stored in a digital library, which the speaker shared.
05:36The speaker demonstrates the tool's functionality.
05:39The tool's name is readtogether.ai.
05:44After opening the tool, register your account.
05:46The tool itself has no content; you upload your books after registering.
05:57A small trick: whether iOS or Android, you can save it to your desktop.
06:03Then open it to get a full-screen experience similar to a native app.
06:10The tool performs several tasks.
06:12First, it finds the ISBN within the book.
06:16Then, it searches online for information using the cover and ISBN.
06:20This helps organize the bookshelf.
06:23Children prefer specific series, like the pink piglet series or the Fly Guy series.
06:31The scanned version of each page might not have high quality.
06:37For example, the image on the left is the original scan, while the middle one has color optimization.
06:44The right side has super-resolution, making the image clearer.
06:50After super-resolution, the effect is much better.
06:54However, video content might not be optimized.
07:06The Super Resolution model is directly from the internet without manual adjustment.
07:11The model is mainly optimized for photographic images and scanned documents.
07:17While the resolution is higher, the text itself becomes thinner.
07:21Optimizing this involves finding high-resolution scanned images and reducing their resolution.
07:34Next, extract content from the media.
07:37This is a mature technology called OCR, which extracts text from images.
07:43However, OCR for children's books might not be sufficient due to the rich, structured information.
07:51For example, in this comic book, the text is arranged in a spiral and uses artistic fonts.
08:01Another example: the image is very dark, making it hard to see.
08:06While the AI can generally recognize the text, it might struggle with unusual layouts or actions.
08:13The OCR model's understanding of the text's meaning might be insufficient.
08:18It's better to use a more advanced visual language model.
08:23This model can analyze the entire page semantically.
08:27It can identify words and determine if they are part of the image or an action.
08:36The speaker used OpenAI's GPT-4o.
08:38The effect is acceptable, but older versions might have better results.
08:42This is not a mainstream application, so the new model might not be perfectly tuned.
08:47The model's accuracy is generally above 90%, and with two attempts, it can reach over 98%.
08:54It handles unusual 'corner cases' well.
08:58The image shows text arranged in a spiral, which the AI can recognize.
09:03Another image is very dark, but the AI can still recognize most of it, despite some 'hallucinations'.
09:10Comparing different models, OpenAI's and Anthropic's models are generally good.
09:14If OpenAI's model is not significantly flawed, it performs well.
09:21The AI can extract content and convert it into audio.
09:27The speaker's child uses this tool daily for 20-40 minutes, finding it very satisfying.
09:31Although the technology isn't 'fancy', it's useful.
09:37The speaker shares their plan to collect specific voices for children's books.
09:43The speaker trained a model using these voices.
09:54The speaker's friend questioned why they would record such a 'plain' tool.
10:00The speaker believes this tool is valuable because their child uses it daily for 20-40 minutes.
10:05The speaker tried two models: 'ali's cozyvoice' and Google's 'flan t5'.
10:10The 'flan t5' model is fast but has issues with non-standard calculations.
10:17The second model uses many non-standard calculations, making real-time processing difficult.
10:23Another model, 'flan t5', is decent.
10:26This model is fast and can achieve real-time results.
10:29However, the issue is that fine-tuning is difficult, requiring a from-scratch training process.
10:34The results are quite good.
10:36The speaker compares their own trained model with others.
10:38They chose a voice from ElevenLabs.
10:40The voice is relatively slow and monotonous but sounds younger and more lively.
10:46The speaker demonstrates the ElevenLabs voice reading a passage.
10:58The speaker then plays a self-tuned voice.
11:13The specific usage involves selecting a 5-second voice sample for instant cloning (zero-shot).
11:21The AI then uses this voice to make recommendations.
11:25Although ElevenLabs offers this feature, the speaker finds its effect to be poor and unlike the original.
11:28Therefore, training a custom model is relatively better.
11:33This is another book read by an ElevenLabs voice.
11:43The speaker compares their custom-trained model's voice with the ElevenLabs voice.
11:56The speaker notes that the pronunciation is very accurate.
11:58The AI can recognize a person speaking and switch intonation accordingly.
12:08The speaker's custom-trained model is not ideal for children's books due to its unnatural intonation.
12:12The model also struggles with foreign words and phonetic transcriptions in children's books.
12:23However, this issue can be resolved by using more data.
12:26The speaker questions why not use an end-to-end model that directly converts images to speech.
12:30The speaker believes such applications are not real-time.
12:34The speaker finds value in a segmented approach, allowing for multiple predictions and checks.
12:44For TTS (Text-to-Speech), after generating the audio, the speaker can run a whisper model to verify the output.
12:51If the output is incorrect, they can re-run the process multiple times.
12:54This approach offers advantages when working with offline models.
12:57The speaker shares a tool for reading books to children.
13:03The speaker's friend asked why they would record such a simple tool.
13:08The speaker's child uses this tool daily for 20-40 minutes, finding it very satisfying.
13:13Despite not having 'fancy' technology, the tool is useful.
13:16The speaker is happy to share it, hoping it helps other children and welcomes feedback.