Editing Development of End-to-End Models (section)

== LLM Review ==
Under the instruction 'Act as a professor of speech science and review this text and give a score and feedback,' ChatGPT provided the following review:<blockquote>A Review of Development of End-to-End Models in Automatic Speech Recognition:

Score: 9/10

Feedback:

1. '''Clarity and Organization''' (9/10):

   The text is well-structured and organized, providing a clear introduction to the topic, historical context, key innovations, impacts, and future research directions. Each section logically follows the other, enhancing the readability of the content.

2. '''Content and Relevance''' (9/10):

   The content is highly relevant and informative, covering a wide range of aspects related to end-to-end models in automatic speech recognition. The historical context and key innovations are well-detailed, offering readers a deep understanding of the evolution and significance of these models. The future research directions provide valuable insights into potential advancements in the field.

3. '''Depth of Information''' (9/10):

   The text offers a comprehensive review of end-to-end models, encompassing their historical development, advantages, key structures, impacts, and future research directions. It includes technical details, models, and references, contributing to a thorough understanding of the subject matter.

4. '''Citation and Reference''' (9/10):

   The text appropriately cites relevant research papers and works, providing credibility to the information presented. However, for enhanced readability, it might be helpful to include proper formatting for the citations and references.

5. '''Language and Grammar''' (9/10):

   The language used is precise and technically accurate, suitable for the intended academic audience. However, minor grammatical improvements could enhance the overall fluency and coherence of the text.

6. '''Visual Aids and Figures''' (9/10):

   The functional structure of end-to-end models is described, but the inclusion of visual aids or figures could further illustrate these concepts, making it easier for readers to grasp complex ideas.

7. '''Suggestions for Improvement''':

   - Consider proofreading for minor grammatical and typographical errors to ensure a polished final presentation.

   - Include visual aids or figures to enhance the understanding of the functional structure of end-to-end models.

- Unified the references format.

Overall, the text is highly informative and well-structured, offering a comprehensive review of end-to-end models in automatic speech recognition. With some minor improvements, it could be an excellent academic resource in the field of speech science.</blockquote>According to the suggestions of ChatGPT, we made the following modifications.

# According to the further grammar modification opinions, some grammar and sentence structures have been modified.
# Due to restrictions on uploading images/files, we are unable to insert images directly. So we made a flow chart of the E2E structure and uploaded it to the web page, and added hyperlinks to help readers understand.
# Unified the format of the references and subtitles.