LeMUR examples
Learn about different use cases for LeMUR with these examples.
Question and answer Answer any questions about your audio. | "Identify any patterns or trends based on the transcript" |
Quote or Citation Extract quotes or citations from the transcript. | "List the timestamp X topic was discussed, provide specific citations" |
Closed-ended questions Answer simple yes or no questions. | "Did the customer express a positive sentiment in the phone call?" |
Sentiment analysis Assess the emotional sentiment of a conversation. | "What was the emotional sentiment of the phone call?" |
Summaries Generate summaries for your audio data. | "Summarize key decisions and important points from the phone call transcript" |
Summarize audio segments Generate summaries for each segment or chapter of your audio data. | "Summarize the key events of each chapter" |
Generate titles and descriptions Generate metadata information about your audio, such as title and description. | "Generate an attention-grabbing YouTube title based on the video transcript" |
Generate tags Generate tags to organize and categorize your audio data. | "Generate keywords that can be used to describe the key themes of the conversation" |
Action items Extract action items from the meeting transcript and assign them to the corresponding speaker. | "What action items were assigned to each participant?" |
Generate content Generate long-form or short-form written content using your audio data. | "Generate a blog post with key information presented in bullet points from the transcript" |
Paraphrasing Rephrase parts of the transcript. | "Rephrase X segment from the transcript in a different way" |
You can find more ideas and code examples in the AssemblyAI Cookbook repo on Github.