How do i generate post call Transcript with timestamp, speakers, language, chapters/Topics

It seems likely that generating a post-call transcript with timestamps, speakers, language, and chapters/topics can be achieved using LiveKit's transcription features. You can use the

Transcription

and

TranscriptionSegment

classes to capture detailed transcription data, including timestamps and speaker identities. The

TranscriptionSegment

class provides fields like

start_time

,

end_time

,

text

,

language

, and

final

to help structure the transcript data. For capturing chapters or topics, you might need to implement additional logic to analyze the text and segment it into topics. This could involve natural language processing (NLP) techniques to identify topic changes within the conversation. Would you like more detailed guidance on implementing this, including potential code snippets or further explanation on using NLP for topic segmentation? Sources: - livekit.rtc.transcription API documentation 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.