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Use Large Language Models With Voice Data
Get more from your voice data with our guides on using Large Language Models (LLMs) with LeMUR. Learn how to ask questions, summarize, extract, and generate content from your audio data:Â
Ask questions about your audio data: Learn how to use LeMUR to ask questions and get insightful answers about your audio data.Summarize audio data: Discover how to quickly summarize your audio data with key takeaways using LeMUR.Extract and generate data: Find out how to extract tags and descriptions from your audio to enhance metadata and searchability with LeMUR.Generate content based on audio data: Learn how to create long-form or short-form written content from your audio data using LeMUR.
How to identify languages in audio data using Python: Learn how to use Python to automatically identify languages in audio files. Read more>>
Build a Discord Voice Bot to Add ChatGPT to Your Voice Channel: Develop a Discord voice bot that uses AssemblyAI for speech transcription, OpenAI’s GPT-3.5 Turbo AI model for intelligent processing, and ElevenLabs for speech synthesis. Read more>>
How to perform Speaker Diarization in Python: Use Python to perform speaker diarization on audio and video files to identify “who said what when”. Read more>>
Our Trending YouTube Tutorials
Speaker Diarization In Python – Transcription with Speaker Labels: Discover how to use AssemblyAI’s speaker diarization to create transcripts that have speaker labels in Python.Â
How to Automatically Detect Language in Speech Using Python: Learn how to use AssemblyAI’s Speech Recognition model to Automatically detect Languages in any spoken data like audio and video files.Â
Live Speech-to-Text With Google Docs Using LLMs (Python Tutorial): Develop real-time speech-to-text transcription in Google Docs using AssemblyAI’s Speech-to-text API and large language models (LLMs) all in Python.
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