Assembly AI – Speech to text – Audio a texto

.LeMUR Cookbooks: Build Audio LLM Apps

LeMUR is the easiest way to code applications that apply LLMs to speech. In just a few lines of code, you can search, summarize, ask questions, and generate text across your audio and video data. Check out the following popular LeMUR resources:

• Real-time Transcription with LeMUR.
• Detecting scam calls with LeMUR.
• Processing Speaker Labels with LeMUR.
• Extracting phone call insights with LeMUR.

You can also try LeMUR in AssemblyAI’s playground.

Free Python Course: Build an Audio AI App (1K+ Signups)

The in-depth 4+ hour video course «Build An Audio AI App» created by Talk Python is now available! Learn how to build a speech AI app with podcast audio using AssemblyAI’s speech-to-text and LeMUR‘s LLM capabilities. The course covers creating transcripts from audio, building a search engine on transcripts, leveraging LeMUR for summarization and Q&A, and more. Check our blog for full details.

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Use Large Language Models With Voice Data

Get more from your voice data with our new guides on using Large Language Models (LLMs) with LeMUR. Learn how to ask questions, summarize, extract, and generate content from your audio data:

1. Ask questions about your audio data: Learn how to use LeMUR to ask questions and get insightful answers about your audio data.
2. Summarize audio data: Discover how to quickly summarize your audio data with key takeaways using LeMUR.
3. Extract and generate data: Find out how to extract tags and descriptions from your audio to enhance metadata and searchability with LeMUR.
4. Generate content based on audio data: Learn how to create long-form or short-form written content from your audio data using LeMUR.

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Node.js Speech-to-Text with Punctuation, Casing, and Formatting

Learn how to transcribe audio and video files into text that contains punctuation, casing, and formatting using the AssemblyAI JavaScript SDK. Read more>>

Filter profanity from audio files using Node.js

Filter profanity from audio files using Node.js and the AssemblyAI’s Speech-to-text API. Read more>>

Content moderation on audio files with Python

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