Remove tag audio
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Ask questions about your audio with LLMs

AssemblyAI

Join Us On Discord Ask Questions About Your Audio With LLMs LLMs make it possible to answer questions about your text data, and  AssemblyAI's LeMUR  makes it easy to apply LLMs to audio and video data. Our LeMUR guides will show you how to: Summarize your audio data with key takeaways. 

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Best practices for building secure applications with Amazon Transcribe

AWS Machine Learning Blog

In this blog post, you will learn how to power your applications with Amazon Transcribe capabilities in a way that meets your security requirements. In other cases, audio content processed by Amazon Transcribe may contain sensitive data that needs to be protected to comply with local laws and regulations. We recommend using TLS 1.2

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Highlight text as it’s being spoken using Amazon Polly

AWS Machine Learning Blog

This service can be used by chatbots, audio books, and other text-to-speech applications in conjunction with other AWS AI or machine learning (ML) services. This capability is useful for creating dynamic audio books, educational content, and richer text-to-speech applications.

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Upgrade Alert: New Usage Dashboard + Mistral 7B First Look

AssemblyAI

Share any innovations you're working on to Discord or tag us on Twitter or LinkedIn ! Fresh From Our Blog Retrieval Augmented Generation on audio data with LangChain and Chroma : Elevate your AI knowledge with our latest tutorial on Retrieval Augmented Generation (RAG)! Sign up here

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Who Said What? Recorder's On-device Solution for Labeling Speakers

Google Research AI blog

Posted by Quan Wang, Senior Staff Software Engineer, and Fan Zhang, Staff Software Engineer, Google In 2019 we launched Recorder , an audio recording app for Pixel phones that helps users create, manage, and edit audio recordings. Right : Recorder transcript with speaker labels. Diagram of the multi-stage clustering strategy.

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A Comprehensive Guide to Data Labelling

Pickl AI

Read the blog below to learn more about how data labeling works and gain an understanding of the use cases. These are as follows: Labeled data generally has some predefined tags like name, type, or number. On the other hand, unlabelled data does not contain any tags. positive, negative, neutral) to text or audio data.

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Side Hustle Ideas for Experienced Data Scientists in 2022

Smart Data Collective

You might have an easier time reverse engineering this algorithm as a data scientist by conducting regression analyses based on observable variables, such as tags, video usage, types of listing images and the presence of certain keywords in listing descriptions. Starting a blog is one of the most popular side hustles that anyone can start.