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Discover the revolutionary capabilities of AssemblyAI's latest speech recognition models, Universal-1 and Nano, in this in-depth tutorial. Our newly introduced Universal-1 model offers state-of-the-art accuracy for transcribing speech to text, surpassing our previous Conformer-2 model in both speed and efficiency. It's trained on 12.5 million hours of diverse audio data and is equipped to handle accented speech, background noise, and complex phrases like flight numbers and email addresses. Universal-1 supports multiple languages including English, Spanish, French, and German, with additional languages on the horizon.

In this video, you'll learn how to set up and use the AssemblyAI Java SDK to integrate these powerful speech recognition technologies into your Java applications. We'll cover the installation process, how to configure the SDK, and practical examples of transcribing audio from URLs using the Universal-1 model.

We'll also explore the capabilities of the Nano model, a cost-effective alternative supporting 99 languages, ideal for projects where budget constraints are a consideration but broad language support is needed.

What you'll learn:

- How to install the AssemblyAI Java SDK using Gradle.
- Transcribing audio files using the Universal-1 and Nano models with real code examples.
- Understanding the difference between the Best and Nano class models.
- Additional features offered by AssemblyAI such as entity detection, content moderation, PII redaction, and applying large language models to audio data.
-Join us to elevate your Java applications with cutting-edge speech recognition technology and harness the full potential of audio intelligence!

Timestamps:
00:00 - Introduction to Speech Recognition with AssemblyAI
01:10 - Setting up the AssemblyAI Java SDK
01:57 - Transcribing an Audio File with Universal-1
03:54 - Generating Speaker Labels in the transcript
05:46 - Using the Nano Model for Cost Efficiency


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