In this seminar, we will provide a detailed overview of the offline-compatible speech recognition engine "AmiVoice SDK," including its features from a developer's perspective, as well as implementation methods, such as integration with generative AI using sample code.
This presentation will address common challenges in speech recognition development, such as "We want to implement speech recognition offline" and "We want to extract data for each item from natural conversation," using real-world examples.
You can also ask questions to the developers via chat on the day of the event, so please take this opportunity to participate.
What you will learn in this seminar
- How to install and implement an offline speech recognition SDK
- Development methods for data entry applications combined with generative AI
- Know-how for extracting item-specific data from natural conversations
Recommended for
- Those who want to incorporate voice recognition into their products
- Those considering using AI to generate data from free speech.
- Those who want to develop using AmiVoice SDK
| Developer Explains! How to Implement an Offline Speech Recognition SDK ~Live coding demonstration of AmiVoice x Generative AI~ | |
|---|---|
| Date | August 26th (Wednesday) 15:00-16:00 |
| Venue | Zoom |
| Entry fee | Free |
| Target | This is for those who want to integrate offline voice recognition into their products or apps, or for developers considering developing data entry functions that utilize generative AI. |
| way to participate | If you submit your application using the form below, you will receive an automated confirmation email. |
| Notes | *This seminar will be held online (webinar). *Please note that filming or recording of this webinar is prohibited. *Content may change without notice. Applications from competing companies may be rejected. |
[Contact]
Advanced Media, Inc.
Webinar Secretariat
E-Mail: ami-pfdo-webinar-ml@advanced-media.co.jp
What is AmiVoice SDK?
This is a development kit for incorporating voice recognition functionality when developing native apps. It can operate as a standalone and excels at recognizing product names, numbers, alphabets, and command words such as "next" and "confirm," so it is widely used for embedding in devices used for data entry work at manufacturing and logistics sites and warehouses, and for app development.
