We are now offering on-demand streaming of webinars that were previously held and viewed by over 400 people.
A speech recognition development engineer will generously and thoroughly explain how to accurately measure speech recognition accuracy.
You can watch it at your convenience, so please take this opportunity to sign up.
Outline
・What is voice recognition rate?
・How to calculate the speech recognition rate
・How to measure voice recognition rate
- We will explain each step with a demonstration.
1. Prepare the audio
2. Creating the correct text
3. Recognize voice and prepare text
4. Check for spelling variations
5. Measurement using the Python library "JiWER"
6. Discussion
Recommended for
・Those who are interested in planning and developing voice recognition systems
・Those considering introducing voice recognition products
- People who want to compare the recognition rates of voice recognition engines from various companies
・People who want to collect information on voice recognition engines
Voice of participants
・I attended the seminar with absolutely no knowledge about voice recognition rates, but it was very easy to understand, including the key points to consider when measuring.
・You even explained how to run the program, so I thought it would be easy to understand even for beginners.
・It was good to hear the instructor's experience.
| A voice recognition development engineer explains Learn from scratch! How to measure speech recognition rates | |
|---|---|
| Viewing period | June 6 (Tue) - September 16 (Tue) |
| Viewing time | About 60 minutes You can repeatedly review points of interest, and you can also pause the video and resume watching later. |
| Entry fee | Free |
| How to apply | If you submit your application using the form below, you will receive an automated confirmation email. |
| Notes | *Photography and recording of on-demand broadcasts are prohibited. *Content may change without notice. Applications from competing companies may be rejected. |
[Contact]
Advanced Media, Inc.
Webinar Secretariat
Mail:ami-pfdo-webinar-ml@advanced-media.co.jp