ezDeep SR
This product is to create an AI for speech recognition, using your own data easily.
There are a variety of applications which try to apply AI technology to speeches. For example, some AI systems are trying to detect speakers' emotions from the voices.
A commercial software product may have an issue on voice classification of your employees. The reason is, the system doesn't use the voices of your employees for the product when it creates the AI logic.
If you want to create an AI which integrates with the voices of your employees, you will develop a new system internally, or ask the other system development company. Most of books on AI describe complex mathematics. Deep understanding of the contents is necessary to develop your own system with AI. Therefore, selecting internal development option is difficult from cost and time point of views for many companies.
On the other hand, asking the other company has the other issues. The voices may include your secret information. One more issue is, the total cost will be extremely high to develop your own sytem, compared to commercial products.
ezDeep SR is a product which solves those issues, and the benefits are as follows.
Specialize in Speech Recognition AI
This software focuses on speech recognition of speakers. The real time voice from a microphone is analyzed, and the speaker's emotion can be presumed.
This product has a lot of features which allow you to create your own AI for speech recognition easily.
Simple User Interface
The basic operation is just placing your speech files, which you want to integrate with your AI logic, at pre-defined folder, and creating rectangles at target areas which show emotions on those files. Neither technical knowledge nor programinng is required.
You can create your own AI data by similar operations to commercial voice processing software products.
Deep Learning UI Prepared
Once you finalize classifications on all speeches, you will use Deep Learning feature to create your own AI logic with your own speech information.
You can confirm the result of each trial on a dialog box during repeated calculations.
Status Graph Available
The calculation error during deep learning is shown immediately.
You can confirm the status on both learning and testing data as dedicated graphs. Stop your deep learning at an appropriate time, watching the trend of the error values.
Instant Result Confirmation on Deep Learning
Once you finalize deep learning, you can see classification result with a speech.
The system will display the wave form used for result confirmation, the detected classification, and the possibility.
If the result is not as expected, repeat data creation and deep learning.
Develop Your own AI System
ezDeep SR data keeps all internal parameters after Deep Learning. Development kit allows you to develop your own system which utilizes your own AI logic.
You can change the AI logic just by reloading ezDeep SR data. Therefore, you may not need to develop the system again, in the case of constructing AI for your new product release. Shorter product release time, and less system development cost, would be expected, because many tasks can be conducted internally.
No Programming for Network Design
A dedicated software can be used for your layer design in your deep learning network. You can specify each layer type, its parameters, or others without any programming.
Consultation Service Available
When you start your own project, you may have many things you don't understand, such as what kind of architecture you should select for your network, and how you should utilize ezDeep features. We've been collected so much data, created many network architectures, and executed deep learning repeatedly, through our product development. Our technical knowledge on AI, acquired through our development process, will support your project execution steadily.
Huge AI Network Supported
The bigger your AI network is, the faster the calculation speed must be. Therefore, this system adopted multi-thread technology for many of calculation processes. High performance CPUs have a lot of cores. You can also select a hardware with multiple CPUs. You can expect faster calculation speed with such high performance hardware by multi-thread parallel processes.
Many AI projects use GPU to improve calculation speed. Thus, this system supports calculations with GPU. This technology may also improve calculation speed.