Overview
Cloud Speech-to-Text On-Prem enables easy integration of Google speech recognition technologies into your on-premises solution. The Speech-To-Text (STT) On-Prem solution gives you full control over your infrastructure and protected speech data in order to meet data residency and compliance requirements. This best-in-class machine learning technology gives you access to the next-generation speech recognition models that are more accurate, smaller in size, and require fewer computing resources to run than existing solutions.
Speech-to-Text On-Prem is a Google Cloud Marketplace application and can be deployed as a container to any GKE cluster. This gives you flexibility and greater control in deployment, whether you decide to deploy on Google Cloud with GKE or on-premises with Anthos. This lets you to take advantage of the simplicity, agility, and cost-effectiveness of Google's container hosting and management across hybrid environments.
| Key capabilities | |
|---|---|
| High quality transcription | Apply Google's advanced deep learning neural network algorithms to automatic speech recognition. |
| Deployable anywhere | Run in any GKE or Anthos cluster. |
| Efficient models | Deploy efficiently with models that are less than 1 GB in size and consume minimal resources. |
| API compatible | Full compatibility with the Speech-to-Text API and its client libraries. |
Istio service mesh |
Use our pre-built Istio objects to seamlessly scale up to thousands of connections. |
Stackdriver integration |
Export metadata logs to one centralized location. |
| Supported languages | Support your global user base with language supports in English, French, German, Spanish, Portuguese, Cantonese, and Japanese. |
Reference architecture
Deployment and installation
- See the Speech-to-Text On-Prem pricing page for an outline of how cost is calculated.
- Contact your seller to get access to the solution.
- Deploy the application to your cluster.
- Configure your chosen client library to access your deployment.
- Start transcribing your audio files.