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articles/cognitive-services/Speech-Service/includes/speech-to-text-chart-config.md

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@@ -44,9 +44,9 @@ Starting with v2.2.0 of the speech-to-text container, the following parameters a
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| --- | --- | --- | --- |
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|`textanalytics.enabled`| Whether the **text-analytics** service is enabled| true/false| `false`|
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|`textanalytics.image.registry`| The **text-analytics** docker image registry| valid docker image registry| |
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|`textanalytics.image.repository`| The **text-analytics** docker image repository| valida docker image repository| |
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|`textanalytics.image.repository`| The **text-analytics** docker image repository| valid docker image repository| |
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|`textanalytics.image.tag`| The **text-analytics** docker image tag| valid docker image tag| |
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|`textanalytics.image.pullSecrets`| The image secrets for pulling **text-analytics** docker image| valida secrets name| |
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|`textanalytics.image.pullSecrets`| The image secrets for pulling **text-analytics** docker image| valid secrets name| |
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|`textanalytics.image.pullByHash`| Specifies if you are pulling docker image by hash. If `yes`, `image.hash` is required to have as well. If `no`, set it as 'false'. Default is `false`.| true/false| `false`|
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|`textanalytics.image.hash`| The **text-analytics** docker image hash. Only use it with `image.pullByHash:true`.| valid docker image hash | |
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|`textanalytics.image.args.eula`| One of the required arguments by **text-analytics** container, which indicates you've accepted the license. The value of this option must be: `accept`.| `accept`, if you want to use the container | |
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|`textanalytics.memoryRequest`| The requested memory for **text-analytics** container| | `6Gi`|
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|`textanalytics.memoryLimit`| The limited memory for **text-analytics** container| | `8Gi`|
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|`textanalytics.service.sentimentURISuffix`| The sentiment analysis URI suffix, the whole URI is in format "http://`<service>`:`<port>`/`<sentimentURISuffix>`". | | `text/analytics/v3.0-preview/sentiment`|
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|`textanalytics.service.type`| The type of **text-analytics** service in Kubernetes. See [Kubernetes service types](https://kubernetes.io/docs/concepts/services-networking/service/) | valid Kuberntes service type | `LoadBalancer` |
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|`textanalytics.service.type`| The type of **text-analytics** service in Kubernetes. See [Kubernetes service types](https://kubernetes.io/docs/concepts/services-networking/service/) | valid Kubernetes service type | `LoadBalancer` |
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|`textanalytics.service.port`| The port of the **text-analytics** service| int| `50085`|
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|`textanalytics.service.annotations`| The annotations users can add to **text-analytics** service metadata. For instance:<br/> **annotations:**<br/>` ` **some/annotation1: value1**<br/>` ` **some/annotation2: value2** | annotations, one per each line| |
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|`textanalytics.serivce.autoScaler.enabled`| Whether [Horizontal Pod Autoscaler](https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale/) is enabled. If enabled, `text-analytics-autoscaler` will be deployed in the Kubernetes cluster | true/false| `true`|

articles/cognitive-services/Speech-Service/speech-container-howto.md

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ApiKey={API_KEY}
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```
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This command:
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* Runs a *Speech-to-text* container from the container image.
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* Allocates 4 CPU cores and 4 gigabytes (GB) of memory.
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* Exposes TCP port 5000 and allocates a pseudo-TTY for the container.
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* Automatically removes the container after it exits. The container image is still available on the host computer.
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#### Analyze sentiment on the speech-to-text output
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This command:
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* Runs a *Speech-to-text* container from the container image.
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* Allocates 4 CPU cores and 4 gigabytes (GB) of memory.
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* Exposes TCP port 5000 and allocates a pseudo-TTY for the container.
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* Automatically removes the container after it exits. The container image is still available on the host computer.
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* Performs the same steps as the command above.
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* Stores a Text Analytics API endpoint and key, for sending sentiment analysis requests.
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# [Custom Speech-to-text](#tab/cstt)
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