#Nfs the run english audio and language for free
#Nfs the run english audio and language download

docker run -rm -tiвЂЇ-v /mnt/my_nfs:/my_nfsвЂЇ-entrypointвЂЇ/bin/bashвЂЇ/mnt/my_nfs:/my_nfsвЂЇdocker.io/batchkit/speech-batch-kit:latest This will start an interactive shell inside the container. Use the Docker run command to start the container.

The batch processing container is only supported on Linux.

Running the client with вЂ“h will list the available command-lineвЂЇparameters, and their default values.

You can use hosted or NFS-mounted directories for these folders.

This example uses the same directory ( /my_nfs) for the configuration file and the inputs, outputs, and logs directories.

You can add, remove, or edit endpoints at any time without interrupting the progress of your batch. Transcription requests will not be sent to containers that are unavailable, and the client will continue using other available containers. The batch client can dynamically detect if an endpoint becomes unavailable (for example, due to a container restart or networking issue), and when it becomes available again. The rtf (Real-Time Factor) value is optional, and can be used to tune performance. The concurrency value specifies the maximum concurrent file transcriptions that can run on the same container. The first host is specified by a IPv4 address, the second is running on the same VM as the batch-client, and the third container is specified by the DNS hostname of another VM. This yaml example specifies three speech containers on three hosts. The following example can be written to /mnt/my_nfs/config.yaml, which is used in the examples below. The batch client takes aвЂЇyamlвЂЇconfiguration file that specifies the on-prem container endpoints. docker pull docker.io/batchkit/speech-batch-kit:latest Learn more about working with public images. To improve reliability when using public content, import and manage the image in a private Azure container registry. We recommend that you authenticate with your Docker Hub account ( docker login) first instead of making an anonymous pull request. The following example pulls a public container image from Docker Hub.

#Nfs the run english audio and language download

Use the docker pull command to download the latest batch kit container. Real-time logging of attempted requests, timestamps, and failure reasons, with Speech SDK log files for each audio file. After becoming available again, the client will automatically begin using the endpoint.ДЄdd, remove, or modify Speech container endpoints during runtime without interrupting the batch progress. If an endpoint becomes unavailable, the batch client will continue transcribing, using other container endpoints. Run the batch client once, continuously in the background, or create HTTP endpoints for audio files.ДЄutomatically retry and continue transcription without losing progress, and differentiate between which errors can, and can't be retried on. Pass common flags to the Speech SDK, including: n-best hypotheses, diarization, language, profanity masking. Files can be on any POSIX-compliant volume, including network filesystems.

FeatureДЄutomatically dispatch large numbers of files to on-premises or cloud-based Speech container endpoints. You are only billed for the Speech containers you use.

#Nfs the run english audio and language for free

The batch kit container is available for free on GitHub and Docker hub. Available as a container, this open-source utility helps facilitate batch transcription for large numbers of audio files, across any number of on-premises and cloud-based speech container endpoints. Use the batch processing kit to complement and scale out workloads on Speech containers.