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    Text to Speech Synthesizer

     Info
    Deployed on AWS
    This solution can take text input and convert it into a human like speech

    Overview

    Text to Speech Synthesizer is a next-gen solution for lifelike speech synthesis. Our technology effortlessly converts text into human-like speech, enhanced by SSML tag support for precise control over pauses, numbers, and date/time formatting. Experience cost-effective, CPU-optimized performance across multiple voices and languages. With eNova, you'll achieve unparalleled customization for both short and long text inputs. Upgrade your communication strategy with Text to Speech and elevate user experiences today!

    N.B. Only batch transform jobs are supported

    Highlights

    • This model is for converting text input to Speech in some specific voices and languages. Additiionally, it supports some SSML tags to customize the spoken text. This is tuned for cpu uses and can be used for short and long text inputs. **Some of the voices supported for SSML in English are :** 1. Harvard 2. Blizzard 3. Ljspeech 4. Marry **Some of the supported languages are:** 1. English : 'en-us' 2. German : 'de-de' 3. French : 'fr-fr' 4. Italian : 'it-it' **Some of the supported SSML tags are :** 1. speak 2. break 3. say-as 4. voice
    • The solution can be used in industries like media and entertainment, software, mobile applications, hospitatlity, healthcare, legal etc. to provide text to speech services. This can also be used to develop many solutions requiring text to speech like voice bots and virtual assistants.
    • Need more machine learning, deep learning, NLP and Quantum Computing solutions. Reach out to us at Harman DTS.

    Details

    Delivery method

    Latest version

    Deployed on AWS

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    Features and programs

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    Pricing

    Text to Speech Synthesizer

     Info
    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (26)

     Info
    Dimension
    Description
    Cost/host/hour
    ml.m5.large Inference (Batch)
    Recommended
    Model inference on the ml.m5.large instance type, batch mode
    $100.00
    ml.m4.4xlarge Inference (Batch)
    Model inference on the ml.m4.4xlarge instance type, batch mode
    $100.00
    ml.m5.4xlarge Inference (Batch)
    Model inference on the ml.m5.4xlarge instance type, batch mode
    $100.00
    ml.m4.16xlarge Inference (Batch)
    Model inference on the ml.m4.16xlarge instance type, batch mode
    $100.00
    ml.m5.2xlarge Inference (Batch)
    Model inference on the ml.m5.2xlarge instance type, batch mode
    $100.00
    ml.p3.16xlarge Inference (Batch)
    Model inference on the ml.p3.16xlarge instance type, batch mode
    $100.00
    ml.m4.2xlarge Inference (Batch)
    Model inference on the ml.m4.2xlarge instance type, batch mode
    $100.00
    ml.c5.2xlarge Inference (Batch)
    Model inference on the ml.c5.2xlarge instance type, batch mode
    $100.00
    ml.p3.2xlarge Inference (Batch)
    Model inference on the ml.p3.2xlarge instance type, batch mode
    $100.00
    ml.c4.2xlarge Inference (Batch)
    Model inference on the ml.c4.2xlarge instance type, batch mode
    $100.00

    Vendor refund policy

    We do not provide any usage related refunds at this time.

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    Vendor terms and conditions

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    Usage information

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    Delivery details

    Amazon SageMaker model

    An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.

    Deploy the model on Amazon SageMaker AI using the following options:
    Deploy the model as an API endpoint for your applications. When you send data to the endpoint, SageMaker processes it and returns results by API response. The endpoint runs continuously until you delete it. You're billed for software and SageMaker infrastructure costs while the endpoint runs. AWS Marketplace models don't support Amazon SageMaker Asynchronous Inference. For more information, see Deploy models for real-time inference  .
    Deploy the model to process batches of data stored in Amazon Simple Storage Service (Amazon S3). SageMaker runs the job, processes your data, and returns results to Amazon S3. When complete, SageMaker stops the model. You're billed for software and SageMaker infrastructure costs only during the batch job. Duration depends on your model, instance type, and dataset size. AWS Marketplace models don't support Amazon SageMaker Asynchronous Inference. For more information, see Batch transform for inference with Amazon SageMaker AI  .
    Version release notes

    Feature enhancements and bug fixes

    Additional details

    Inputs

    Summary

    The text is provided in SSML format. Possible tags : encloses content : custom pronunciation : references lexicon : text substitution : pauses : text interpretation : voice profiles

    : paragraphs

    Input MIME type
    text/xml
    https://github.com/HDTS-user/eNova-text-to-speech-synthesizer/tree/main/input
    https://github.com/HDTS-user/eNova-text-to-speech-synthesizer/tree/main/input

    Support

    Vendor support

    Business hours email support marketplaceSupp@harman.com 

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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