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    SquadStack Speech Recognition (Hinglish)

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    Deployed on AWS
    Free Trial
    Speech-to-text solution focused on mixed Hindi and English speech for the Telesales industry in India

    Overview

    Meet SquadStack ASR, a groundbreaking speech-to-text solution designed for both technology enthusiasts and business users. This innovative AI model boasts top-notch Word Error Rate (WER) performance, ensuring highly accurate transcriptions. SquadStack ASR also offers breakthrough performance in Hinglish transcription, making it perfect for mixed-language environments. With its swift processing capabilities, SquadStack ASR effectively saves time and enhances productivity. Best of all, our competitively priced solution delivers exceptional value without compromising quality. Embrace the future of speech recognition with SquadStack ASR, where precision, efficiency, and affordability harmoniously cater to the needs of tech-savvy users and businesses alike.

    Highlights

    • Highly Cost-Effective
    • Less than 20% Word Error Rate (WER) for telesales call recordings
    • 1 min of speech transcription in <10 sec on g4dn instances

    Details

    Delivery method

    Latest version

    Deployed on AWS

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    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    Free trial

    Try this product free for 60 days according to the free trial terms set by the vendor.

    SquadStack Speech Recognition (Hinglish)

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    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 (18)

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    Dimension
    Description
    Cost/host/hour
    ml.c5.2xlarge Inference (Batch)
    Recommended
    Model inference on the ml.c5.2xlarge instance type, batch mode
    $0.40
    ml.g4dn.xlarge Inference (Real-Time)
    Recommended
    Model inference on the ml.g4dn.xlarge instance type, real-time mode
    $0.90
    ml.p3.2xlarge Inference (Batch)
    Model inference on the ml.p3.2xlarge instance type, batch mode
    $0.40
    ml.c5.18xlarge Inference (Batch)
    Model inference on the ml.c5.18xlarge instance type, batch mode
    $0.40
    ml.c5.xlarge Inference (Batch)
    Model inference on the ml.c5.xlarge instance type, batch mode
    $0.40
    ml.c5.9xlarge Inference (Batch)
    Model inference on the ml.c5.9xlarge instance type, batch mode
    $0.40
    ml.c5.4xlarge Inference (Batch)
    Model inference on the ml.c5.4xlarge instance type, batch mode
    $0.40
    ml.c5.2xlarge Inference (Real-Time)
    Model inference on the ml.c5.2xlarge instance type, real-time mode
    $0.90
    ml.g4dn.4xlarge Inference (Real-Time)
    Model inference on the ml.g4dn.4xlarge instance type, real-time mode
    $0.90
    ml.g4dn.16xlarge Inference (Real-Time)
    Model inference on the ml.g4dn.16xlarge instance type, real-time mode
    $0.90

    Vendor refund policy

    Please reach out to our support team via email at aisolutions@squadstack.com 

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    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

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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
    • Support for both Hindi and English languages for telecommunication context
    • Superior runtime performance of GPU Instance

    Additional details

    Inputs

    Summary

    The model accepts binary audio data and returns a JSON object describing the transcription results. The audio data should consist of complete audio files in .wav/ .mp3 format rather than raw PCM data, stored in the input s3 bucket.

    Limitations for input type
    For our Sagemaker model package, MaxPayloadInMB is set to 20 MB, so do ensure that each individual recording is less than 20 MB in size.
    Input MIME type
    Complete audio data stored in input s3 bucket: .wav and .mp3 supported
    https://github.com/squadrun/aws-marketplace-examples/tree/main/data/input/real-time
    https://github.com/squadrun/aws-marketplace-examples/tree/main/data/input/batch

    Support

    Vendor support

    At Squadstack, we are committed to providing exceptional support to ensure a seamless experience with our AI solutions. Our dedicated support team is always ready to assist you with any inquiries, technical issues, or integration concerns. For prompt assistance, please reach out to our support team via email at aisolutions@squadstack.com . Be sure to provide a clear and concise description of your issue, along with any relevant information that will help our team understand and resolve your query effectively.

    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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