Overview
Understanding Emotion-Aware AI: The Next Step in Customer Service Evolution. While traditional AI solutions focus on transactional elements, the Smartbot ML Model is Emotion-Aware AI, focusing on the human side of customer interactions by analyzing the sentiment and tone behind them. Emotion-aware AI systems can detect subtle emotional cues like vulnerability, frustration, and satisfaction. SERTS (Sentiment Evaluation in Real-time Speech) uses advanced machine learning algorithm to evaluate sentiment in real time. This helps businesses truly understand their customers voices and emotions and deliver empathetic, AI-driven support for vulnerable customers and beyond
Highlights
- Smartbot is emotion-aware AI that analyses the emotional tone to detect cues like frustration or satisfaction or vulnerability. Powered by SERTS (Sentiment Evaluation in Real-time Speech). It uses advanced an ML algorithm to evaluate sentiment in Real-time as well as helping businesses understand customer emotions and deliver empathetic AI-driven support
- SERTS deep learning algorithm performs competitively with state-of-the-art models, achieving a mean Macro-F1 score of 72 percent on the challenging improvised scripts of the IEMOCAP dataset. This model was trained and tested using an NVIDIA RTX 6000 Ada GPU
Details
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Features and programs
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Pricing
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.m5.xlarge Inference (Batch) Recommended | Model inference on the ml.m5.xlarge instance type, batch mode | $0.00 |
ml.m5.xlarge Inference (Real-Time) Recommended | Model inference on the ml.m5.xlarge instance type, real-time mode | $0.00 |
ml.m5.large Inference (Batch) | Model inference on the ml.m5.large instance type, batch mode | $0.00 |
ml.m5.large Inference (Real-Time) | Model inference on the ml.m5.large instance type, real-time mode | $0.00 |
ml.c5.xlarge Inference (Batch) | Model inference on the ml.c5.xlarge instance type, batch mode | $0.00 |
ml.g4dn.xlarge Inference (Batch) | Model inference on the ml.g4dn.xlarge instance type, batch mode | $0.00 |
ml.c5.xlarge Inference (Real-Time) | Model inference on the ml.c5.xlarge instance type, real-time mode | $0.00 |
ml.g4dn.2xlarge Inference (Real-Time) | Model inference on the ml.g4dn.2xlarge instance type, real-time mode | $0.00 |
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This is a free product and does not require payment or refunds. For any support or refund concerns, email support@smartbotsoftware.com or go to smartbotsoftware.com and navigate to the Contact Us section
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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.
Version release notes
SmartBot V2 introduces a multimodal emotion recognition model capable of processing raw audio inputs in real time. This version supports base64-encoded .wav inputs and performs speech-to-text transcription, spectrogram generation, and text-audio fusion for emotional analysis. Compared to V1, this version has improved accuracy on diverse speakers and emotion categories
Additional details
Inputs
- Summary
SmartBot V2 accepts JSON input structured as a dictionary of base64-encoded .wav audio clips. Each entry must include a unique uid key. No text input is required—the system performs speech-to-text internally. Example format:
{ Â "invocations": { Â Â Â "uid123": "", Â Â Â "uid456": "" Â } }
- Limitations for input type
- - Audio must be mono `.wav` format, 16-bit PCM, 16kHz. - Max file size per audio clip: 3 MB - Each request supports up to 10 audio clips
- Input MIME type
- application/json
Resources
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Support
Vendor support
Smartbot provides prompt and reliable support for all users. Our team is available Monday to Friday (9 AM to 5 PM BST) to assist with technical queries. Customers can expect a response within 48 hours of raising a support request. For critical issues, we prioritise resolution with utmost urgency. We are committed to ensuring a smooth and valuable experience with Smartbot Support Email: support@smartbotsoftware.comÂ
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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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