SoftServe Speech Recognition Platform
Combine the power of Gen AI with the best of human voice recognition. Accelerated by NVIDIA™ Riva and NVIDIA NIM™, SoftServe Speech Recognition Platform converts speech to text with high precision. Unlike other systems, it grasps the nuances of children's voices, which makes it ideal for new language learning, diagnosing speech disorders, and more. The solution captures even the subtlest vocal nuances, down to the phoneme level. Giving you the ability to gain consistently accurate transcriptions — even in challenging, noisy environments.
ASR systems designed for adult voices often struggle with recognizing children’s speech accurately. This leads to misunderstandings and errors, impacting the effectiveness of educational and entertainment tools for young users. Inaccurate voice recognition also hampers the ability to analyze phonemes, isolated words, and phrases, which is crucial for diagnosing dyslexia.
SoftServe Speech Recognition Platform addresses these challenges. It uses specialized datasets and advanced AI models to deliver precise accuracy for children’s speech. Accelerated by NVIDIA™ Riva, NVIDIA NeMo™ FW, and NVIDIA NIM™, the platform performs across various accents and provides detailed phoneme-level transcriptions, even in harsh acoustic conditions.
SoftServe speech recognition platform captures every nuance.
Speech Recognition Platform Overview
Speech Recognition Platform manages audio from various sources using NVIDIA Maxine Audio Effects SDK to improve it by isolating speech, removing silence, and converting formats. Postprocessing involves NLP tasks for context understanding, along with features such as scoring and autocorrections. Additionally, retrieval-augmented generation (RAG) implementation using NVIDIA NIM inference microservices supports inferencing tasks once the speech is transcribed.
With its ability to break down speech into phonemes and capture every detail, the platform supports language development and speech therapy. It's also perfect for legal professionals, call center agents, sports event coverage, and other applications.
- Ensure precise diagnoses of speech disorders
- Enhance learning experiences
- Automate manual tasks and unlock insights
- Improve customer and employee interactions
How It Works
Accurate Speech Recognition
Speech Recognition Platform captures and processes audio, preparing it for transcription. RAG enhances accuracy, especially in specialized and complex contexts.
Speech-to-Text Transformation
NVIDIA Riva converts spoken language into text and/or phonemes, with Speech Recognition Platform further enriching these transcripts. It adds metadata such as timestamps and confidence scores to improve the overall quality of the output.
Integration and Customization
Built with LLMs based on the NVIDIA NeMo stack, our Speech Recognition Platform can be integrated into your existing product. We'll tailor it to meet your functional requirements and enhance the product's capabilities.
Performance Optimization
IIn speech recognition, speed is crucial for delivering seamless user experiences. NVIDIA TensorRT and NVIDIA TensorRT-LLM ensure that our solution provides reliable, real-time performance while also scaling effectively to meet growing demands.
Solution Architecture
NVIDIA AI Enterprise Software Used
- NVIDIA Riva
- NVIDIA NIM
- NVIDIA NeMo
- NVIDIA TensorRT
- NVIDIA Maxine
Use Cases
Language Development
Language Development
- Early literacy enhancement
- New language learning
- Speaker coaching
Diagnostics and Screeners
Language Development
- Early literacy enhancement
- New language learning
- Speaker coaching
Noisy Environment Application
Language Development
- Early literacy enhancement
- New language learning
- Speaker coaching
Domain-specific Speech Recognition
Language Development
- Early literacy enhancement
- New language learning
- Speaker coaching
Language Development
- Early literacy enhancement
- New language learning
- Speaker coaching
Our Implementation Cycle
01Discovery and Solution Demo
- Meet with the client to discuss their needs and goals
- Define success criteria and constraints
- Sign an NDA to get access to proprietary data
- Demonstrate how our solution performs on customer data
02Pilot Phase
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Plan the integration with the client’s systems (if applicable)
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Provide flexible remote support
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Discuss the license agreement terms with the client
03Deployment at Scale
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Provide the product to the client
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Customize the solution to meet the client’s needs
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Support the integration process and conduct testing as agreed
04Continuous Support and Maintenance
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Support after the final deployment
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Assist during the new feature releases
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Ensure ongoing maintenance and bug fixing
- Meet with the client to discuss their needs and goals
- Define success criteria and constraints
- Sign an NDA to get access to proprietary data
- Demonstrate how our solution performs on customer data