NVIDIA Riva for Startups

Speech AI Technology

Need an expert to implement NVIDIA RIVA?

Data Monsters is the best choice
Data Monsters is a team of experts in speech and natural language AI. We help startups to create and upgrade their products. Data Monsters is an Elite Partner of NVIDIA. We completed 100+ projects in AI since 2009.
We will help you:
Create speech-enabled product prototypes and production-ready solutions
Train Riva to recognize domain-specific lingo
Configure and deploy Riva for offline and real-time speech recognition
Synthesize natural-sounding and expressive custom voices
Optimize performance and accuracy
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What is 

NVIDIA Riva is a GPU-accelerated SDK for building state-of-the-art Speech AI applications that are customized for your use case and deliver real-time performance.
Try and Download NVIDIA Riva >
Most popular NVIDIA Riva applications
Riva for Call centers and Customer Service
Riva for smart devices and self-service kiosks
Riva for
Riva for enterprise document processing
Riva for media and marketing

Why Riva is the best Speech technology

for your future product

State-of-the-Art AI
Built on a decade of AI innovations by NVIDIA across hardware, model architectures, training techniques, inference optimizations, and deployment solutions.
Fully Customizable
Flexibility at every step, from modifying model architectures to fine-tuning models on your data and customizing pipelines, as well as the ability to deploy on any platform.
Leading Performance
Continuous optimizations across the entire stack, from models to software to hardware, deliver 12X the gain versus the previous generation.
NVIDIA Riva at GPU Technology Conference Keynote


NVIDIA announced Riva 2.0 in general availability
NVIDIA GTC highlights include:
  • World-class automatic speech recognition in seven languages.
  • Neural-based text to speech, generating high-quality, human-like voices.
  • Domain-specific customization with TAO Toolkit and NeMo.
  • Support to run in-cloud, on-prem, and on embedded platforms.
NVIDIA also announced Riva Enterprise, providing enterprises with large-scale deployments access to speech experts at NVIDIA. Enterprises can try Riva with guided labs on ready to run infrastructure in LaunchPad.

Data Monsters
is your best NVIDIA Riva implementation partner

data monsters logo
Data Monsters, a Palo Alto-based AI consulting company, is an NVIDIA Elite Partner who helps funded startups and enterprise R&D teams design and implement NVIDIA Riva-based software and hardware solutions and products. With our 15 years in AI, hundreds of completed projects, and Elite NVIDIA expertise, we are ready to become your trusted development team and accelerate releases of your AI product.
Data Monsters NVIDIA Elite Partner
As an Elite Partner, Data Monsters has early and extended access to NVIDIA Riva technology. We have the right hardware and software component to experiment with the latest Riva modules several months before the official public release. Our direct connection with the Riva development team at NVIDIA helps to follow the best deployment practices, optimize configuration settings, calibrate the deployed pipelines, and adapt real-time streaming to different GPU chips.
NVIDIA Riva development requires a specific expertise. It's a new and constantly evolving technology. Save your team time on adaptation and experiments. Hire Data Monsters to get this done.
Creating prototypes/MVPs of speech systems. If you have an idea of a product that requires speech recognition or text processing, a chatbot, an RPA tool, an intelligent kiosk, a document processing app, we have a lot of pre-built components that can accelerate your development.
Developing scalable solutions. A real-time voice / text processing product requires perfection at all steps, starting from the right choice of the hardware, GPU-qualified servers, scalable architecture design, data collection and preparation, down to the neural networks training and deployment.
Here are some types of work you may need assistance with:
Voice data labeling and cleansing
Labeled voice data should be very accurate for Riva fine-tuning. Voice transcripts must have an exact match to the voice files. Every second matters, otherwise fine-tuning is prone to errors.
Converting to the required formats and manifests
In order to work with Riva the data should have LPCM encoding and channel splitting, with silence blocks removed. Text should be normalized, and common contractions and interjections handled.
Custom language model training
When creating custom voice processing, you need to create vocabularies for your custom domain. General language is usually recognized well out of the box, but special terminology and brand names are always misrecognized. With thousands of special words, you need to create a balanced vocabulary and train the model the right way.
Acoustic model fine-tuning
After preparing the acoustic transcriptions of in-domain terms, with the list of common misspellings, you need to run fine-tuning and evaluation using NeMo and TAO.
Building the ASR model using Riva Service Maker
Your acoustic model, language model and lexicon should be optimized for streaming or online usage through finding optimal VAD and adjusting Riva-build parameters.
Deploying the streaming models on a Triton server
Riva deployment is a multi-step process which has many aspects, including the types of server GPUs. Triton inference servers are able to serve both Riva and non-Riva ASR models for particular languages.
Performance testing and optimization
After deployment, the system should be monitored and optimized to improve throughput, reduce latency, and memory usage.
Don't go it alone - this work can take months of tinkering. Data Monsters has the relevant experience to help you design the system and accelerate your product releases.

Start working with Data Monsters

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Use Cases

Financial Memorandum Processing
Tech Support
Startup Incubator Chatbot
Topic Modeling for a Nationwide TV Channel
Contact Center Conversation Analysis
Semantic Search in Equipment Tutorials
Fact Extraction From PDFs And Text
Investment Virtual Assistant for a Bank
Jobs and Resumes Recommendation Engine
Automated Report Generation
Media Content
Warranty Analytics for Service, Insurance, and Manufacturing Companies
Clinical Decision