Automatic Speech Recognition

Bring voice features to your product or service

Speech recognition doesn’t catch your product name or domain-specific lingo?

Training and testing ASR systems can be a time-consuming and resource-intensive process due to its challenges:
  • A number of SaaS solutions with different APIs and low customization features
  • Rare or uncommon language or accents
  • Many open-source solutions are hard to deploy and test to find the best fit for your task
  • You have a small dataset to tune the model or even have none at all
  • Insufficient robustness for noises
  • Deploying the system for production usage (enough throughput with a minimum of hardware)
Data Monsters has the solution to overcome all of these challenges. We have domain-specific ASR models for different languages and unique datasets to train models for new tasks.
As an NVIDIA Elite partner, we have the best knowledge of NVIDIA Riva, including its pros and cons. Our team consists of ML Engineers, Data Assessors, and Software and DevOps Engineers.
We will help you with the following:
Choice of a best-fit solution (SaaS, managed solution, or new development)
Compare different solutions and ASR models
Understand a set of domain-specific terms to improve ASR accuracy
Collect the data to train ASR models
Train ASR models on yours or our hardware
Design and develop voice features for your product or service
Optimize ASR models for GPU/TPU/FPGA devices, for cloud or edge computing
Deploy and test ASR models
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What is AUTOMATIC SPEECH RECOGNITION?

Automatic speech recognition (ASR) is a technology that enables computers to recognize and interpret spoken language. It is used in a variety of applications, such as voice-activated commands, voice search, and automated customer service. ASR systems use algorithms to analyze audio signals and convert them into text.
Most popular ASR applications:
Call centers and customer service
Smart devices and self-service kiosks
Digital avatars
ASR for education
Video-conferencing

WHY YOU SHOULD CHOOSE DATA MONSTERS FOR YOUR NEXT ASR PROJECT

Experienced team
Our team includes experienced ML and software engineers engineers, as well as data scientists who have the knowledge and expertise to implement speech recognition for a wide range of applications.
Great tools
We use advanced tools and techniques, including NVIDIA Riva and open-source models for different hardware platforms.
Mature process
We have a mature process for ML-based product development, allowing us to deliver high-quality data in a timely manner.
Hardware
We have access to powerful hardware, including GPU servers, which enables us to train business-related models in a short amount of time.
Price-performance ratio
Our services offer an excellent price-performance ratio, making it a cost-effective solution for training and testing NLP software.

DATA MONSTERS IS YOUR BEST GPU-BASED AUTOMATIC SPEECH RECOGNITION IMPLEMENTATION PARTNER

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Data Monsters, a Palo Alto-based AI consulting company, is an NVIDIA Elite Partner who helps funded startups and enterprise R&D teams to design and implement ASR pipelines along with 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 the releases of your AI product.
NVIDIA Elite Partner Badge
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.
IF YOU NEED ASR MODELS, CALL DATA MONSTERS
Your team may spend too much time on experimentation and adaptation. Data Monsters can help you to accelerate your success using the best tools, practices, and talents.
Here are some types of work you may need assistance with:
Choice of a best-fit solution (SaaS, managed solution, or new development)
Voice interface is becoming increasingly commonplace. However, there are various ways to implement it. The chosen method will be the foundation of all voice capabilities. Our team will assist you in evaluating the advantages and disadvantages of the different solutions from both a technical and commercial standpoint.
Compare different solutions and ARS models
In order to select the best solution for your case, you must design an experiment to make a fair comparison. This can be a difficult task, especially when dealing with modern technologies that may not have an easy way to test them. To find the best solution, you must thoroughly investigate each one. Our consulting agency has extensive experience in AI benchmarking.
Understand a set of domain-specific terms to improve ASR accuracy
Our team can examine your voice and text data, as well as any other related data sources, to identify business-critical terms and create an ASR model that can detect them, as general purpose speech recognition is usually unsuccessful with domain-specific and enterprise-specific terms.
Collect the data to train ASR models
In order to train an ML system, including ASR, it is necessary to have as much data as possible. To teach the system a new language or terms, it must be trained on at least 200 hours of transcribed audio related to the task. Unfortunately, most of our clients only have 5 hours of audio. Data Monsters has a wide selection of audio recordings for various languages and topics, and can help you set up a data collection and labeling process in your product to ensure continuous improvement of speech recognition quality.
Train ASR models on yours or our hardware
To attain the highest accuracy, ML engineers must conduct a series of experiments. Data Monsters has its own NVIDIA DGX servers, allowing us to do all the training without our clients having to manage the hardware. This requires powerful hardware such as NVIDIA V100 servers with multiple GPUs.
Design and develop voice features for your product or service
Data Monsters are collaborating with startups and enterprise product teams to create and deliver ML-enabled products and services. We have a strong track record and are continuously investigating the market to discover viable uses for AI technologies.
Optimize ASR models for GPU/TPU/FPGA devices, for cloud or edge computing
When deploying and expanding AI applications, computing resources may become a limiting factor. Data Monsters can design system architecture and optimize ML models to reduce the cost of using AI in production and at scale without sacrificing accuracy.
Deploy and test ASR models
Our team can provide your tech team with all the necessary scripts and tools to improve and strengthen your ML models. Our ML and DevOps engineers have expertise in various serving solutions, and our Data Scientists can create an automated quality control process. We can also support your system by constructing a pipeline to automate the train/test/deploy process.
Don't go it alone - this work can take months of tinkering. Data Monsters has the relevant experience to help you design a system and accelerate your product releases.

Start working with Data Monsters

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Use Cases

Financial Memorandum Processing
E-LEARNING APP
FOR KIDS
Legal
Chatbot
Internal
Tech Support
SOCIAL E-LEARNING AND KNOWLEDGE MINING
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
Compliance
Tracking
Automated Report Generation
Media Content
Processing
Recommender
Systems
Warranty Analytics for Service, Insurance, and Manufacturing Companies
Document
Processing
Grammar
Correction
Text
Summarisation
Email
Classification
Clinical Decision
Support
Virtual
therapists
Credit
scoring
Fraud
detection