Fennaio | artificial intelligence software

Voice and Sound Recognition AI Software for the Engineering industry

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Machine Learning Data Science Software
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We are specialists in the practical application of Artificial Intelligence including Voice and Sound Recognition AI, Machine Learning, Deep Learning and Data Science Software used within Engineering processes and operations

AI can be trained to accurately recognise specific sounds, whether it be precise process noises, or distinct human vocal emotions.

The power of sound and voice recognition

Being able to automatically recognise patterns, tones, frequencies, pitch and variabilities in sounds and voices is an extremely powerful tool in a wide range of businesses, operations, tasks and processes.

By learning from known and highly variable sound and voice characteristics including all the in-between highly variable and unpredictable acoustic attributes; sound and voice recognitions becomes more insightful, more meaningful, more accurate and much more beneficial when used for tasks and processes like: e.g. sound classification, automatic and rapid sound-based diagnosis, anomaly detection, quality control, computer hearing, behavioural analysis, investigations, self-driving vehicles, threat assessment, robotics, security, and responding to audible changes in any type of dynamic, moving environment, amongst many more cases.

The accuracy of sound and voice recognition is directly proportional to what is already known about certain sounds and voices (e.g. their full range of acoustic attributes): the more past voices and sounds to learn from the more accurate and informed we can conduct future voice and sound recognition.

NameELDR-I Sound
Release DateApril 2021
Hosting/installationLocal Standalone, Internal Network or Cloud
IntegrationDirect coupling or RESTful API
PriceContact Us
LicenceContract basis
SLAContract basis
UpgradesContract basis

Artificial Intelligence makes sound and voice recognition highly dynamic and incredibly accurate

Learning from past voices and sounds in order to recognise the same type of audible stimuli in the future might sound straightforward - it is of course exactly what a human brain does all the time - but making this process automatic and asking a machine to do this is extremely complex and demanding, mainly due to the huge amount of variability involved in acoustics: pitch, volume, frequency, amplitude, range, modulation etc - and these are variations that can happen for just one sound, let alone when you have numerous sounds in the same environment.

If a traditional software programming approach was used, the computer would continually be asking "if this, then learn that; if x and y, learn z". This stepwise methodology is extremely limited, inefficient and resource-heavy as the program will only do what it has explicitly been told to look for by the programmer; making it next to impossible to account for all possibilities and variations, even in the simplest of sounds. You certainly couldn't use this approach for complex and diverse scenarios e.g. multiple and variable voices and sounds in the same time or space.

With AI and Machine Learning technology it is now possible to learn from near infinite amounts of variable, constantly changing voice and sound data in order to carry out much more accurate sound recognition, automatically.

ELDR-I Sound is a powerful Deep Learning Voice and Sound Recognition package that can accurately and rapidly help recognise unlimited voices and sounds based on variable past and complex acoustic data it has learnt from

ELDR-I Sound is built around our powerful ELDR-I AI Engine, which is a Deep Learning Convolutional Neural Network. ELDR-I Sound uses Supervised Learning and Sound/Voice Classification to learn how to recognise all types of voices and sounds thrown at it.

When ELDR-I Sound has learnt (trained) from the data, it is then primed to receive current-status voice and sound data in real time, or from a recording from which to rapidly and accurately recognise/classify sounds within - in order to give a response - and that response can range from a simple classification to a "yes/no" to triggering sophisticated downstream events.

ELDR-I Sound is highly dynamic, autonomous, configurable, graphical and easily integrated


ELDR-I Sound can handle and learn from multiple sources, sizes and complexities of voice and sound data for numerous environments and requirements simultaneously. Data can be changed at any time and it can continually learn.


By default ELDR-I Sound is plug and play - you can simply give it appropriately formatted acoustic data and it will automatically learn from it, including self optimisation, self scaling and classification.


In some cases you may be happy with plug and play, however almost everything in ELDR-I Sound is configurable; from labelling of images, to colours, displays, output format, learning modes, learning accuracy, all the way through to Convolutional Neural Network dynamics and dimensions.


ELDR-I Sound uses a rich intuitive GUI Dashboard from which to manage the whole AI process (sound and voice data preparation, learning, outputting and testing), including a comprehensive suite of gamified charts and other visual displays to monitor everything.

Easily Integrated

AI Integration is our speciality. We understand that AI can be used in a variety of ways and in numerous system-types and processes. We build our software to be entirely modular and there are multiple integration methods and points ranging from network-based RESTful API integration to direct coupling at the code level, depending on the response time required, amongst other considerations.

Key points about our Voice and Sound Recognition AI software

  • Can help recognise voices and sounds within live feeds or recordings to a high degree of accuracy, after learning from past acoustic data
  • Can handle numerous data streams and outputs simultaneously
  • Uses our powerful ELDR-I AI Deep Learning Convolutional Neural Network Engine
  • Dynamic
  • Autonomous
  • Configurable
  • Graphical
  • Easily Integrated

Example areas where Fennaio can help with AI, Machine Learning and Deep Learning in the Engineering industry

AI can be used all over the Engineering industry, including these processes, operations and tasks:
  • modelling
  • analytics
  • forecasting and predictions
  • mechanical engineering
  • aeronautical engineering
  • electrical engineering
  • electronic engineering
  • chemical engineering
  • process engineering
  • management
  • civil engineering
  • general engineering
  • design
  • risk
  • safety
  • research
  • planning
  • process design
  • process control
  • process operations
  • process economics
  • process data analytics
  • many more...

How Fennaio can help you efficiently integrate Voice and Sound Recognition AI Software with your Engineering operations

AI Education

for Voice and Sound Recognition in the Engineering industry
Fennaio helps your Engineering organisation with understanding the fundamentals of exactly what Voice and Sound Recognition AI is, how you can use it, where you can use it and how you can implement and integrate it - all in an easy-to-digest manner.

AI Strategy

for Voice and Sound Recognition in the Engineering industry
Fennaio works closely with you and your relevant teams to understand your Engineering organisation operations and your long term goals so we can plan when and where to introduce Voice and Sound Recognition Artificial Intelligence with minimum disruption and maximum benefit.

AI Tooling & Development

for Voice and Sound Recognition in the Engineering industry
Fennaio provides all the relevant hardware, software, network and infrastructure requirements you need to implement Voice and Sound Recognition Artificial Intelligence, whether this be an off-the-shelf software product or system, or a completely bespoke solution, a standalone piece of software or an enterprise-grade package.

AI Data Analytics

for Voice and Sound Recognition in the Engineering industry
Fennaio partners with you to fully understand your current data, how it relates to and is currently gathered from your current Engineering operations, and how to harvest, analyse and prepare it for use in Voice and Sound Recognition Artificial Intelligence and Machine Learning to result in maximum gain.

AI Learning

for Voice and Sound Recognition in the Engineering industry
Fennaio will use your correctly formatted data streams to train the Voice and Sound Recognition AI, Machine Learning or Deep Learning system by using an optimisation and scaling up procedure until the Voice and Sound Recognition AI is fully and continually primed to start outputting useful information for your Engineering operations.

AI Visualisation

for Voice and Sound Recognition in the Engineering industry
When the Voice and Sound Recognition AI is fully trained, Fennaio will feed it live Engineering operations or test data and use various visualisation techniques to confirm with you a beneficial output is being achieved; whether this be a prediction, pattern recognition, a rapid analysis, a diagnosis or any other type of output.

AI Integration

for Voice and Sound Recognition in the Engineering industry
When you are satisfied the Voice and Sound Recognition AI software is producing effective results, we will integrate the AI into your existing systems if required. Whether this be at the code level, integration over a network or as a standalone process, we will seamlessly integrate the AI with your Engineering operations.

AI Delivery

for Voice and Sound Recognition in the Engineering industry
After the Voice and Sound Recognition AI is successfully integrated into your Engineering operations, we will continue to monitor the whole Voice and Sound Recognition AI process from data acquisition, analysis, processing, learning, visualisation and output until you are fully satisfied you have an AI system that is achieving your operational goals.

Other AI Software for the Engineering industry

As well as Voice and Sound Recognition software for the Engineering industry, we provide a comprehensive set of other Artificial Intelligence, Machine Learning, Deep Learning and Data Science software:

How Fennaio works with you at every stage of the AI and ML Integration process.

Whether you are starting out on your first AI project, just interested in the possibilities of AI or are wanting to expand your existing AI suite, we are here to help.

AI Survey & Plan

We will discuss with you where you are, where you want to be, and how we can achieve it with AI - whether by a bespoke solution or using one of our off-the-shelf products

AI Data Analysis & Preparation

We will work with you to gather, analyse and prepare all your relevant data sources for use in the AI system(s)

AI Execute & Visualisation

We will run and tune the AI throughout the AI learning process and enable the AI to produce a real time visual output to confirm the AI is producing beneficial results

AI Integration

When you are satisfied the AI is delivering the results you desire, we will integrate the AI with your new or existing systems

You are one step closer to getting Artificial Intelligence into your Engineering organisation

Fennaio has the expertise in the Engineering sector to get you up and running with Voice and Sound Recognition AI and Machine Learning in your new or existing systems, software and operations.

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