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Audio Processing.  

Audio processing

What is Audio processing?

Audio processing is a multifaceted domain that operates on the frontier of technological advancements to capture, manipulate, analyse, and synthesise sound. Deep tech solutions allow us to unlock capabilities beyond traditional sound processing techniques.

Within this cutting-edge framework, artificial intelligence, deep neural networks, and sophisticated algorithms can help us orchestrate an environment where sound is not just edited or enhanced but also comprehended and generated in unprecedented ways.

Emerging technologies for audio processing.

Innovations in emerging technologies extend to applications like real-time speech recognition and translation, intricate sound synthesis, and even emotion and context recognition. Here are some use examples of new technologies and their applications in audio. 


Watermarking is a methodology for invisibly watermarking the audio or video streams with a unique receiver identifier. Ideally, the watermark should be insensitive to the compression and transformations of the audio or video. You can use it to track the data’s potential source of the “leak” by retrieving the receiver ID from the leaked stream.

Speech denoising

Broadcasting can be particularly useful in noisy environments where multiple background sounds are captured by the microphone and the speaker’s voice, e.g., during a game, riots or harsh weather conditions. Separating the speech audio signal from the background noise can improve the clarity and intelligibility of the transmitted speech.

Text-to-speech and voice cloning

Speech synthesis connected with voice cloning allows for synthesising a specific person’s voice in cases when, for instance, the speaker is unavailable or costly. Realistic, expressive speech synthesis is crucial for a human-like experience for the listeners.

Video analysis 

For sports events, we can analyse videos from multiple cameras to reconstruct 3D details of the specific game (tennis, football, basketball) and generate statistics taking into account tracking of the players among numerous cameras, rebuilding their body movement, and summarising the most important statistics.

A few facts  about the importance
of audio processing.

The global speech and voice recognition market, valued at USD 10.42 billion in 2022, is projected to grow to USD 59.62 billion by 2030, with a Compound Annual Growth Rate (CAGR) of 24.8%.

As per a 2021 report, web conference transcription, enhanced by speech and voice recognition technology, accounted for around 44% of the voice technology market share.

The last decade has seen substantial advancements in AVSR methods, although challenges in audio-visual speech decoding persist.

Deep learning contributes to music signal processing. For instance, a 2023 research publication discussed an automatic music signal mixing system based on one-dimensional Wave-U-Net autoencoders.

Voice recognition

What to expect in the future?

The progress in machine learning, deep learning, and neural networks will allow us to perform more sophisticated audio analysis and interpretation, enabling real-time processing, noise cancellation, speech recognition, and synthesis at a large scale. The continuous accumulation of large datasets and advancements in Natural Language Processing (NLP) and Automated Speech Recognition (ASR) can further hone audio processing systems’ accuracy and efficiency.

More granularly, combining deep reinforcement learning (DRL) with audio processing may revolutionise artificial intelligence (AI) applications, endowing systems with a higher understanding and interaction with real-world auditory scenes. The emerging trend of Edge AI, where AI algorithms are processed locally on a hardware device, is expected to be crucial in reducing latency and enhancing real-time audio processing capabilities.

Moreover, the additional R&D in the field will likely discover novel algorithms and methodologies that could significantly alleviate the challenges currently faced in audio-visual speech recognition and other audio-processing applications and challenges.

Natural language processing

Build your audio-processing projects with our team.

Our experts will happily help you find the perfect solution with audio-processing capabilities. Whether it’s a speech recognition idea or denoising applications, with our vast knowledge and R&D background, we’re ready to explore both possible and impossible. Don’t hesitate to contact us and tailor a product that will meet or even exceed your expectations.

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