Powering through Noise: The AI Digital Signal Processing Revolution
In the world of signal processing, the quest for clearer and more accurate signals has always been a top priority. Traditional signal processing has served us well in the past, but with the rapid advancements in technology, AI/ML-based digital signal processing (DSP) has taken center stage. One of the key advantages of using AI for DSP is its superior audio quality and noise suppression capabilities. In this blog post, we'll explore how AI-powered digital signal processing outperforms traditional signal processing techniques when it comes to noise suppression for speech.
The Noise Problem for Traditional Signal Processing and Speech
When it comes to speech communication, noise is an unwanted disturbance that interferes with the transmission and interpretation of verbal signals. The presence of noise can significantly degrade the quality of the received signal, making it difficult or even impossible to extract the desired speech information by humans and machines. Traditional signal processing techniques often struggle with speech and noise suppression, relying on static elements that lack processing adaptability and generally cause additional speech signal degradation.
Enter AI-Powered Noise Suppression Algorithms
AI powered DSP algorithms are opening new doors for human and machine capabilities for noise suppression and speech understanding. Let’s take a closer look at some of the advantages AI based DSP algorithms have over traditional signal processing.
Enhanced Noise Suppression: AI-powered DSP techniques are better at suppressing noise, providing clearer and more accurate signals. OmniSpeech’s next-gen advanced algorithms can adapt to changing signal and noise characteristics, resulting in more effective noise suppression as measured by 3QUEST N-Mos and S-Mos scores.
Precision and Stability: AI-based models have higher precision and stability based on the large data models used to generate them. Overall, AI-based models reduce errors and noise introduced by a wider variety of noises (if appropriately trained). They are also less susceptible to environmental and voice variations, ensuring consistent performance across a wider set of use-cases.
Real-time Processing: AI-powered DSP can process signals in real-time, enabling noise suppression as it occurs. This is particularly valuable in applications requiring real-time communication and signal processing such as VoIP, hearing aids, and other platforms where ultra-low-latency is critical. Traditional processing can process signals in real-time as well, but with significantly lower performance.
Advanced AI Algorithms: AI allows for the implementation of sophisticated noise suppression algorithms not possible with traditional methods, resulting in better signal quality. AI models from OmniSpeech get better over time and can be custom trained or implemented for general or specific end customer use cases. Whatsmore, OmniSpeech provides various size models optimized for different use cases and all provide results that exceed performance of other solutions.
Scalability and Flexibility: AI-based DSP algorithms are highly scalable and flexible, making it easier to implement across any app or device. OmniSpeech AI noise suppression algorithms can be easily customized (and updated) for specific customer applications, further enhancing their capabilities. Another benefit of OmniSpeech AI powered noise suppression algorithms is that they support single or multiple microphone configurations, low CPU processing power devices (like IoT, headsets, and TWS), and are already available on leading enterprise and DSP platforms such as Tensilica HiFi series and more.
Conclusion
AI-powered digital signal processing algorithms are ushering in a new age of superior noise suppression and speech enhancement capabilities. As the preferred choice for modern speech communication systems, AI powered algorithms from OmniSpeech will result in improved voice experiences across a multitude of consumer, enterprise, and government applications.
Want to learn more about OmniSpeech AI algorithms and performance? Visit our solutions page.