Hance.ai

Hance.ai is a pioneering technology company specializing in real-time, embedded AI audio enhancement. Developed by a team of experts in machine learning, sound engineering, and audio processing from Acon Digital and Soundly, Hance.ai provides a suite of powerful algorithms designed to be integrated directly into audio hardware and software. The core mission is to deliver crystal-clear audio by removing noise, reverb, and other impairments, all with minimal processing delay and computational footprint. This makes high-quality audio accessible for a wide range of everyday devices and professional applications, from consumer electronics to critical communication systems.

The Hance Audio Engine is engineered for extreme efficiency. With a library size of just 5 MB and models as small as 242 KB, it can run on almost any hardware, including low-power processors. This local processing approach not only ensures processing speeds as low as 10 milliseconds but also guarantees data safety and privacy, as no audio data needs to be sent to the cloud.

How to use Hance.ai

Hance.ai is designed for developers and manufacturers to integrate into their own products. The process is streamlined for easy adoption:

1. Consultation: Get in touch with the Hance.ai team to discuss your specific use case and requirements. They offer custom model creation to solve unique audio challenges.
2. Access the SDK/API: Developers can access the Hance.ai technology through its versatile APIs, including C++, Python, and HTTP. For evaluation, a VST plugin is also available to test the real-time enhancement capabilities within any standard digital audio workstation (DAW).
3. Integration: Integrate the lightweight Hance Audio Engine library and the desired AI models (Noise Removal, Echo Removal, Stem Separation) into your hardware's firmware or your software's codebase. The small footprint ensures minimal impact on system resources.
4. Deployment: Once integrated, your product can offer real-time audio enhancement as a native feature, providing a superior audio experience to your end-users.

Core Features of Hance.ai

• Real-time Noise Removal: This model is optimized to eliminate background noise from live voice communications. It effectively cleans up audio from busy environments like construction sites or call centers, making it ideal for critical communications, hearing aids, and conferencing software.
• Real-time Echo Removal: This feature targets and removes room echo (reverberation), which can make speech difficult to understand. By integrating this model, video conferencing applications can provide clearer, more intelligible conversations and a better overall user experience.
• Real-time Stem Separation: A revolutionary feature for the music industry, this AI model can separate a music track into its constituent parts (vocals, bass, drums, piano) in real-time. Users can adjust the volume of each stem or remove them completely, opening up creative possibilities for DJs, producers, and music apps without any pre-loading or offline processing.

Use Cases for Hance.ai

The versatility of Hance.ai's technology allows for a broad range of applications across various industries:

• Video Conferencing: Integrated into platforms like Zoom or Teams to eliminate background noise and echo, leading to a 40% reduction in audio-related support calls for one client.
• Consumer Electronics: Embedded in devices like baby monitors, smart speakers, and boom blasters to enhance audio clarity.
• Hearing Aids: Improving speech intelligibility for the hearing impaired by filtering out ambient noise in real-time.
• Music Technology: Powering music software and hardware with instant stem separation for remixing, practice, or karaoke applications.
• Critical Communications: Ensuring clear and reliable voice communication for emergency services, aviation, and industrial sectors.

Advantages of Hance.ai

Hance.ai stands out from other audio solutions with several key advantages:

• Extreme Efficiency: The models are incredibly lightweight in terms of both memory and CPU usage, making them suitable for resource-constrained devices.
• Real-Time Processing: With latency as low as 10ms, the audio enhancement is virtually instantaneous, crucial for live applications.
• Embedded and Secure: All processing happens locally on the device, ensuring user privacy and data security without reliance on cloud servers.
• Customizable: Hance.ai can develop custom-trained AI models to meet the specific needs of any product or environment.
• Expert-Driven: The technology is the result of over 50 years of combined experience in sound engineering and machine learning.

Pricing and Plans

Hance.ai operates on a B2B model with pricing tailored to the specific needs of each partner. The cost depends on the scale of integration, the models required, and the level of customization. Interested companies are encouraged to book a meeting with the Hance.ai team to discuss their project and receive a custom quote. Free trials and evaluations are available through their SDK and VST plugin.